From f8bf163246fc97c41083fcc58ff176787e2a51ff Mon Sep 17 00:00:00 2001
From: Evan <evan@shortbread.ai>
Date: Tue, 19 Mar 2024 21:16:28 +0000
Subject: [PATCH 001/125] changes

---
 requirements_versions.txt |   3 +++
 screenshot.png            | Bin 420577 -> 0 bytes
 webui-user.sh             |   8 ++++----
 webui.sh                  |   2 +-
 webuidetection.sh         |  29 +++++++++++++++++++++++++++++
 5 files changed, 37 insertions(+), 5 deletions(-)
 delete mode 100644 screenshot.png
 create mode 100755 webuidetection.sh

diff --git a/requirements_versions.txt b/requirements_versions.txt
index 5e30b5ea18b..17203da4c07 100644
--- a/requirements_versions.txt
+++ b/requirements_versions.txt
@@ -23,8 +23,11 @@ safetensors==0.4.2
 scikit-image==0.21.0
 spandrel==0.1.6
 tomesd==0.1.3
+markupsafe==2.0.1
 torch
 torchdiffeq==0.2.3
 torchsde==0.2.6
 transformers==4.30.2
 httpx==0.24.1
+xformers==0.0.23.post1
+insightface
diff --git a/screenshot.png b/screenshot.png
deleted file mode 100644
index 47a1be4ec43e315f3e47139b10b0f9a8045904f3..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/webui-user.sh b/webui-user.sh
index 70306c60d5b..6d4230ad363 100644
--- a/webui-user.sh
+++ b/webui-user.sh
@@ -10,16 +10,16 @@
 #clone_dir="stable-diffusion-webui"
 
 # Commandline arguments for webui.py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention"
-#export COMMANDLINE_ARGS=""
+export COMMANDLINE_ARGS="--listen --no-gradio-queue --no-half-vae --reinstall-torch --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
 
 # python3 executable
-#python_cmd="python3"
+python_cmd="/home/evanhu/.pyenv/versions/3.10.13/envs/venv/bin/python3.10"
 
 # git executable
 #export GIT="git"
 
 # python3 venv without trailing slash (defaults to ${install_dir}/${clone_dir}/venv)
-#venv_dir="venv"
+venv_dir="/home/evanhu/.pyenv/versions/3.10.13/envs/venv"
 
 # script to launch to start the app
 #export LAUNCH_SCRIPT="launch.py"
@@ -28,7 +28,7 @@
 #export TORCH_COMMAND="pip install torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113"
 
 # Requirements file to use for stable-diffusion-webui
-#export REQS_FILE="requirements_versions.txt"
+export REQS_FILE="requirements_versions.txt"
 
 # Fixed git repos
 #export K_DIFFUSION_PACKAGE=""
diff --git a/webui.sh b/webui.sh
index f116376f73c..fae79c77837 100755
--- a/webui.sh
+++ b/webui.sh
@@ -67,7 +67,7 @@ then
 fi
 
 # this script cannot be run as root by default
-can_run_as_root=0
+can_run_as_root=1
 
 # read any command line flags to the webui.sh script
 while getopts "f" flag > /dev/null 2>&1
diff --git a/webuidetection.sh b/webuidetection.sh
new file mode 100755
index 00000000000..c15501c9259
--- /dev/null
+++ b/webuidetection.sh
@@ -0,0 +1,29 @@
+#!/bin/bash
+
+# Name of your node application file
+NODE_APP="webui.sh"
+
+# Check if the monitor script is already running
+
+
+
+MONITOR_COUNT=$(pgrep -f "webuidetection.sh" | grep -v "^$$$" | wc -l)
+if [[ $MONITOR_COUNT -gt 2 ]]; then
+    echo "Another instance of monitor.sh is running. Exiting. $MONITOR_COUNT"
+    exit 1
+fi
+
+# Function to check if the Node app is running
+is_app_running() {
+    pgrep -f "$NODE_APP" > /dev/null
+    return $?
+}
+
+# Main loop to check and start the Node app if not running
+while true; do
+    if ! is_app_running; then
+        echo "webui app is not running. Starting it now..."
+        sudo nohup ./webui.sh --listen --xformers --upcast-sampling  --skip-torch-cuda-test --enable-insecure-extension-access --no-half-vae --api --port 7890 &
+    fi
+    sleep 10 # Check every 10 seconds
+done

From f8391b8a8ff61bf7ebcddc9b387e6c2f206ed056 Mon Sep 17 00:00:00 2001
From: evan <evan@shortbread.ai>
Date: Tue, 19 Mar 2024 22:03:31 +0000
Subject: [PATCH 002/125] chmod

---
 .eslintignore                                       |   0
 .eslintrc.js                                        |   0
 .git-blame-ignore-revs                              |   0
 .github/ISSUE_TEMPLATE/bug_report.yml               |   0
 .github/ISSUE_TEMPLATE/config.yml                   |   0
 .github/ISSUE_TEMPLATE/feature_request.yml          |   0
 .github/pull_request_template.md                    |   0
 .github/workflows/on_pull_request.yaml              |   0
 .github/workflows/run_tests.yaml                    |   0
 .github/workflows/warns_merge_master.yml            |   0
 .gitignore                                          |   0
 .pylintrc                                           |   0
 CHANGELOG.md                                        |   0
 CITATION.cff                                        |   0
 CODEOWNERS                                          |   0
 LICENSE.txt                                         |   0
 README.md                                           |   0
 configs/alt-diffusion-inference.yaml                |   0
 configs/alt-diffusion-m18-inference.yaml            |   0
 configs/instruct-pix2pix.yaml                       |   0
 configs/sd_xl_inpaint.yaml                          |   0
 configs/v1-inference.yaml                           |   0
 configs/v1-inpainting-inference.yaml                |   0
 .../Place Textual Inversion embeddings here.txt     |   0
 environment-wsl2.yaml                               |   0
 extensions-builtin/LDSR/ldsr_model_arch.py          |   0
 extensions-builtin/LDSR/preload.py                  |   0
 extensions-builtin/LDSR/scripts/ldsr_model.py       |   0
 extensions-builtin/LDSR/sd_hijack_autoencoder.py    |   0
 extensions-builtin/LDSR/sd_hijack_ddpm_v1.py        |   0
 extensions-builtin/LDSR/vqvae_quantize.py           |   0
 extensions-builtin/Lora/extra_networks_lora.py      |   0
 extensions-builtin/Lora/lora.py                     |   0
 extensions-builtin/Lora/lora_logger.py              |   0
 extensions-builtin/Lora/lora_patches.py             |   0
 extensions-builtin/Lora/lyco_helpers.py             |   0
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old mode 100644
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diff --git a/modules/npu_specific.py b/modules/npu_specific.py
old mode 100644
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diff --git a/modules/options.py b/modules/options.py
old mode 100644
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diff --git a/modules/patches.py b/modules/patches.py
old mode 100644
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diff --git a/modules/paths.py b/modules/paths.py
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diff --git a/modules/paths_internal.py b/modules/paths_internal.py
old mode 100644
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diff --git a/modules/postprocessing.py b/modules/postprocessing.py
old mode 100644
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diff --git a/modules/processing.py b/modules/processing.py
old mode 100644
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diff --git a/modules/processing_scripts/comments.py b/modules/processing_scripts/comments.py
old mode 100644
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diff --git a/modules/processing_scripts/refiner.py b/modules/processing_scripts/refiner.py
old mode 100644
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diff --git a/modules/processing_scripts/seed.py b/modules/processing_scripts/seed.py
old mode 100644
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diff --git a/modules/progress.py b/modules/progress.py
old mode 100644
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diff --git a/modules/prompt_parser.py b/modules/prompt_parser.py
old mode 100644
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diff --git a/modules/realesrgan_model.py b/modules/realesrgan_model.py
old mode 100644
new mode 100755
diff --git a/modules/restart.py b/modules/restart.py
old mode 100644
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diff --git a/modules/rng.py b/modules/rng.py
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diff --git a/modules/rng_philox.py b/modules/rng_philox.py
old mode 100644
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diff --git a/modules/safe.py b/modules/safe.py
old mode 100644
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diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
old mode 100644
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diff --git a/modules/script_loading.py b/modules/script_loading.py
old mode 100644
new mode 100755
diff --git a/modules/scripts.py b/modules/scripts.py
old mode 100644
new mode 100755
diff --git a/modules/scripts_auto_postprocessing.py b/modules/scripts_auto_postprocessing.py
old mode 100644
new mode 100755
diff --git a/modules/scripts_postprocessing.py b/modules/scripts_postprocessing.py
old mode 100644
new mode 100755
diff --git a/modules/sd_disable_initialization.py b/modules/sd_disable_initialization.py
old mode 100644
new mode 100755
diff --git a/modules/sd_emphasis.py b/modules/sd_emphasis.py
old mode 100644
new mode 100755
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
old mode 100644
new mode 100755
diff --git a/modules/sd_hijack_checkpoint.py b/modules/sd_hijack_checkpoint.py
old mode 100644
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diff --git a/modules/sd_hijack_clip.py b/modules/sd_hijack_clip.py
old mode 100644
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diff --git a/modules/sd_hijack_clip_old.py b/modules/sd_hijack_clip_old.py
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diff --git a/modules/sd_hijack_ip2p.py b/modules/sd_hijack_ip2p.py
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diff --git a/modules/sd_hijack_open_clip.py b/modules/sd_hijack_open_clip.py
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diff --git a/modules/sd_hijack_optimizations.py b/modules/sd_hijack_optimizations.py
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diff --git a/modules/sd_hijack_unet.py b/modules/sd_hijack_unet.py
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diff --git a/modules/sd_hijack_utils.py b/modules/sd_hijack_utils.py
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diff --git a/modules/sd_hijack_xlmr.py b/modules/sd_hijack_xlmr.py
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diff --git a/modules/sd_models.py b/modules/sd_models.py
old mode 100644
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diff --git a/modules/sd_models_config.py b/modules/sd_models_config.py
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diff --git a/modules/sd_models_types.py b/modules/sd_models_types.py
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diff --git a/modules/sd_models_xl.py b/modules/sd_models_xl.py
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diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
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diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py
old mode 100644
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diff --git a/modules/sd_samplers_common.py b/modules/sd_samplers_common.py
old mode 100644
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diff --git a/modules/sd_samplers_compvis.py b/modules/sd_samplers_compvis.py
old mode 100644
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diff --git a/modules/sd_samplers_extra.py b/modules/sd_samplers_extra.py
old mode 100644
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diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py
old mode 100644
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diff --git a/modules/sd_samplers_lcm.py b/modules/sd_samplers_lcm.py
old mode 100644
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diff --git a/modules/sd_samplers_timesteps.py b/modules/sd_samplers_timesteps.py
old mode 100644
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diff --git a/modules/sd_samplers_timesteps_impl.py b/modules/sd_samplers_timesteps_impl.py
old mode 100644
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diff --git a/modules/sd_unet.py b/modules/sd_unet.py
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diff --git a/modules/sd_vae.py b/modules/sd_vae.py
old mode 100644
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diff --git a/modules/sd_vae_approx.py b/modules/sd_vae_approx.py
old mode 100644
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diff --git a/modules/sd_vae_taesd.py b/modules/sd_vae_taesd.py
old mode 100644
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diff --git a/modules/shared.py b/modules/shared.py
old mode 100644
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diff --git a/modules/shared_cmd_options.py b/modules/shared_cmd_options.py
old mode 100644
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diff --git a/modules/shared_gradio_themes.py b/modules/shared_gradio_themes.py
old mode 100644
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diff --git a/modules/shared_init.py b/modules/shared_init.py
old mode 100644
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diff --git a/modules/shared_items.py b/modules/shared_items.py
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diff --git a/modules/shared_options.py b/modules/shared_options.py
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diff --git a/modules/shared_state.py b/modules/shared_state.py
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diff --git a/modules/shared_total_tqdm.py b/modules/shared_total_tqdm.py
old mode 100644
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diff --git a/modules/styles.py b/modules/styles.py
old mode 100644
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diff --git a/modules/sub_quadratic_attention.py b/modules/sub_quadratic_attention.py
old mode 100644
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diff --git a/modules/sysinfo.py b/modules/sysinfo.py
old mode 100644
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diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
old mode 100644
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diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py
old mode 100644
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diff --git a/modules/textual_inversion/image_embedding.py b/modules/textual_inversion/image_embedding.py
old mode 100644
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diff --git a/modules/textual_inversion/learn_schedule.py b/modules/textual_inversion/learn_schedule.py
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diff --git a/modules/textual_inversion/logging.py b/modules/textual_inversion/logging.py
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diff --git a/modules/textual_inversion/test_embedding.png b/modules/textual_inversion/test_embedding.png
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diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
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diff --git a/modules/textual_inversion/ui.py b/modules/textual_inversion/ui.py
old mode 100644
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diff --git a/modules/timer.py b/modules/timer.py
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diff --git a/modules/torch_utils.py b/modules/torch_utils.py
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diff --git a/modules/txt2img.py b/modules/txt2img.py
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diff --git a/modules/ui.py b/modules/ui.py
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diff --git a/modules/ui_checkpoint_merger.py b/modules/ui_checkpoint_merger.py
old mode 100644
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diff --git a/modules/ui_common.py b/modules/ui_common.py
old mode 100644
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diff --git a/modules/ui_components.py b/modules/ui_components.py
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diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
old mode 100644
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diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py
old mode 100644
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diff --git a/modules/ui_extra_networks_checkpoints.py b/modules/ui_extra_networks_checkpoints.py
old mode 100644
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diff --git a/modules/ui_extra_networks_checkpoints_user_metadata.py b/modules/ui_extra_networks_checkpoints_user_metadata.py
old mode 100644
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diff --git a/modules/ui_extra_networks_hypernets.py b/modules/ui_extra_networks_hypernets.py
old mode 100644
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diff --git a/modules/ui_extra_networks_textual_inversion.py b/modules/ui_extra_networks_textual_inversion.py
old mode 100644
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diff --git a/modules/ui_extra_networks_user_metadata.py b/modules/ui_extra_networks_user_metadata.py
old mode 100644
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diff --git a/modules/ui_gradio_extensions.py b/modules/ui_gradio_extensions.py
old mode 100644
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diff --git a/modules/ui_loadsave.py b/modules/ui_loadsave.py
old mode 100644
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diff --git a/modules/ui_postprocessing.py b/modules/ui_postprocessing.py
old mode 100644
new mode 100755
diff --git a/modules/ui_prompt_styles.py b/modules/ui_prompt_styles.py
old mode 100644
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diff --git a/modules/ui_settings.py b/modules/ui_settings.py
old mode 100644
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diff --git a/modules/ui_tempdir.py b/modules/ui_tempdir.py
old mode 100644
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diff --git a/modules/ui_toprow.py b/modules/ui_toprow.py
old mode 100644
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diff --git a/modules/upscaler.py b/modules/upscaler.py
old mode 100644
new mode 100755
diff --git a/modules/upscaler_utils.py b/modules/upscaler_utils.py
old mode 100644
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diff --git a/modules/util.py b/modules/util.py
old mode 100644
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diff --git a/modules/xlmr.py b/modules/xlmr.py
old mode 100644
new mode 100755
diff --git a/modules/xlmr_m18.py b/modules/xlmr_m18.py
old mode 100644
new mode 100755
diff --git a/modules/xpu_specific.py b/modules/xpu_specific.py
old mode 100644
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diff --git a/package.json b/package.json
old mode 100644
new mode 100755
diff --git a/pyproject.toml b/pyproject.toml
old mode 100644
new mode 100755
diff --git a/requirements-test.txt b/requirements-test.txt
old mode 100644
new mode 100755
diff --git a/requirements.txt b/requirements.txt
old mode 100644
new mode 100755
diff --git a/requirements_npu.txt b/requirements_npu.txt
old mode 100644
new mode 100755
diff --git a/requirements_versions.txt b/requirements_versions.txt
old mode 100644
new mode 100755
diff --git a/script.js b/script.js
old mode 100644
new mode 100755
diff --git a/scripts/custom_code.py b/scripts/custom_code.py
old mode 100644
new mode 100755
diff --git a/scripts/img2imgalt.py b/scripts/img2imgalt.py
old mode 100644
new mode 100755
diff --git a/scripts/loopback.py b/scripts/loopback.py
old mode 100644
new mode 100755
diff --git a/scripts/outpainting_mk_2.py b/scripts/outpainting_mk_2.py
old mode 100644
new mode 100755
diff --git a/scripts/poor_mans_outpainting.py b/scripts/poor_mans_outpainting.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_caption.py b/scripts/postprocessing_caption.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_codeformer.py b/scripts/postprocessing_codeformer.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_create_flipped_copies.py b/scripts/postprocessing_create_flipped_copies.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_focal_crop.py b/scripts/postprocessing_focal_crop.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_gfpgan.py b/scripts/postprocessing_gfpgan.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_split_oversized.py b/scripts/postprocessing_split_oversized.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_upscale.py b/scripts/postprocessing_upscale.py
old mode 100644
new mode 100755
diff --git a/scripts/processing_autosized_crop.py b/scripts/processing_autosized_crop.py
old mode 100644
new mode 100755
diff --git a/scripts/prompt_matrix.py b/scripts/prompt_matrix.py
old mode 100644
new mode 100755
diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
old mode 100644
new mode 100755
diff --git a/scripts/sd_upscale.py b/scripts/sd_upscale.py
old mode 100644
new mode 100755
diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
old mode 100644
new mode 100755
diff --git a/style.css b/style.css
old mode 100644
new mode 100755
diff --git a/test/__init__.py b/test/__init__.py
old mode 100644
new mode 100755
diff --git a/test/conftest.py b/test/conftest.py
old mode 100644
new mode 100755
diff --git a/test/test_extras.py b/test/test_extras.py
old mode 100644
new mode 100755
diff --git a/test/test_face_restorers.py b/test/test_face_restorers.py
old mode 100644
new mode 100755
diff --git a/test/test_files/empty.pt b/test/test_files/empty.pt
old mode 100644
new mode 100755
diff --git a/test/test_files/img2img_basic.png b/test/test_files/img2img_basic.png
old mode 100644
new mode 100755
diff --git a/test/test_files/mask_basic.png b/test/test_files/mask_basic.png
old mode 100644
new mode 100755
diff --git a/test/test_files/two-faces.jpg b/test/test_files/two-faces.jpg
old mode 100644
new mode 100755
diff --git a/test/test_img2img.py b/test/test_img2img.py
old mode 100644
new mode 100755
diff --git a/test/test_outputs/.gitkeep b/test/test_outputs/.gitkeep
old mode 100644
new mode 100755
diff --git a/test/test_torch_utils.py b/test/test_torch_utils.py
old mode 100644
new mode 100755
diff --git a/test/test_txt2img.py b/test/test_txt2img.py
old mode 100644
new mode 100755
diff --git a/test/test_utils.py b/test/test_utils.py
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/hypernetwork.txt b/textual_inversion_templates/hypernetwork.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/none.txt b/textual_inversion_templates/none.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/style.txt b/textual_inversion_templates/style.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/style_filewords.txt b/textual_inversion_templates/style_filewords.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/subject.txt b/textual_inversion_templates/subject.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/subject_filewords.txt b/textual_inversion_templates/subject_filewords.txt
old mode 100644
new mode 100755
diff --git a/webui-macos-env.sh b/webui-macos-env.sh
old mode 100644
new mode 100755
diff --git a/webui-user.bat b/webui-user.bat
old mode 100644
new mode 100755
diff --git a/webui-user.sh b/webui-user.sh
old mode 100644
new mode 100755
diff --git a/webui.bat b/webui.bat
old mode 100644
new mode 100755
diff --git a/webui.py b/webui.py
old mode 100644
new mode 100755

From dd08b9bdbfd502648c1a9d86d3c0f30b7077fb35 Mon Sep 17 00:00:00 2001
From: evan <evan@shortbread.ai>
Date: Tue, 19 Mar 2024 22:24:05 +0000
Subject: [PATCH 003/125] f

---
 webui-user.sh | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/webui-user.sh b/webui-user.sh
index 6d4230ad363..80f7d2479f1 100755
--- a/webui-user.sh
+++ b/webui-user.sh
@@ -10,16 +10,16 @@
 #clone_dir="stable-diffusion-webui"
 
 # Commandline arguments for webui.py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention"
-export COMMANDLINE_ARGS="--listen --no-gradio-queue --no-half-vae --reinstall-torch --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
+export COMMANDLINE_ARGS="--listen --no-gradio-queue --no-half-vae --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
 
 # python3 executable
-python_cmd="/home/evanhu/.pyenv/versions/3.10.13/envs/venv/bin/python3.10"
+python_cmd="/home/evanhu/.pyenv/versions/3.10.13/bin/python3.10"
 
 # git executable
 #export GIT="git"
 
 # python3 venv without trailing slash (defaults to ${install_dir}/${clone_dir}/venv)
-venv_dir="/home/evanhu/.pyenv/versions/3.10.13/envs/venv"
+# venv_dir="/home/evanhu/.pyenv/versions/3.10.13/envs/venv"
 
 # script to launch to start the app
 #export LAUNCH_SCRIPT="launch.py"

From f12f962bc29bdb58ade5f8e3f5df22bdd9c9c1fc Mon Sep 17 00:00:00 2001
From: Evan <evan@shortbread.ai>
Date: Fri, 29 Mar 2024 19:47:17 +0000
Subject: [PATCH 004/125] ignore

---
 .gitignore | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/.gitignore b/.gitignore
index 6790e9ee728..b732b1205c1 100755
--- a/.gitignore
+++ b/.gitignore
@@ -11,17 +11,13 @@ __pycache__
 /models/**/*
 /GFPGANv1.3.pth
 /gfpgan/weights/*.pth
-/ui-config.json
 /outputs
-/config.json
 /log
 /webui.settings.bat
 /embeddings
 /styles.csv
 /params.txt
 /styles.csv.bak
-/webui-user.bat
-/webui-user.sh
 /interrogate
 /user.css
 /.idea
@@ -29,12 +25,11 @@ notification.mp3
 /SwinIR
 /textual_inversion
 .vscode
-/extensions
 /test/stdout.txt
 /test/stderr.txt
 /cache.json*
-/config_states/
 /node_modules
 /package-lock.json
 /.coverage*
 /test/test_outputs
+extensions/

From b2d292495c0b21cfa7d69ac9f2be03cf53767432 Mon Sep 17 00:00:00 2001
From: Evan <evan@shortbread.ai>
Date: Fri, 29 Mar 2024 19:47:28 +0000
Subject: [PATCH 005/125] files

---
 config.json                                   |  471 +++
 ...23_09_25-03_31_40_Backup (pre-update).json |  144 +
 ...23_12_06-02_32_45_Backup (pre-update).json |  232 ++
 ...24_03_18-18_29_44_Backup (pre-update).json |  265 ++
 ui-config.json                                | 2767 +++++++++++++++++
 5 files changed, 3879 insertions(+)
 create mode 100755 config.json
 create mode 100755 config_states/2023_09_25-03_31_40_Backup (pre-update).json
 create mode 100755 config_states/2023_12_06-02_32_45_Backup (pre-update).json
 create mode 100644 config_states/2024_03_18-18_29_44_Backup (pre-update).json
 create mode 100755 ui-config.json

diff --git a/config.json b/config.json
new file mode 100755
index 00000000000..5a09d9757b2
--- /dev/null
+++ b/config.json
@@ -0,0 +1,471 @@
+{
+    "samples_save": false,
+    "samples_format": "png",
+    "samples_filename_pattern": "",
+    "save_images_add_number": true,
+    "grid_save": false,
+    "grid_format": "png",
+    "grid_extended_filename": false,
+    "grid_only_if_multiple": true,
+    "grid_prevent_empty_spots": false,
+    "grid_zip_filename_pattern": "",
+    "n_rows": -1,
+    "enable_pnginfo": true,
+    "save_txt": false,
+    "save_images_before_face_restoration": false,
+    "save_images_before_highres_fix": false,
+    "save_images_before_color_correction": false,
+    "save_mask": false,
+    "save_mask_composite": false,
+    "jpeg_quality": 80,
+    "webp_lossless": false,
+    "export_for_4chan": true,
+    "img_downscale_threshold": 20.0,
+    "target_side_length": 4000,
+    "img_max_size_mp": 200,
+    "use_original_name_batch": true,
+    "use_upscaler_name_as_suffix": false,
+    "save_selected_only": true,
+    "save_init_img": false,
+    "temp_dir": "",
+    "clean_temp_dir_at_start": false,
+    "outdir_samples": "",
+    "outdir_txt2img_samples": "outputs/txt2img-images",
+    "outdir_img2img_samples": "outputs/img2img-images",
+    "outdir_extras_samples": "outputs/extras-images",
+    "outdir_grids": "",
+    "outdir_txt2img_grids": "outputs/txt2img-grids",
+    "outdir_img2img_grids": "outputs/img2img-grids",
+    "outdir_save": "log/images",
+    "outdir_init_images": "outputs/init-images",
+    "save_to_dirs": true,
+    "grid_save_to_dirs": true,
+    "use_save_to_dirs_for_ui": false,
+    "directories_filename_pattern": "[date]",
+    "directories_max_prompt_words": 8,
+    "ESRGAN_tile": 192,
+    "ESRGAN_tile_overlap": 8,
+    "realesrgan_enabled_models": [
+        "R-ESRGAN 4x+",
+        "R-ESRGAN 4x+ Anime6B"
+    ],
+    "upscaler_for_img2img": null,
+    "face_restoration_model": "CodeFormer",
+    "code_former_weight": 0.5,
+    "face_restoration_unload": false,
+    "show_warnings": false,
+    "memmon_poll_rate": 8,
+    "samples_log_stdout": false,
+    "multiple_tqdm": true,
+    "print_hypernet_extra": false,
+    "list_hidden_files": false,
+    "unload_models_when_training": false,
+    "pin_memory": false,
+    "save_optimizer_state": false,
+    "save_training_settings_to_txt": true,
+    "dataset_filename_word_regex": "",
+    "dataset_filename_join_string": " ",
+    "training_image_repeats_per_epoch": 1,
+    "training_write_csv_every": 500,
+    "training_xattention_optimizations": false,
+    "training_enable_tensorboard": false,
+    "training_tensorboard_save_images": false,
+    "training_tensorboard_flush_every": 120,
+    "sd_model_checkpoint": "Counterfeit-V3.0_fp32.safetensors [17277fbe68]",
+    "sd_checkpoint_cache": 0,
+    "sd_vae_checkpoint_cache": 0,
+    "sd_vae": "Anything-V3.0.vae.pt",
+    "sd_vae_as_default": true,
+    "sd_unet": "Automatic",
+    "inpainting_mask_weight": 1.0,
+    "initial_noise_multiplier": 1.0,
+    "img2img_color_correction": false,
+    "img2img_fix_steps": false,
+    "img2img_background_color": "#ffffff",
+    "enable_quantization": false,
+    "enable_emphasis": true,
+    "enable_batch_seeds": true,
+    "comma_padding_backtrack": 20,
+    "CLIP_stop_at_last_layers": 1,
+    "upcast_attn": false,
+    "randn_source": "GPU",
+    "cross_attention_optimization": "Automatic",
+    "s_min_uncond": 1.2,
+    "token_merging_ratio": 0.1,
+    "token_merging_ratio_img2img": 0.1,
+    "token_merging_ratio_hr": 0.0,
+    "pad_cond_uncond": false,
+    "experimental_persistent_cond_cache": false,
+    "use_old_emphasis_implementation": false,
+    "use_old_karras_scheduler_sigmas": false,
+    "no_dpmpp_sde_batch_determinism": false,
+    "use_old_hires_fix_width_height": false,
+    "dont_fix_second_order_samplers_schedule": false,
+    "hires_fix_use_firstpass_conds": false,
+    "interrogate_keep_models_in_memory": false,
+    "interrogate_return_ranks": false,
+    "interrogate_clip_num_beams": 1,
+    "interrogate_clip_min_length": 24,
+    "interrogate_clip_max_length": 48,
+    "interrogate_clip_dict_limit": 1500,
+    "interrogate_clip_skip_categories": [],
+    "interrogate_deepbooru_score_threshold": 0.5,
+    "deepbooru_sort_alpha": true,
+    "deepbooru_use_spaces": true,
+    "deepbooru_escape": true,
+    "deepbooru_filter_tags": "",
+    "extra_networks_show_hidden_directories": true,
+    "extra_networks_hidden_models": "When searched",
+    "extra_networks_default_view": "cards",
+    "extra_networks_default_multiplier": 1.0,
+    "extra_networks_card_width": 0,
+    "extra_networks_card_height": 0,
+    "extra_networks_add_text_separator": " ",
+    "ui_extra_networks_tab_reorder": "",
+    "sd_hypernetwork": "None",
+    "localization": "None",
+    "gradio_theme": "Default",
+    "img2img_editor_height": 720,
+    "return_grid": true,
+    "return_mask": false,
+    "return_mask_composite": false,
+    "do_not_show_images": false,
+    "send_seed": true,
+    "send_size": true,
+    "font": "",
+    "js_modal_lightbox": true,
+    "js_modal_lightbox_initially_zoomed": true,
+    "js_modal_lightbox_gamepad": false,
+    "js_modal_lightbox_gamepad_repeat": 250,
+    "show_progress_in_title": true,
+    "samplers_in_dropdown": true,
+    "dimensions_and_batch_together": true,
+    "keyedit_precision_attention": 0.1,
+    "keyedit_precision_extra": 0.05,
+    "keyedit_delimiters": ".,\\/!?%^*;:{}=`~()",
+    "quicksettings_list": [
+        "sd_model_checkpoint",
+        "sd_vae"
+    ],
+    "ui_tab_order": [],
+    "hidden_tabs": [],
+    "ui_reorder_list": [],
+    "hires_fix_show_sampler": false,
+    "hires_fix_show_prompts": false,
+    "disable_token_counters": false,
+    "add_model_hash_to_info": true,
+    "add_model_name_to_info": true,
+    "add_version_to_infotext": true,
+    "disable_weights_auto_swap": true,
+    "infotext_styles": "Apply if any",
+    "show_progressbar": true,
+    "live_previews_enable": true,
+    "live_previews_image_format": "png",
+    "show_progress_grid": true,
+    "show_progress_every_n_steps": 10,
+    "show_progress_type": "Approx NN",
+    "live_preview_content": "Prompt",
+    "live_preview_refresh_period": 1000,
+    "hide_samplers": [],
+    "eta_ddim": 0.0,
+    "eta_ancestral": 1.0,
+    "ddim_discretize": "uniform",
+    "s_churn": 0.0,
+    "s_tmin": 0.0,
+    "s_noise": 1.0,
+    "k_sched_type": "Automatic",
+    "sigma_min": 0.0,
+    "sigma_max": 0.0,
+    "rho": 0.0,
+    "eta_noise_seed_delta": 0,
+    "always_discard_next_to_last_sigma": false,
+    "uni_pc_variant": "bh1",
+    "uni_pc_skip_type": "time_uniform",
+    "uni_pc_order": 3,
+    "uni_pc_lower_order_final": true,
+    "postprocessing_enable_in_main_ui": [],
+    "postprocessing_operation_order": [],
+    "upscaling_max_images_in_cache": 5,
+    "disabled_extensions": [
+        "sd-webui-loractl",
+        "stable-diffusion-webui-two-shot"
+    ],
+    "disable_all_extensions": "none",
+    "restore_config_state_file": "",
+    "sd_checkpoint_hash": "17277fbe68541b183f48855f7998e72068e96dca55c102013a8cefed92aaaaa3",
+    "ldsr_steps": 100,
+    "ldsr_cached": false,
+    "SCUNET_tile": 256,
+    "SCUNET_tile_overlap": 8,
+    "SWIN_tile": 192,
+    "SWIN_tile_overlap": 8,
+    "lora_functional": false,
+    "sd_lora": "None",
+    "lora_preferred_name": "Alias from file",
+    "lora_add_hashes_to_infotext": true,
+    "extra_options": [],
+    "extra_options_accordion": false,
+    "canvas_hotkey_zoom": "Alt",
+    "canvas_hotkey_adjust": "Ctrl",
+    "canvas_hotkey_move": "F",
+    "canvas_hotkey_fullscreen": "S",
+    "canvas_hotkey_reset": "R",
+    "canvas_hotkey_overlap": "O",
+    "canvas_show_tooltip": true,
+    "canvas_disabled_functions": [
+        "Overlap"
+    ],
+    "control_net_model_config": "models/cldm_v15.yaml",
+    "control_net_model_adapter_config": "models/t2iadapter_sketch_sd14v1.yaml",
+    "control_net_detectedmap_dir": "detected_maps",
+    "control_net_models_path": "",
+    "control_net_modules_path": "",
+    "control_net_max_models_num": 3,
+    "control_net_model_cache_size": 1,
+    "control_net_no_detectmap": false,
+    "control_net_detectmap_autosaving": false,
+    "control_net_allow_script_control": false,
+    "control_net_sync_field_args": false,
+    "controlnet_show_batch_images_in_ui": false,
+    "controlnet_increment_seed_during_batch": false,
+    "controlnet_disable_control_type": false,
+    "controlnet_disable_openpose_edit": false,
+    "sd_vae_overrides_per_model_preferences": false,
+    "SWIN_torch_compile": false,
+    "hypertile_enable_unet": false,
+    "hypertile_enable_unet_secondpass": false,
+    "hypertile_max_depth_unet": 3,
+    "hypertile_max_tile_unet": 256,
+    "hypertile_swap_size_unet": 3,
+    "hypertile_enable_vae": false,
+    "hypertile_max_depth_vae": 3,
+    "hypertile_max_tile_vae": 128,
+    "hypertile_swap_size_vae": 3,
+    "control_net_unit_count": 3,
+    "control_net_inpaint_blur_sigma": 7,
+    "control_net_no_high_res_fix": false,
+    "controlnet_ignore_noninpaint_mask": false,
+    "use_aria2": true,
+    "disable_dns": false,
+    "show_log": false,
+    "split_aria2": 64,
+    "aria2_flags": "",
+    "insert_sub": true,
+    "dot_subfolders": true,
+    "use_LORA": false,
+    "unpack_zip": false,
+    "hide_early_access": true,
+    "custom_api_key": "",
+    "page_header": false,
+    "update_log": true,
+    "image_location": "",
+    "Checkpoint_subfolder": "None",
+    "LORA_subfolder": "None",
+    "LoCon_subfolder": "None",
+    "TextualInversion_subfolder": "None",
+    "Poses_subfolder": "None",
+    "Controlnet_subfolder": "None",
+    "Hypernetwork_subfolder": "None",
+    "MotionModule_subfolder": "None",
+    "SWINIR_upscale_subfolder": "None",
+    "REALESRGAN_upscale_subfolder": "None",
+    "GFPGAN_upscale_subfolder": "None",
+    "BSRGAN_upscale_subfolder": "None",
+    "ESRGAN_upscale_subfolder": "None",
+    "VAE_subfolder": "None",
+    "AestheticGradient_subfolder": "None",
+    "Wildcards_subfolder": "None",
+    "Workflows_subfolder": "None",
+    "Other_subfolder": "None",
+    "civitai_link_key": "",
+    "civitai_link_logging": true,
+    "civitai_api_key": "",
+    "civitai_download_previews": true,
+    "civitai_download_triggers": true,
+    "civitai_nsfw_previews": false,
+    "civitai_download_missing_models": true,
+    "civitai_hashify_resources": true,
+    "civitai_folder_model": "",
+    "civitai_folder_lora": "",
+    "civitai_folder_lyco": "",
+    "save_images_replace_action": "Replace",
+    "grid_text_active_color": "#000000",
+    "grid_text_inactive_color": "#999999",
+    "grid_background_color": "#ffffff",
+    "save_incomplete_images": false,
+    "notification_audio": true,
+    "notification_volume": 100,
+    "use_old_scheduling": false,
+    "extra_networks_dir_button_function": false,
+    "extra_networks_card_text_scale": 1,
+    "extra_networks_card_show_desc": true,
+    "extra_networks_card_order_field": "Path",
+    "extra_networks_card_order": "Ascending",
+    "textual_inversion_print_at_load": false,
+    "textual_inversion_add_hashes_to_infotext": true,
+    "lora_show_all": false,
+    "lora_hide_unknown_for_versions": [],
+    "lora_in_memory_limit": 0,
+    "persistent_cond_cache": true,
+    "batch_cond_uncond": true,
+    "s_tmax": 0,
+    "sgm_noise_multiplier": false,
+    "sd_checkpoints_limit": 1,
+    "sd_checkpoints_keep_in_cpu": true,
+    "tiling": false,
+    "hires_fix_refiner_pass": "second pass",
+    "sdxl_crop_top": 0.0,
+    "sdxl_crop_left": 0.0,
+    "sdxl_refiner_low_aesthetic_score": 2.5,
+    "sdxl_refiner_high_aesthetic_score": 6.0,
+    "auto_vae_precision": true,
+    "sd_vae_encode_method": "Full",
+    "sd_vae_decode_method": "Full",
+    "img2img_extra_noise": 0,
+    "img2img_sketch_default_brush_color": "#ffffff",
+    "img2img_inpaint_mask_brush_color": "#ffffff",
+    "img2img_inpaint_sketch_default_brush_color": "#ffffff",
+    "img2img_batch_show_results_limit": 32,
+    "gallery_height": "",
+    "add_vae_name_to_info": true,
+    "add_vae_hash_to_info": true,
+    "add_user_name_to_info": false,
+    "infotext_skip_pasting": [],
+    "live_preview_allow_lowvram_full": false,
+    "live_preview_fast_interrupt": false,
+    "keyedit_delimiters_whitespace": [
+        "Tab",
+        "Carriage Return",
+        "Line Feed"
+    ],
+    "extra_options_txt2img": [],
+    "extra_options_img2img": [],
+    "extra_options_cols": 1,
+    "compact_prompt_box": false,
+    "sd_checkpoint_dropdown_use_short": false,
+    "txt2img_settings_accordion": false,
+    "img2img_settings_accordion": false,
+    "gradio_themes_cache": true,
+    "api_enable_requests": true,
+    "api_forbid_local_requests": true,
+    "api_useragent": "",
+    "auto_launch_browser": "Local",
+    "enable_console_prompts": false,
+    "show_gradio_deprecation_warnings": true,
+    "disable_mmap_load_safetensors": false,
+    "hide_ldm_prints": true,
+    "dump_stacks_on_signal": false,
+    "face_restoration": false,
+    "postprocessing_existing_caption_action": "Ignore",
+    "canvas_auto_expand": true,
+    "canvas_blur_prompt": false,
+    "animatediff_model_path": "",
+    "animatediff_default_save_formats": [
+        "GIF",
+        "PNG"
+    ],
+    "animatediff_save_to_custom": true,
+    "animatediff_frame_extract_path": "",
+    "animatediff_frame_extract_remove": false,
+    "animatediff_default_frame_extract_method": "ffmpeg",
+    "animatediff_optimize_gif_palette": false,
+    "animatediff_optimize_gif_gifsicle": false,
+    "animatediff_mp4_crf": 23,
+    "animatediff_mp4_preset": "",
+    "animatediff_mp4_tune": "",
+    "animatediff_webp_quality": 80,
+    "animatediff_webp_lossless": false,
+    "animatediff_s3_enable": false,
+    "animatediff_s3_host": "",
+    "animatediff_s3_port": "",
+    "animatediff_s3_access_key": "",
+    "animatediff_s3_secret_key": "",
+    "animatediff_s3_storge_bucket": "",
+    "auto_backcompat": true,
+    "use_downcasted_alpha_bar": false,
+    "extra_networks_card_description_is_html": false,
+    "extra_networks_tree_view_default_enabled": false,
+    "lora_not_found_warning_console": false,
+    "lora_not_found_gradio_warning": false,
+    "pad_cond_uncond_v0": false,
+    "fp8_storage": "Disable",
+    "cache_fp16_weight": true,
+    "sd_noise_schedule": "Default",
+    "emphasis": "Original",
+    "enable_prompt_comments": true,
+    "auto_vae_precision_bfloat16": false,
+    "overlay_inpaint": true,
+    "sd_webui_modal_lightbox_icon_opacity": 1,
+    "sd_webui_modal_lightbox_toolbar_opacity": 0.9,
+    "open_dir_button_choice": "Subdirectory",
+    "js_live_preview_in_modal_lightbox": false,
+    "keyedit_move": true,
+    "include_styles_into_token_counters": true,
+    "interrupt_after_current": true,
+    "enable_upscale_progressbar": true,
+    "dat_enabled_models": [
+        "DAT x2",
+        "DAT x3",
+        "DAT x4"
+    ],
+    "DAT_tile": 192,
+    "DAT_tile_overlap": 8,
+    "canvas_hotkey_shrink_brush": "Q",
+    "canvas_hotkey_grow_brush": "W",
+    "image_browser_active_tabs": "txt2img, img2img, txt2img-grids, img2img-grids, Extras, Favorites, Others, All, Maintenance",
+    "image_browser_hidden_components": [],
+    "image_browser_with_subdirs": true,
+    "image_browser_preload": false,
+    "image_browser_copy_image": false,
+    "image_browser_delete_message": true,
+    "image_browser_txt_files": true,
+    "image_browser_debug_level": "0 - none",
+    "image_browser_delete_recycle": true,
+    "image_browser_scan_exif": true,
+    "image_browser_mod_shift": false,
+    "image_browser_mod_ctrl_shift": false,
+    "image_browser_ranking_pnginfo": false,
+    "image_browser_page_columns": 6,
+    "image_browser_page_rows": 6,
+    "image_browser_pages_perload": 20,
+    "image_browser_height_auto": false,
+    "image_browser_use_thumbnail": false,
+    "image_browser_thumbnail_size": 200,
+    "image_browser_thumbnail_crop": false,
+    "image_browser_swipe": false,
+    "image_browser_img_tooltips": true,
+    "image_browser_show_progress": true,
+    "image_browser_info_add": false,
+    "image_browser_video_pos": "Above",
+    "image_browser_video_x": 640,
+    "image_browser_video_y": 640,
+    "save_api_info": false,
+    "auto_save_all_img": false,
+    "use_local_html": false,
+    "local_path_in_html": false,
+    "video_playback": true,
+    "individual_meta_btn": true,
+    "model_desc_to_json": true,
+    "sub_image_location": true,
+    "save_to_custom": false,
+    "custom_civitai_proxy": "",
+    "cabundle_path_proxy": "",
+    "disable_sll_proxy": false,
+    "insert_sub_1": false,
+    "insert_sub_2": false,
+    "insert_sub_3": false,
+    "insert_sub_4": false,
+    "insert_sub_5": false,
+    "insert_sub_6": false,
+    "insert_sub_7": false,
+    "insert_sub_8": false,
+    "insert_sub_9": false,
+    "insert_sub_10": false,
+    "insert_sub_11": false,
+    "insert_sub_12": false,
+    "insert_sub_13": false,
+    "insert_sub_14": false,
+    "controlnet_disable_photopea_edit": false,
+    "controlnet_photopea_warning": true,
+    "controlnet_clip_detector_on_cpu": false
+}
\ No newline at end of file
diff --git a/config_states/2023_09_25-03_31_40_Backup (pre-update).json b/config_states/2023_09_25-03_31_40_Backup (pre-update).json
new file mode 100755
index 00000000000..d8738e1dd3e
--- /dev/null
+++ b/config_states/2023_09_25-03_31_40_Backup (pre-update).json	
@@ -0,0 +1,144 @@
+{
+    "created_at": 1695612700.693513,
+    "webui": {
+        "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui.git",
+        "commit_hash": "5ef669de080814067961f28357256e8fe27544f4",
+        "commit_date": 1693456714,
+        "branch": "master"
+    },
+    "extensions": {
+        "multidiffusion-upscaler-for-automatic1111": {
+            "name": "multidiffusion-upscaler-for-automatic1111",
+            "path": "/home/np/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111",
+            "commit_hash": "f9f8073e64f4e682838f255215039ba7884553bf",
+            "commit_date": 1690008791,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "sd-webui-controlnet": {
+            "name": "sd-webui-controlnet",
+            "path": "/home/np/stable-diffusion-webui/extensions/sd-webui-controlnet",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git",
+            "commit_hash": "07bed6ccf8a468a45b2833cfdadc749927cbd575",
+            "commit_date": 1688849641,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "stable-diffusion-webui-rembg": {
+            "name": "stable-diffusion-webui-rembg",
+            "path": "/home/np/stable-diffusion-webui/extensions/stable-diffusion-webui-rembg",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",
+            "commit_hash": "3d9eedbbf0d585207f97d5b21e42f32c0042df70",
+            "commit_date": 1685885724,
+            "branch": "master",
+            "have_info_from_repo": false
+        },
+        "stable-diffusion-webui-two-shot": {
+            "name": "stable-diffusion-webui-two-shot",
+            "path": "/home/np/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/ashen-sensored/stable-diffusion-webui-two-shot.git",
+            "commit_hash": "6b55dd5248fd07f55ffefbf9be369b439b239502",
+            "commit_date": 1680434665,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "LDSR": {
+            "name": "LDSR",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/LDSR",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "Lora": {
+            "name": "Lora",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/Lora",
+            "enabled": false,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "ScuNET": {
+            "name": "ScuNET",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/ScuNET",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "SwinIR": {
+            "name": "SwinIR",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/SwinIR",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "canvas-zoom-and-pan": {
+            "name": "canvas-zoom-and-pan",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/canvas-zoom-and-pan",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "extra-options-section": {
+            "name": "extra-options-section",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/extra-options-section",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "mobile": {
+            "name": "mobile",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/mobile",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "prompt-bracket-checker": {
+            "name": "prompt-bracket-checker",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/prompt-bracket-checker",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        }
+    },
+    "name": "Backup (pre-update)"
+}
\ No newline at end of file
diff --git a/config_states/2023_12_06-02_32_45_Backup (pre-update).json b/config_states/2023_12_06-02_32_45_Backup (pre-update).json
new file mode 100755
index 00000000000..b5f37a18e43
--- /dev/null
+++ b/config_states/2023_12_06-02_32_45_Backup (pre-update).json	
@@ -0,0 +1,232 @@
+{
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+    "webui": {
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+        "commit_hash": "5ef669de080814067961f28357256e8fe27544f4",
+        "commit_date": 1693456714,
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+            "name": "aaaaa2",
+            "path": "/home/np/stable-diffusion-webui/extensions/aaaaa2",
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+            "is_builtin": false,
+            "remote": "https://github.com/anyoneknowsyou/aaaaa2",
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+        },
+        "multi-subject-render": {
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+            "remote": "https://github.com/Extraltodeus/multi-subject-render.git",
+            "commit_hash": "03427e26bebdc6da0ccfb749bf3c4e7e33d7458b",
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+        },
+        "multidiffusion-upscaler-for-automatic1111": {
+            "name": "multidiffusion-upscaler-for-automatic1111",
+            "path": "/home/np/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111",
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+            "commit_date": 1690008791,
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+        },
+        "sd-civitai-browser-plus": {
+            "name": "sd-civitai-browser-plus",
+            "path": "/home/np/stable-diffusion-webui/extensions/sd-civitai-browser-plus",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/BlafKing/sd-civitai-browser-plus.git",
+            "commit_hash": "fecf7900ab7fddc4da5578f1e0e8eb2db5271b94",
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+        },
+        "sd-webui-controlnet": {
+            "name": "sd-webui-controlnet",
+            "path": "/home/np/stable-diffusion-webui/extensions/sd-webui-controlnet",
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+            "path": "/home/np/stable-diffusion-webui/extensions/sd-webui-infinite-image-browsing",
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+            "is_builtin": false,
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+        },
+        "sd-webui-loractl": {
+            "name": "sd-webui-loractl",
+            "path": "/home/np/stable-diffusion-webui/extensions/sd-webui-loractl",
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+            "is_builtin": false,
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+            "name": "sd_civitai_extension",
+            "path": "/home/np/stable-diffusion-webui/extensions/sd_civitai_extension",
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+            "is_builtin": false,
+            "remote": "https://github.com/civitai/sd_civitai_extension.git",
+            "commit_hash": "136983e89859fd0477b4a437ed333142a6aa29a4",
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+            "branch": "main",
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+            "name": "sd_dreambooth_extension",
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+            "is_builtin": false,
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+            "name": "stable-diffusion-webui-rembg",
+            "path": "/home/np/stable-diffusion-webui/extensions/stable-diffusion-webui-rembg",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",
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+            "branch": "master",
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+        },
+        "stable-diffusion-webui-two-shot": {
+            "name": "stable-diffusion-webui-two-shot",
+            "path": "/home/np/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/ashen-sensored/stable-diffusion-webui-two-shot.git",
+            "commit_hash": "6b55dd5248fd07f55ffefbf9be369b439b239502",
+            "commit_date": 1680434665,
+            "branch": "main",
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+        },
+        "LDSR": {
+            "name": "LDSR",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/LDSR",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "Lora": {
+            "name": "Lora",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/Lora",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "ScuNET": {
+            "name": "ScuNET",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/ScuNET",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "SwinIR": {
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+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/SwinIR",
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+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
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+        "canvas-zoom-and-pan": {
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+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/canvas-zoom-and-pan",
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+            "is_builtin": true,
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+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "extra-options-section": {
+            "name": "extra-options-section",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/extra-options-section",
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+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "hypertile": {
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+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/hypertile",
+            "enabled": true,
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+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
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+        "mobile": {
+            "name": "mobile",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/mobile",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "prompt-bracket-checker": {
+            "name": "prompt-bracket-checker",
+            "path": "/home/np/stable-diffusion-webui/extensions-builtin/prompt-bracket-checker",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        }
+    },
+    "name": "Backup (pre-update)"
+}
\ No newline at end of file
diff --git a/config_states/2024_03_18-18_29_44_Backup (pre-update).json b/config_states/2024_03_18-18_29_44_Backup (pre-update).json
new file mode 100644
index 00000000000..4eb0ed0112d
--- /dev/null
+++ b/config_states/2024_03_18-18_29_44_Backup (pre-update).json	
@@ -0,0 +1,265 @@
+{
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+    "webui": {
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+        "commit_hash": "bef51aed032c0aaa5cfd80445bc4cf0d85b408b5",
+        "commit_date": 1709352193,
+        "branch": "master"
+    },
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+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "Lora": {
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+            "path": "/home/stable-diffusion-webui/extensions-builtin/Lora",
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+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "ScuNET": {
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+            "path": "/home/stable-diffusion-webui/extensions-builtin/ScuNET",
+            "enabled": true,
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+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
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+            "path": "/home/stable-diffusion-webui/extensions-builtin/SwinIR",
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+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
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+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
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+        "extra-options-section": {
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+            "path": "/home/stable-diffusion-webui/extensions-builtin/extra-options-section",
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+            "remote": null,
+            "commit_hash": "",
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+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
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+        "mobile": {
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+            "path": "/home/stable-diffusion-webui/extensions-builtin/mobile",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
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+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "soft-inpainting": {
+            "name": "soft-inpainting",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/soft-inpainting",
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+            "path": "/home/stable-diffusion-webui/extensions/multi-subject-render",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/Extraltodeus/multi-subject-render.git",
+            "commit_hash": "03427e26bebdc6da0ccfb749bf3c4e7e33d7458b",
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+            "branch": "main",
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+        },
+        "multidiffusion-upscaler-for-automatic1111": {
+            "name": "multidiffusion-upscaler-for-automatic1111",
+            "path": "/home/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111",
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+        },
+        "sd-civitai-browser-plus": {
+            "name": "sd-civitai-browser-plus",
+            "path": "/home/stable-diffusion-webui/extensions/sd-civitai-browser-plus",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/BlafKing/sd-civitai-browser-plus.git",
+            "commit_hash": "c0a82f76d15422804d32eee61b9514821890aed6",
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+            "branch": "main",
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+        },
+        "sd-webui-animatediff": {
+            "name": "sd-webui-animatediff",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-animatediff",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/continue-revolution/sd-webui-animatediff.git",
+            "commit_hash": "bf9212312504189ace1e17a2c973022933abe93d",
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+            "branch": "master",
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+        },
+        "sd-webui-controlnet": {
+            "name": "sd-webui-controlnet",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-controlnet",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git",
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+        },
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+            "name": "sd-webui-infinite-image-browsing",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-infinite-image-browsing",
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+        },
+        "sd-webui-loractl": {
+            "name": "sd-webui-loractl",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-loractl",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/cheald/sd-webui-loractl.git",
+            "commit_hash": "b48cf602b0c414a362726fa079a284f3ae6a51e2",
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+            "branch": "master",
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+        },
+        "sd_civitai_extension": {
+            "name": "sd_civitai_extension",
+            "path": "/home/stable-diffusion-webui/extensions/sd_civitai_extension",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/civitai/sd_civitai_extension.git",
+            "commit_hash": "136983e89859fd0477b4a437ed333142a6aa29a4",
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+            "branch": "main",
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+        },
+        "sd_dreambooth_extension": {
+            "name": "sd_dreambooth_extension",
+            "path": "/home/stable-diffusion-webui/extensions/sd_dreambooth_extension",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/d8ahazard/sd_dreambooth_extension.git",
+            "commit_hash": "c548ede6a3acb85d78650ff50ae583786b305f0e",
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+            "branch": "main",
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+        },
+        "stable-diffusion-webui-images-browser": {
+            "name": "stable-diffusion-webui-images-browser",
+            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-images-browser",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/AlUlkesh/stable-diffusion-webui-images-browser.git",
+            "commit_hash": "3d2d0f4c7b0599f88df99a9ea66c21bcbec49bda",
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+        },
+        "stable-diffusion-webui-rembg": {
+            "name": "stable-diffusion-webui-rembg",
+            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-rembg",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",
+            "commit_hash": "3d9eedbbf0d585207f97d5b21e42f32c0042df70",
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+            "branch": "master",
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+        },
+        "stable-diffusion-webui-two-shot": {
+            "name": "stable-diffusion-webui-two-shot",
+            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/ashen-sensored/stable-diffusion-webui-two-shot.git",
+            "commit_hash": "6b55dd5248fd07f55ffefbf9be369b439b239502",
+            "commit_date": 1680434665,
+            "branch": "main",
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+        },
+        "zulu571": {
+            "name": "zulu571",
+            "path": "/home/stable-diffusion-webui/extensions/zulu571",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "http://47.93.16.222:3000/Iyashinouta/sd-colab-commands-browser",
+            "commit_hash": "dcd26f39829bda68459b73bd21acc090734ffa29",
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+            "branch": "main",
+            "have_info_from_repo": false
+        }
+    },
+    "name": "Backup (pre-update)"
+}
\ No newline at end of file
diff --git a/ui-config.json b/ui-config.json
new file mode 100755
index 00000000000..189b68180d0
--- /dev/null
+++ b/ui-config.json
@@ -0,0 +1,2767 @@
+{
+    "txt2img/Prompt/visible": true,
+    "txt2img/Prompt/value": "",
+    "txt2img/Negative prompt/visible": true,
+    "txt2img/Negative prompt/value": "",
+    "txt2img/Interrupt/visible": true,
+    "txt2img/Skip/visible": true,
+    "txt2img/Generate/visible": true,
+    "txt2img/↙️/visible": true,
+    "txt2img/🗑️/visible": true,
+    "txt2img/🎴/visible": true,
+    "txt2img/📋/visible": true,
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+    "dreambooth_v2/Sample Prompt/visible": true,
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+    "dreambooth_v2/Swap Batch/step": 1,
+    "dreambooth_v2/Use txt2img/value": false,
+    "dreambooth_v2/Sanity Sample Negative Prompt/visible": true,
+    "dreambooth_v2/Sanity Sample Negative Prompt/value": "",
+    "dreambooth_v2/API Key/visible": true,
+    "dreambooth_v2/API Key/value": "",
+    "dreambooth_v2/🗑/visible": true,
+    "dreambooth_v2/Discord Webhook/visible": true,
+    "dreambooth_v2/Discord Webhook/value": "",
+    "dreambooth_v2/Save and Test Webhook/visible": true,
+    "dreambooth_v2/Update Extension and Restart/visible": true,
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+    "pbremtools/predicted_iou_threshold/visible": true,
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+}
\ No newline at end of file

From 069ab3eeb2798715bf17892a07864d768ec895ac Mon Sep 17 00:00:00 2001
From: evan <evan@shortbread.ai>
Date: Fri, 29 Mar 2024 20:10:57 +0000
Subject: [PATCH 006/125] config

---
 ...23_12_06-02_32_45_Backup (pre-update).json | 232 ---------------
 ...24_03_18-18_29_44_Backup (pre-update).json | 265 ------------------
 ...).json => 2024_03_29-20_10_18_CONFIG.json} | 138 +++++----
 .../2024-03-19/00000-1137209589.png           | Bin 0 -> 332893 bytes
 ui-config.json                                |   6 +-
 5 files changed, 85 insertions(+), 556 deletions(-)
 delete mode 100755 config_states/2023_12_06-02_32_45_Backup (pre-update).json
 delete mode 100644 config_states/2024_03_18-18_29_44_Backup (pre-update).json
 rename config_states/{2023_09_25-03_31_40_Backup (pre-update).json => 2024_03_29-20_10_18_CONFIG.json} (53%)
 mode change 100755 => 100644
 create mode 100755 output/txt2img-images/2024-03-19/00000-1137209589.png

diff --git a/config_states/2023_12_06-02_32_45_Backup (pre-update).json b/config_states/2023_12_06-02_32_45_Backup (pre-update).json
deleted file mode 100755
index b5f37a18e43..00000000000
--- a/config_states/2023_12_06-02_32_45_Backup (pre-update).json	
+++ /dev/null
@@ -1,232 +0,0 @@
-{
-    "created_at": 1701829965.133431,
-    "webui": {
-        "remote": null,
-        "commit_hash": "5ef669de080814067961f28357256e8fe27544f4",
-        "commit_date": 1693456714,
-        "branch": null
-    },
-    "extensions": {
-        "aaaaa2": {
-            "name": "aaaaa2",
-            "path": "/home/np/stable-diffusion-webui/extensions/aaaaa2",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/anyoneknowsyou/aaaaa2",
-            "commit_hash": "2a000f20773070493877802ebf87dfe18610d6c0",
-            "commit_date": 1698317597,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "multi-subject-render": {
-            "name": "multi-subject-render",
-            "path": "/home/np/stable-diffusion-webui/extensions/multi-subject-render",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/Extraltodeus/multi-subject-render.git",
-            "commit_hash": "03427e26bebdc6da0ccfb749bf3c4e7e33d7458b",
-            "commit_date": 1678111890,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "multidiffusion-upscaler-for-automatic1111": {
-            "name": "multidiffusion-upscaler-for-automatic1111",
-            "path": "/home/np/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111",
-            "commit_hash": "f9f8073e64f4e682838f255215039ba7884553bf",
-            "commit_date": 1690008791,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-civitai-browser-plus": {
-            "name": "sd-civitai-browser-plus",
-            "path": "/home/np/stable-diffusion-webui/extensions/sd-civitai-browser-plus",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/BlafKing/sd-civitai-browser-plus.git",
-            "commit_hash": "fecf7900ab7fddc4da5578f1e0e8eb2db5271b94",
-            "commit_date": 1701655035,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-webui-controlnet": {
-            "name": "sd-webui-controlnet",
-            "path": "/home/np/stable-diffusion-webui/extensions/sd-webui-controlnet",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git",
-            "commit_hash": "7a4805c8ea3256a0eab3512280bd4f84ca0c8182",
-            "commit_date": 1695406428,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-webui-infinite-image-browsing": {
-            "name": "sd-webui-infinite-image-browsing",
-            "path": "/home/np/stable-diffusion-webui/extensions/sd-webui-infinite-image-browsing",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/zanllp/sd-webui-infinite-image-browsing.git",
-            "commit_hash": "16696b075e0560758d091a5164d5733a34912f3c",
-            "commit_date": 1701605096,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-webui-loractl": {
-            "name": "sd-webui-loractl",
-            "path": "/home/np/stable-diffusion-webui/extensions/sd-webui-loractl",
-            "enabled": false,
-            "is_builtin": false,
-            "remote": "https://github.com/cheald/sd-webui-loractl.git",
-            "commit_hash": "b48cf602b0c414a362726fa079a284f3ae6a51e2",
-            "commit_date": 1695172598,
-            "branch": "master",
-            "have_info_from_repo": false
-        },
-        "sd_civitai_extension": {
-            "name": "sd_civitai_extension",
-            "path": "/home/np/stable-diffusion-webui/extensions/sd_civitai_extension",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/civitai/sd_civitai_extension.git",
-            "commit_hash": "136983e89859fd0477b4a437ed333142a6aa29a4",
-            "commit_date": 1698727428,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd_dreambooth_extension": {
-            "name": "sd_dreambooth_extension",
-            "path": "/home/np/stable-diffusion-webui/extensions/sd_dreambooth_extension",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/d8ahazard/sd_dreambooth_extension.git",
-            "commit_hash": "c548ede6a3acb85d78650ff50ae583786b305f0e",
-            "commit_date": 1700504411,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "stable-diffusion-webui-rembg": {
-            "name": "stable-diffusion-webui-rembg",
-            "path": "/home/np/stable-diffusion-webui/extensions/stable-diffusion-webui-rembg",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",
-            "commit_hash": "3d9eedbbf0d585207f97d5b21e42f32c0042df70",
-            "commit_date": 1685885724,
-            "branch": "master",
-            "have_info_from_repo": false
-        },
-        "stable-diffusion-webui-two-shot": {
-            "name": "stable-diffusion-webui-two-shot",
-            "path": "/home/np/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot",
-            "enabled": false,
-            "is_builtin": false,
-            "remote": "https://github.com/ashen-sensored/stable-diffusion-webui-two-shot.git",
-            "commit_hash": "6b55dd5248fd07f55ffefbf9be369b439b239502",
-            "commit_date": 1680434665,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "LDSR": {
-            "name": "LDSR",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/LDSR",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "Lora": {
-            "name": "Lora",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/Lora",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "ScuNET": {
-            "name": "ScuNET",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/ScuNET",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "SwinIR": {
-            "name": "SwinIR",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/SwinIR",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "canvas-zoom-and-pan": {
-            "name": "canvas-zoom-and-pan",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/canvas-zoom-and-pan",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "extra-options-section": {
-            "name": "extra-options-section",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/extra-options-section",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "hypertile": {
-            "name": "hypertile",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/hypertile",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "mobile": {
-            "name": "mobile",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/mobile",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "prompt-bracket-checker": {
-            "name": "prompt-bracket-checker",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/prompt-bracket-checker",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        }
-    },
-    "name": "Backup (pre-update)"
-}
\ No newline at end of file
diff --git a/config_states/2024_03_18-18_29_44_Backup (pre-update).json b/config_states/2024_03_18-18_29_44_Backup (pre-update).json
deleted file mode 100644
index 4eb0ed0112d..00000000000
--- a/config_states/2024_03_18-18_29_44_Backup (pre-update).json	
+++ /dev/null
@@ -1,265 +0,0 @@
-{
-    "created_at": 1710786584.788067,
-    "webui": {
-        "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui.git",
-        "commit_hash": "bef51aed032c0aaa5cfd80445bc4cf0d85b408b5",
-        "commit_date": 1709352193,
-        "branch": "master"
-    },
-    "extensions": {
-        "LDSR": {
-            "name": "LDSR",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/LDSR",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "Lora": {
-            "name": "Lora",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/Lora",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "ScuNET": {
-            "name": "ScuNET",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/ScuNET",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "SwinIR": {
-            "name": "SwinIR",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/SwinIR",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "canvas-zoom-and-pan": {
-            "name": "canvas-zoom-and-pan",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/canvas-zoom-and-pan",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "extra-options-section": {
-            "name": "extra-options-section",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/extra-options-section",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "hypertile": {
-            "name": "hypertile",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/hypertile",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "mobile": {
-            "name": "mobile",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/mobile",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "prompt-bracket-checker": {
-            "name": "prompt-bracket-checker",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/prompt-bracket-checker",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "soft-inpainting": {
-            "name": "soft-inpainting",
-            "path": "/home/stable-diffusion-webui/extensions-builtin/soft-inpainting",
-            "enabled": true,
-            "is_builtin": true,
-            "remote": null,
-            "commit_hash": "",
-            "commit_date": null,
-            "branch": null,
-            "have_info_from_repo": false
-        },
-        "multi-subject-render": {
-            "name": "multi-subject-render",
-            "path": "/home/stable-diffusion-webui/extensions/multi-subject-render",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/Extraltodeus/multi-subject-render.git",
-            "commit_hash": "03427e26bebdc6da0ccfb749bf3c4e7e33d7458b",
-            "commit_date": 1678111890,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "multidiffusion-upscaler-for-automatic1111": {
-            "name": "multidiffusion-upscaler-for-automatic1111",
-            "path": "/home/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111",
-            "commit_hash": "fbb24736c9bc374c7f098f82b575fcd14a73936a",
-            "commit_date": 1698833791,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-civitai-browser-plus": {
-            "name": "sd-civitai-browser-plus",
-            "path": "/home/stable-diffusion-webui/extensions/sd-civitai-browser-plus",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/BlafKing/sd-civitai-browser-plus.git",
-            "commit_hash": "c0a82f76d15422804d32eee61b9514821890aed6",
-            "commit_date": 1701820033,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-webui-animatediff": {
-            "name": "sd-webui-animatediff",
-            "path": "/home/stable-diffusion-webui/extensions/sd-webui-animatediff",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/continue-revolution/sd-webui-animatediff.git",
-            "commit_hash": "bf9212312504189ace1e17a2c973022933abe93d",
-            "commit_date": 1710503377,
-            "branch": "master",
-            "have_info_from_repo": false
-        },
-        "sd-webui-controlnet": {
-            "name": "sd-webui-controlnet",
-            "path": "/home/stable-diffusion-webui/extensions/sd-webui-controlnet",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git",
-            "commit_hash": "10bd9b25f62deab9acb256301bbf3363c42645e7",
-            "commit_date": 1700624635,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-webui-infinite-image-browsing": {
-            "name": "sd-webui-infinite-image-browsing",
-            "path": "/home/stable-diffusion-webui/extensions/sd-webui-infinite-image-browsing",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/zanllp/sd-webui-infinite-image-browsing.git",
-            "commit_hash": "16696b075e0560758d091a5164d5733a34912f3c",
-            "commit_date": 1701605096,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-webui-loractl": {
-            "name": "sd-webui-loractl",
-            "path": "/home/stable-diffusion-webui/extensions/sd-webui-loractl",
-            "enabled": false,
-            "is_builtin": false,
-            "remote": "https://github.com/cheald/sd-webui-loractl.git",
-            "commit_hash": "b48cf602b0c414a362726fa079a284f3ae6a51e2",
-            "commit_date": 1695172598,
-            "branch": "master",
-            "have_info_from_repo": false
-        },
-        "sd_civitai_extension": {
-            "name": "sd_civitai_extension",
-            "path": "/home/stable-diffusion-webui/extensions/sd_civitai_extension",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/civitai/sd_civitai_extension.git",
-            "commit_hash": "136983e89859fd0477b4a437ed333142a6aa29a4",
-            "commit_date": 1698727428,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd_dreambooth_extension": {
-            "name": "sd_dreambooth_extension",
-            "path": "/home/stable-diffusion-webui/extensions/sd_dreambooth_extension",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/d8ahazard/sd_dreambooth_extension.git",
-            "commit_hash": "c548ede6a3acb85d78650ff50ae583786b305f0e",
-            "commit_date": 1700504411,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "stable-diffusion-webui-images-browser": {
-            "name": "stable-diffusion-webui-images-browser",
-            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-images-browser",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/AlUlkesh/stable-diffusion-webui-images-browser.git",
-            "commit_hash": "3d2d0f4c7b0599f88df99a9ea66c21bcbec49bda",
-            "commit_date": 1706884847,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "stable-diffusion-webui-rembg": {
-            "name": "stable-diffusion-webui-rembg",
-            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-rembg",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",
-            "commit_hash": "3d9eedbbf0d585207f97d5b21e42f32c0042df70",
-            "commit_date": 1685885724,
-            "branch": "master",
-            "have_info_from_repo": false
-        },
-        "stable-diffusion-webui-two-shot": {
-            "name": "stable-diffusion-webui-two-shot",
-            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot",
-            "enabled": false,
-            "is_builtin": false,
-            "remote": "https://github.com/ashen-sensored/stable-diffusion-webui-two-shot.git",
-            "commit_hash": "6b55dd5248fd07f55ffefbf9be369b439b239502",
-            "commit_date": 1680434665,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "zulu571": {
-            "name": "zulu571",
-            "path": "/home/stable-diffusion-webui/extensions/zulu571",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "http://47.93.16.222:3000/Iyashinouta/sd-colab-commands-browser",
-            "commit_hash": "dcd26f39829bda68459b73bd21acc090734ffa29",
-            "commit_date": 1677534269,
-            "branch": "main",
-            "have_info_from_repo": false
-        }
-    },
-    "name": "Backup (pre-update)"
-}
\ No newline at end of file
diff --git a/config_states/2023_09_25-03_31_40_Backup (pre-update).json b/config_states/2024_03_29-20_10_18_CONFIG.json
old mode 100755
new mode 100644
similarity index 53%
rename from config_states/2023_09_25-03_31_40_Backup (pre-update).json
rename to config_states/2024_03_29-20_10_18_CONFIG.json
index d8738e1dd3e..7bfcad3c104
--- a/config_states/2023_09_25-03_31_40_Backup (pre-update).json	
+++ b/config_states/2024_03_29-20_10_18_CONFIG.json
@@ -1,59 +1,15 @@
 {
-    "created_at": 1695612700.693513,
+    "created_at": 1711743018.039572,
     "webui": {
-        "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui.git",
-        "commit_hash": "5ef669de080814067961f28357256e8fe27544f4",
-        "commit_date": 1693456714,
+        "remote": "https://github.com/kurukuruinc/stable-diffusion-webui.git",
+        "commit_hash": "b2d292495c0b21cfa7d69ac9f2be03cf53767432",
+        "commit_date": 1711741648,
         "branch": "master"
     },
     "extensions": {
-        "multidiffusion-upscaler-for-automatic1111": {
-            "name": "multidiffusion-upscaler-for-automatic1111",
-            "path": "/home/np/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111",
-            "commit_hash": "f9f8073e64f4e682838f255215039ba7884553bf",
-            "commit_date": 1690008791,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "sd-webui-controlnet": {
-            "name": "sd-webui-controlnet",
-            "path": "/home/np/stable-diffusion-webui/extensions/sd-webui-controlnet",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git",
-            "commit_hash": "07bed6ccf8a468a45b2833cfdadc749927cbd575",
-            "commit_date": 1688849641,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
-        "stable-diffusion-webui-rembg": {
-            "name": "stable-diffusion-webui-rembg",
-            "path": "/home/np/stable-diffusion-webui/extensions/stable-diffusion-webui-rembg",
-            "enabled": true,
-            "is_builtin": false,
-            "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",
-            "commit_hash": "3d9eedbbf0d585207f97d5b21e42f32c0042df70",
-            "commit_date": 1685885724,
-            "branch": "master",
-            "have_info_from_repo": false
-        },
-        "stable-diffusion-webui-two-shot": {
-            "name": "stable-diffusion-webui-two-shot",
-            "path": "/home/np/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot",
-            "enabled": false,
-            "is_builtin": false,
-            "remote": "https://github.com/ashen-sensored/stable-diffusion-webui-two-shot.git",
-            "commit_hash": "6b55dd5248fd07f55ffefbf9be369b439b239502",
-            "commit_date": 1680434665,
-            "branch": "main",
-            "have_info_from_repo": false
-        },
         "LDSR": {
             "name": "LDSR",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/LDSR",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/LDSR",
             "enabled": true,
             "is_builtin": true,
             "remote": null,
@@ -64,8 +20,8 @@
         },
         "Lora": {
             "name": "Lora",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/Lora",
-            "enabled": false,
+            "path": "/home/stable-diffusion-webui/extensions-builtin/Lora",
+            "enabled": true,
             "is_builtin": true,
             "remote": null,
             "commit_hash": "",
@@ -75,7 +31,7 @@
         },
         "ScuNET": {
             "name": "ScuNET",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/ScuNET",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/ScuNET",
             "enabled": true,
             "is_builtin": true,
             "remote": null,
@@ -86,7 +42,7 @@
         },
         "SwinIR": {
             "name": "SwinIR",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/SwinIR",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/SwinIR",
             "enabled": true,
             "is_builtin": true,
             "remote": null,
@@ -97,7 +53,7 @@
         },
         "canvas-zoom-and-pan": {
             "name": "canvas-zoom-and-pan",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/canvas-zoom-and-pan",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/canvas-zoom-and-pan",
             "enabled": true,
             "is_builtin": true,
             "remote": null,
@@ -108,7 +64,18 @@
         },
         "extra-options-section": {
             "name": "extra-options-section",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/extra-options-section",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/extra-options-section",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "hypertile": {
+            "name": "hypertile",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/hypertile",
             "enabled": true,
             "is_builtin": true,
             "remote": null,
@@ -119,7 +86,7 @@
         },
         "mobile": {
             "name": "mobile",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/mobile",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/mobile",
             "enabled": true,
             "is_builtin": true,
             "remote": null,
@@ -130,7 +97,7 @@
         },
         "prompt-bracket-checker": {
             "name": "prompt-bracket-checker",
-            "path": "/home/np/stable-diffusion-webui/extensions-builtin/prompt-bracket-checker",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/prompt-bracket-checker",
             "enabled": true,
             "is_builtin": true,
             "remote": null,
@@ -138,7 +105,62 @@
             "commit_date": null,
             "branch": null,
             "have_info_from_repo": false
+        },
+        "soft-inpainting": {
+            "name": "soft-inpainting",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/soft-inpainting",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "multidiffusion-upscaler-for-automatic1111": {
+            "name": "multidiffusion-upscaler-for-automatic1111",
+            "path": "/home/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111",
+            "commit_hash": "76cde3c2bf15b212d4fde66c8a29d96f0a598916",
+            "commit_date": 1709969880,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "sd-webui-controlnet": {
+            "name": "sd-webui-controlnet",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-controlnet",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git",
+            "commit_hash": "2091b6fb21d9c76becb2a8860c8d2975ad3e428a",
+            "commit_date": 1710469955,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "sd-webui-loractl": {
+            "name": "sd-webui-loractl",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-loractl",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/cheald/sd-webui-loractl.git",
+            "commit_hash": "b48cf602b0c414a362726fa079a284f3ae6a51e2",
+            "commit_date": 1695172598,
+            "branch": "master",
+            "have_info_from_repo": false
+        },
+        "stable-diffusion-webui-images-browser": {
+            "name": "stable-diffusion-webui-images-browser",
+            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-images-browser",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/AlUlkesh/stable-diffusion-webui-images-browser.git",
+            "commit_hash": "3d2d0f4c7b0599f88df99a9ea66c21bcbec49bda",
+            "commit_date": 1706884847,
+            "branch": "main",
+            "have_info_from_repo": false
         }
     },
-    "name": "Backup (pre-update)"
+    "name": "CONFIG"
 }
\ No newline at end of file
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literal 0
HcmV?d00001

diff --git a/ui-config.json b/ui-config.json
index 189b68180d0..d87702bca7d 100755
--- a/ui-config.json
+++ b/ui-config.json
@@ -2763,5 +2763,9 @@
     "pbremtools/Memory usage/minimum": 1,
     "pbremtools/Memory usage/maximum": 2048,
     "pbremtools/Memory usage/step": 1,
-    "pbremtools/Submit/visible": true
+    "pbremtools/Submit/visible": true,
+    "customscript/extra_options_section.py/txt2img/SD VAE/visible": true,
+    "customscript/extra_options_section.py/txt2img/SD VAE/value": "None",
+    "customscript/extra_options_section.py/img2img/SD VAE/visible": true,
+    "customscript/extra_options_section.py/img2img/SD VAE/value": "None"
 }
\ No newline at end of file

From 872988e3ac2870d90b34f7e8dd249c3fa4196314 Mon Sep 17 00:00:00 2001
From: evan <evan@shortbread.ai>
Date: Fri, 29 Mar 2024 20:28:52 +0000
Subject: [PATCH 007/125] f

---
 .gitignore | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/.gitignore b/.gitignore
index b732b1205c1..d05dbe980e9 100755
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,6 @@
 __pycache__
 *.ckpt
-*.safetensors
+# *.safetensors
 *.pth
 /ESRGAN/*
 /SwinIR/*
@@ -8,7 +8,8 @@ __pycache__
 /venv
 /tmp
 /model.ckpt
-/models/**/*
+models/*
+# !models/Stable-diffusion
 /GFPGANv1.3.pth
 /gfpgan/weights/*.pth
 /outputs

From 02d077ad8a6681b8f9b27672a566aec0c3b89a46 Mon Sep 17 00:00:00 2001
From: Evan Hu <hu.evan123@gmail.com>
Date: Fri, 29 Mar 2024 13:33:06 -0700
Subject: [PATCH 008/125] Update README.md

---
 README.md | 182 +-----------------------------------------------------
 1 file changed, 1 insertion(+), 181 deletions(-)

diff --git a/README.md b/README.md
index f4cfcf29008..0cc4f2aef76 100755
--- a/README.md
+++ b/README.md
@@ -1,182 +1,2 @@
 # Stable Diffusion web UI
-A web interface for Stable Diffusion, implemented using Gradio library.
-
-![](screenshot.png)
-
-## Features
-[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
-- Original txt2img and img2img modes
-- One click install and run script (but you still must install python and git)
-- Outpainting
-- Inpainting
-- Color Sketch
-- Prompt Matrix
-- Stable Diffusion Upscale
-- Attention, specify parts of text that the model should pay more attention to
-    - a man in a `((tuxedo))` - will pay more attention to tuxedo
-    - a man in a `(tuxedo:1.21)` - alternative syntax
-    - select text and press `Ctrl+Up` or `Ctrl+Down` (or `Command+Up` or `Command+Down` if you're on a MacOS) to automatically adjust attention to selected text (code contributed by anonymous user)
-- Loopback, run img2img processing multiple times
-- X/Y/Z plot, a way to draw a 3 dimensional plot of images with different parameters
-- Textual Inversion
-    - have as many embeddings as you want and use any names you like for them
-    - use multiple embeddings with different numbers of vectors per token
-    - works with half precision floating point numbers
-    - train embeddings on 8GB (also reports of 6GB working)
-- Extras tab with:
-    - GFPGAN, neural network that fixes faces
-    - CodeFormer, face restoration tool as an alternative to GFPGAN
-    - RealESRGAN, neural network upscaler
-    - ESRGAN, neural network upscaler with a lot of third party models
-    - SwinIR and Swin2SR ([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
-    - LDSR, Latent diffusion super resolution upscaling
-- Resizing aspect ratio options
-- Sampling method selection
-    - Adjust sampler eta values (noise multiplier)
-    - More advanced noise setting options
-- Interrupt processing at any time
-- 4GB video card support (also reports of 2GB working)
-- Correct seeds for batches
-- Live prompt token length validation
-- Generation parameters
-     - parameters you used to generate images are saved with that image
-     - in PNG chunks for PNG, in EXIF for JPEG
-     - can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
-     - can be disabled in settings
-     - drag and drop an image/text-parameters to promptbox
-- Read Generation Parameters Button, loads parameters in promptbox to UI
-- Settings page
-- Running arbitrary python code from UI (must run with `--allow-code` to enable)
-- Mouseover hints for most UI elements
-- Possible to change defaults/mix/max/step values for UI elements via text config
-- Tiling support, a checkbox to create images that can be tiled like textures
-- Progress bar and live image generation preview
-    - Can use a separate neural network to produce previews with almost none VRAM or compute requirement
-- Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
-- Styles, a way to save part of prompt and easily apply them via dropdown later
-- Variations, a way to generate same image but with tiny differences
-- Seed resizing, a way to generate same image but at slightly different resolution
-- CLIP interrogator, a button that tries to guess prompt from an image
-- Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
-- Batch Processing, process a group of files using img2img
-- Img2img Alternative, reverse Euler method of cross attention control
-- Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
-- Reloading checkpoints on the fly
-- Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one
-- [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
-- [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once
-     - separate prompts using uppercase `AND`
-     - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`
-- No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
-- DeepDanbooru integration, creates danbooru style tags for anime prompts
-- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args)
-- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
-- Generate forever option
-- Training tab
-     - hypernetworks and embeddings options
-     - Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)
-- Clip skip
-- Hypernetworks
-- Loras (same as Hypernetworks but more pretty)
-- A separate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt 
-- Can select to load a different VAE from settings screen
-- Estimated completion time in progress bar
-- API
-- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
-- via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
-- [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
-- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
-- Now without any bad letters!
-- Load checkpoints in safetensors format
-- Eased resolution restriction: generated image's dimensions must be a multiple of 8 rather than 64
-- Now with a license!
-- Reorder elements in the UI from settings screen
-- [Segmind Stable Diffusion](https://huggingface.co/segmind/SSD-1B) support
-
-## Installation and Running
-Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for:
-- [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended)
-- [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
-- [Intel CPUs, Intel GPUs (both integrated and discrete)](https://github.com/openvinotoolkit/stable-diffusion-webui/wiki/Installation-on-Intel-Silicon) (external wiki page)
-
-Alternatively, use online services (like Google Colab):
-
-- [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
-
-### Installation on Windows 10/11 with NVidia-GPUs using release package
-1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre) and extract its contents.
-2. Run `update.bat`.
-3. Run `run.bat`.
-> For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs)
-
-### Automatic Installation on Windows
-1. Install [Python 3.10.6](https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH".
-2. Install [git](https://git-scm.com/download/win).
-3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
-4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
-
-### Automatic Installation on Linux
-1. Install the dependencies:
-```bash
-# Debian-based:
-sudo apt install wget git python3 python3-venv libgl1 libglib2.0-0
-# Red Hat-based:
-sudo dnf install wget git python3 gperftools-libs libglvnd-glx 
-# openSUSE-based:
-sudo zypper install wget git python3 libtcmalloc4 libglvnd
-# Arch-based:
-sudo pacman -S wget git python3
-```
-2. Navigate to the directory you would like the webui to be installed and execute the following command:
-```bash
-wget -q https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh
-```
-3. Run `webui.sh`.
-4. Check `webui-user.sh` for options.
-### Installation on Apple Silicon
-
-Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
-
-## Contributing
-Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
-
-## Documentation
-
-The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
-
-For the purposes of getting Google and other search engines to crawl the wiki, here's a link to the (not for humans) [crawlable wiki](https://github-wiki-see.page/m/AUTOMATIC1111/stable-diffusion-webui/wiki).
-
-## Credits
-Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
-
-- Stable Diffusion - https://github.com/Stability-AI/stablediffusion, https://github.com/CompVis/taming-transformers
-- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
-- Spandrel - https://github.com/chaiNNer-org/spandrel implementing
-  - GFPGAN - https://github.com/TencentARC/GFPGAN.git
-  - CodeFormer - https://github.com/sczhou/CodeFormer
-  - ESRGAN - https://github.com/xinntao/ESRGAN
-  - SwinIR - https://github.com/JingyunLiang/SwinIR
-  - Swin2SR - https://github.com/mv-lab/swin2sr
-- LDSR - https://github.com/Hafiidz/latent-diffusion
-- MiDaS - https://github.com/isl-org/MiDaS
-- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
-- Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
-- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
-- Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention)
-- Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
-- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
-- Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
-- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
-- Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
-- xformers - https://github.com/facebookresearch/xformers
-- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
-- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
-- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
-- Security advice - RyotaK
-- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
-- TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
-- LyCORIS - KohakuBlueleaf
-- Restart sampling - lambertae - https://github.com/Newbeeer/diffusion_restart_sampling
-- Hypertile - tfernd - https://github.com/tfernd/HyperTile
-- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
-- (You)
+A web interface for Stable Diffusion. Fork of A1111/stable-diffusion-web-ui. For Ubuntu with use of [PyEnv](https://github.com/pyenv/pyenv).

From ec97a92fd3f148c19eedf8af14bfc2f9a2c0e49e Mon Sep 17 00:00:00 2001
From: Evan Hu <hu.evan123@gmail.com>
Date: Fri, 29 Mar 2024 13:34:55 -0700
Subject: [PATCH 009/125] Update README.md

---
 README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/README.md b/README.md
index 0cc4f2aef76..2cc4ac02985 100755
--- a/README.md
+++ b/README.md
@@ -1,2 +1,6 @@
 # Stable Diffusion web UI
 A web interface for Stable Diffusion. Fork of A1111/stable-diffusion-web-ui. For Ubuntu with use of [PyEnv](https://github.com/pyenv/pyenv).
+
+# Start
+Ensure there is a Python3.10 installation and it is pointed at in webui-user.sh.
+```sudo ./webui.sh```

From 8eca4cf29fba0c40f8a71df7b9198a091ccb92fb Mon Sep 17 00:00:00 2001
From: Evan <evan@shortbread.ai>
Date: Fri, 29 Mar 2024 20:35:09 +0000
Subject: [PATCH 010/125] readme

---
 webui-user.sh | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/webui-user.sh b/webui-user.sh
index 80f7d2479f1..54267ce31ba 100755
--- a/webui-user.sh
+++ b/webui-user.sh
@@ -11,6 +11,8 @@
 
 # Commandline arguments for webui.py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention"
 export COMMANDLINE_ARGS="--listen --no-gradio-queue --no-half-vae --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
+# Use this one below to reinstall pytorch
+# export COMMANDLINE_ARGS="--listen --reinstall-pytorch --no-gradio-queue --no-half-vae --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
 
 # python3 executable
 python_cmd="/home/evanhu/.pyenv/versions/3.10.13/bin/python3.10"

From 5b8c216b4331a7dbc6dd521b04068261693f0599 Mon Sep 17 00:00:00 2001
From: Evan <evan@shortbread.ai>
Date: Thu, 18 Apr 2024 21:22:58 +0000
Subject: [PATCH 011/125] config

---
 config.json                                   |  19 +-
 ...24_04_02-21_08_21_Backup (pre-update).json | 265 ++++++++++++++++++
 ui-config.json                                | 102 ++++++-
 3 files changed, 379 insertions(+), 7 deletions(-)
 create mode 100644 config_states/2024_04_02-21_08_21_Backup (pre-update).json

diff --git a/config.json b/config.json
index 5a09d9757b2..9bffdb5b695 100755
--- a/config.json
+++ b/config.json
@@ -71,10 +71,10 @@
     "training_enable_tensorboard": false,
     "training_tensorboard_save_images": false,
     "training_tensorboard_flush_every": 120,
-    "sd_model_checkpoint": "Counterfeit-V3.0_fp32.safetensors [17277fbe68]",
+    "sd_model_checkpoint": "helloyoung25d_V15jvae.safetensors [d3b025bd3f]",
     "sd_checkpoint_cache": 0,
     "sd_vae_checkpoint_cache": 0,
-    "sd_vae": "Anything-V3.0.vae.pt",
+    "sd_vae": "vae-ft-mse-840000-ema-pruned.ckpt",
     "sd_vae_as_default": true,
     "sd_unet": "Automatic",
     "inpainting_mask_weight": 1.0,
@@ -90,7 +90,7 @@
     "upcast_attn": false,
     "randn_source": "GPU",
     "cross_attention_optimization": "Automatic",
-    "s_min_uncond": 1.2,
+    "s_min_uncond": 0,
     "token_merging_ratio": 0.1,
     "token_merging_ratio_img2img": 0.1,
     "token_merging_ratio_hr": 0.0,
@@ -187,12 +187,19 @@
     "postprocessing_operation_order": [],
     "upscaling_max_images_in_cache": 5,
     "disabled_extensions": [
-        "sd-webui-loractl",
-        "stable-diffusion-webui-two-shot"
+        "PBRemTools",
+        "multi-subject-render",
+        "sd-civitai-browser-plus",
+        "sd-webui-animatediff",
+        "sd-webui-infinite-image-browsing",
+        "sd_civitai_extension",
+        "stable-diffusion-webui-rembg",
+        "stable-diffusion-webui-two-shot",
+        "zulu571"
     ],
     "disable_all_extensions": "none",
     "restore_config_state_file": "",
-    "sd_checkpoint_hash": "17277fbe68541b183f48855f7998e72068e96dca55c102013a8cefed92aaaaa3",
+    "sd_checkpoint_hash": "d3b025bd3ffaa9f76a60e5936396029045d00367f247ac221b8ae3470eb6675e",
     "ldsr_steps": 100,
     "ldsr_cached": false,
     "SCUNET_tile": 256,
diff --git a/config_states/2024_04_02-21_08_21_Backup (pre-update).json b/config_states/2024_04_02-21_08_21_Backup (pre-update).json
new file mode 100644
index 00000000000..06debfdcebe
--- /dev/null
+++ b/config_states/2024_04_02-21_08_21_Backup (pre-update).json	
@@ -0,0 +1,265 @@
+{
+    "created_at": 1712092101.286983,
+    "webui": {
+        "remote": "https://github.com/kurukuruinc/stable-diffusion-webui.git",
+        "commit_hash": "8eca4cf29fba0c40f8a71df7b9198a091ccb92fb",
+        "commit_date": 1711744519,
+        "branch": "master"
+    },
+    "extensions": {
+        "LDSR": {
+            "name": "LDSR",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/LDSR",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "Lora": {
+            "name": "Lora",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/Lora",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "ScuNET": {
+            "name": "ScuNET",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/ScuNET",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "SwinIR": {
+            "name": "SwinIR",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/SwinIR",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "canvas-zoom-and-pan": {
+            "name": "canvas-zoom-and-pan",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/canvas-zoom-and-pan",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "extra-options-section": {
+            "name": "extra-options-section",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/extra-options-section",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "hypertile": {
+            "name": "hypertile",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/hypertile",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "mobile": {
+            "name": "mobile",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/mobile",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "prompt-bracket-checker": {
+            "name": "prompt-bracket-checker",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/prompt-bracket-checker",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "soft-inpainting": {
+            "name": "soft-inpainting",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/soft-inpainting",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "PBRemTools": {
+            "name": "PBRemTools",
+            "path": "/home/stable-diffusion-webui/extensions/PBRemTools",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/mattyamonaca/PBRemTools.git",
+            "commit_hash": "91e16d32b1539552707cb1a40be0b969c076c519",
+            "commit_date": 1690884491,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "multi-subject-render": {
+            "name": "multi-subject-render",
+            "path": "/home/stable-diffusion-webui/extensions/multi-subject-render",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/Extraltodeus/multi-subject-render.git",
+            "commit_hash": "03427e26bebdc6da0ccfb749bf3c4e7e33d7458b",
+            "commit_date": 1678111890,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "multidiffusion-upscaler-for-automatic1111": {
+            "name": "multidiffusion-upscaler-for-automatic1111",
+            "path": "/home/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111",
+            "commit_hash": "76cde3c2bf15b212d4fde66c8a29d96f0a598916",
+            "commit_date": 1709969880,
+            "branch": "main",
+            "have_info_from_repo": true
+        },
+        "sd-civitai-browser-plus": {
+            "name": "sd-civitai-browser-plus",
+            "path": "/home/stable-diffusion-webui/extensions/sd-civitai-browser-plus",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/BlafKing/sd-civitai-browser-plus.git",
+            "commit_hash": "c6f41adac0877048971574e4949117e85a6bffe0",
+            "commit_date": 1710648272,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "sd-webui-animatediff": {
+            "name": "sd-webui-animatediff",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-animatediff",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/continue-revolution/sd-webui-animatediff.git",
+            "commit_hash": "a81565d906c0f16c9a9b95cd80af7b8bafda7cb3",
+            "commit_date": 1710673541,
+            "branch": "master",
+            "have_info_from_repo": false
+        },
+        "sd-webui-controlnet": {
+            "name": "sd-webui-controlnet",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-controlnet",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git",
+            "commit_hash": "2091b6fb21d9c76becb2a8860c8d2975ad3e428a",
+            "commit_date": 1710469955,
+            "branch": "main",
+            "have_info_from_repo": true
+        },
+        "sd-webui-infinite-image-browsing": {
+            "name": "sd-webui-infinite-image-browsing",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-infinite-image-browsing",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/zanllp/sd-webui-infinite-image-browsing.git",
+            "commit_hash": "67935cb077bb9ee3737bcd6cd039ce33a4c943f9",
+            "commit_date": 1710452669,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "sd-webui-loractl": {
+            "name": "sd-webui-loractl",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-loractl",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/cheald/sd-webui-loractl.git",
+            "commit_hash": "b48cf602b0c414a362726fa079a284f3ae6a51e2",
+            "commit_date": 1695172598,
+            "branch": "master",
+            "have_info_from_repo": true
+        },
+        "sd_civitai_extension": {
+            "name": "sd_civitai_extension",
+            "path": "/home/stable-diffusion-webui/extensions/sd_civitai_extension",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/civitai/sd_civitai_extension.git",
+            "commit_hash": "115cd9c35b0774c90cb9c397ad60ef6a7dac60de",
+            "commit_date": 1709685471,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "stable-diffusion-webui-images-browser": {
+            "name": "stable-diffusion-webui-images-browser",
+            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-images-browser",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/AlUlkesh/stable-diffusion-webui-images-browser.git",
+            "commit_hash": "3d2d0f4c7b0599f88df99a9ea66c21bcbec49bda",
+            "commit_date": 1706884847,
+            "branch": "main",
+            "have_info_from_repo": true
+        },
+        "stable-diffusion-webui-rembg": {
+            "name": "stable-diffusion-webui-rembg",
+            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-rembg",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",
+            "commit_hash": "a4c07b857e73f3035f759876797fa6de986def3d",
+            "commit_date": 1703941443,
+            "branch": "master",
+            "have_info_from_repo": false
+        },
+        "stable-diffusion-webui-two-shot": {
+            "name": "stable-diffusion-webui-two-shot",
+            "path": "/home/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "https://github.com/ashen-sensored/stable-diffusion-webui-two-shot.git",
+            "commit_hash": "6b55dd5248fd07f55ffefbf9be369b439b239502",
+            "commit_date": 1680434665,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "zulu571": {
+            "name": "zulu571",
+            "path": "/home/stable-diffusion-webui/extensions/zulu571",
+            "enabled": false,
+            "is_builtin": false,
+            "remote": "http://47.93.16.222:3000/Iyashinouta/sd-colab-commands-browser",
+            "commit_hash": "dcd26f39829bda68459b73bd21acc090734ffa29",
+            "commit_date": 1677534269,
+            "branch": "main",
+            "have_info_from_repo": false
+        }
+    },
+    "name": "Backup (pre-update)"
+}
\ No newline at end of file
diff --git a/ui-config.json b/ui-config.json
index d87702bca7d..21c41c6e973 100755
--- a/ui-config.json
+++ b/ui-config.json
@@ -2767,5 +2767,105 @@
     "customscript/extra_options_section.py/txt2img/SD VAE/visible": true,
     "customscript/extra_options_section.py/txt2img/SD VAE/value": "None",
     "customscript/extra_options_section.py/img2img/SD VAE/visible": true,
-    "customscript/extra_options_section.py/img2img/SD VAE/value": "None"
+    "customscript/extra_options_section.py/img2img/SD VAE/value": "None",
+    "txt2img/Tiled Diffusion/visible": true,
+    "customscript/tilediffusion.py/txt2img/Tiled Diffusion/value": false,
+    "txt2img/Tiled Diffusion/value": false,
+    "txt2img/DemoFusion/visible": true,
+    "customscript/tileglobal.py/txt2img/DemoFusion/value": false,
+    "txt2img/DemoFusion/value": false,
+    "customscript/tileglobal.py/txt2img/Random Jitter/visible": true,
+    "customscript/tileglobal.py/txt2img/Random Jitter/value": true,
+    "customscript/tileglobal.py/txt2img/Keep input-image size/value": false,
+    "customscript/tileglobal.py/txt2img/Mixture mode/visible": true,
+    "customscript/tileglobal.py/txt2img/Mixture mode/value": false,
+    "customscript/tileglobal.py/txt2img/Gaussian Filter/value": true,
+    "customscript/tileglobal.py/txt2img/Global window batch size/visible": true,
+    "customscript/tileglobal.py/txt2img/Global window batch size/value": 4,
+    "customscript/tileglobal.py/txt2img/Global window batch size/minimum": 1,
+    "customscript/tileglobal.py/txt2img/Global window batch size/maximum": 8,
+    "customscript/tileglobal.py/txt2img/Global window batch size/step": 1,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 1/visible": true,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 1/value": 3,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 1/minimum": 0,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 1/maximum": 5,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 1/step": 0.01,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 2/visible": true,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 2/value": 1,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 2/minimum": 0,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 2/maximum": 5,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 2/step": 0.01,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 3/visible": true,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 3/value": 1,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 3/minimum": 0,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 3/maximum": 5,
+    "customscript/tileglobal.py/txt2img/Cosine Scale 3/step": 0.01,
+    "customscript/tileglobal.py/txt2img/Sigma/visible": true,
+    "customscript/tileglobal.py/txt2img/Sigma/value": 0.6,
+    "customscript/tileglobal.py/txt2img/Sigma/minimum": 0,
+    "customscript/tileglobal.py/txt2img/Sigma/maximum": 2,
+    "customscript/tileglobal.py/txt2img/Sigma/step": 0.01,
+    "customscript/tileglobal.py/txt2img/Denoising Strength for Substage/visible": true,
+    "customscript/tileglobal.py/txt2img/Denoising Strength for Substage/value": 0.85,
+    "customscript/tileglobal.py/txt2img/Denoising Strength for Substage/minimum": 0,
+    "customscript/tileglobal.py/txt2img/Denoising Strength for Substage/maximum": 1,
+    "customscript/tileglobal.py/txt2img/Denoising Strength for Substage/step": 0.01,
+    "customscript/tileglobal.py/txt2img/Scale Factor/visible": true,
+    "customscript/tileglobal.py/txt2img/Scale Factor/value": 2.0,
+    "customscript/tileglobal.py/txt2img/Scale Factor/minimum": 1.0,
+    "customscript/tileglobal.py/txt2img/Scale Factor/maximum": 8.0,
+    "customscript/tileglobal.py/txt2img/Scale Factor/step": 1,
+    "txt2img/Tiled VAE/visible": true,
+    "customscript/tilevae.py/txt2img/Tiled VAE/value": false,
+    "txt2img/Tiled VAE/value": false,
+    "img2img/Tiled Diffusion/visible": true,
+    "customscript/tilediffusion.py/img2img/Tiled Diffusion/value": false,
+    "img2img/Tiled Diffusion/value": false,
+    "img2img/DemoFusion/visible": true,
+    "customscript/tileglobal.py/img2img/DemoFusion/value": false,
+    "img2img/DemoFusion/value": false,
+    "customscript/tileglobal.py/img2img/Random Jitter/visible": true,
+    "customscript/tileglobal.py/img2img/Random Jitter/value": true,
+    "customscript/tileglobal.py/img2img/Keep input-image size/visible": true,
+    "customscript/tileglobal.py/img2img/Keep input-image size/value": false,
+    "customscript/tileglobal.py/img2img/Mixture mode/visible": true,
+    "customscript/tileglobal.py/img2img/Mixture mode/value": false,
+    "customscript/tileglobal.py/img2img/Gaussian Filter/value": true,
+    "customscript/tileglobal.py/img2img/Global window batch size/visible": true,
+    "customscript/tileglobal.py/img2img/Global window batch size/value": 4,
+    "customscript/tileglobal.py/img2img/Global window batch size/minimum": 1,
+    "customscript/tileglobal.py/img2img/Global window batch size/maximum": 8,
+    "customscript/tileglobal.py/img2img/Global window batch size/step": 1,
+    "customscript/tileglobal.py/img2img/Cosine Scale 1/visible": true,
+    "customscript/tileglobal.py/img2img/Cosine Scale 1/value": 3,
+    "customscript/tileglobal.py/img2img/Cosine Scale 1/minimum": 0,
+    "customscript/tileglobal.py/img2img/Cosine Scale 1/maximum": 5,
+    "customscript/tileglobal.py/img2img/Cosine Scale 1/step": 0.01,
+    "customscript/tileglobal.py/img2img/Cosine Scale 2/visible": true,
+    "customscript/tileglobal.py/img2img/Cosine Scale 2/value": 1,
+    "customscript/tileglobal.py/img2img/Cosine Scale 2/minimum": 0,
+    "customscript/tileglobal.py/img2img/Cosine Scale 2/maximum": 5,
+    "customscript/tileglobal.py/img2img/Cosine Scale 2/step": 0.01,
+    "customscript/tileglobal.py/img2img/Cosine Scale 3/visible": true,
+    "customscript/tileglobal.py/img2img/Cosine Scale 3/value": 1,
+    "customscript/tileglobal.py/img2img/Cosine Scale 3/minimum": 0,
+    "customscript/tileglobal.py/img2img/Cosine Scale 3/maximum": 5,
+    "customscript/tileglobal.py/img2img/Cosine Scale 3/step": 0.01,
+    "customscript/tileglobal.py/img2img/Sigma/visible": true,
+    "customscript/tileglobal.py/img2img/Sigma/value": 0.6,
+    "customscript/tileglobal.py/img2img/Sigma/minimum": 0,
+    "customscript/tileglobal.py/img2img/Sigma/maximum": 2,
+    "customscript/tileglobal.py/img2img/Sigma/step": 0.01,
+    "customscript/tileglobal.py/img2img/Denoising Strength for Substage/value": 0.85,
+    "customscript/tileglobal.py/img2img/Denoising Strength for Substage/minimum": 0,
+    "customscript/tileglobal.py/img2img/Denoising Strength for Substage/maximum": 1,
+    "customscript/tileglobal.py/img2img/Denoising Strength for Substage/step": 0.01,
+    "customscript/tileglobal.py/img2img/Scale Factor/visible": true,
+    "customscript/tileglobal.py/img2img/Scale Factor/value": 2.0,
+    "customscript/tileglobal.py/img2img/Scale Factor/minimum": 1.0,
+    "customscript/tileglobal.py/img2img/Scale Factor/maximum": 8.0,
+    "customscript/tileglobal.py/img2img/Scale Factor/step": 1,
+    "img2img/Tiled VAE/visible": true,
+    "customscript/tilevae.py/img2img/Tiled VAE/value": false,
+    "img2img/Tiled VAE/value": false
 }
\ No newline at end of file

From 8cd0d537bf9d27996c0c4dc19e747b4ddcf3f902 Mon Sep 17 00:00:00 2001
From: Evan <evan@shortbread.ai>
Date: Thu, 18 Apr 2024 21:38:17 +0000
Subject: [PATCH 012/125] readme

---
 README.md                                     | 32 ++++++++++++++++++-
 config_states/2024_03_29-20_10_18_CONFIG.json |  0
 webui-user.sh                                 |  2 +-
 3 files changed, 32 insertions(+), 2 deletions(-)
 mode change 100644 => 100755 config_states/2024_03_29-20_10_18_CONFIG.json

diff --git a/README.md b/README.md
index 2cc4ac02985..18f9ac2328b 100755
--- a/README.md
+++ b/README.md
@@ -1,6 +1,36 @@
 # Stable Diffusion web UI
 A web interface for Stable Diffusion. Fork of A1111/stable-diffusion-web-ui. For Ubuntu with use of [PyEnv](https://github.com/pyenv/pyenv).
 
+# Install
+```
+curl https://pyenv.run | bash
+echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
+echo 'command -v pyenv >/dev/null || export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
+echo 'eval "$(pyenv init -)"' >> ~/.bashrc`
+source ~/.bashrc
+```
+
+## Python Build Dependencies for PyEnv ([Wiki](https://github.com/pyenv/pyenv/wiki#suggested-build-environment))
+### Mac
+```
+brew install openssl readline sqlite3 xz zlib tcl-tk
+```
+
+### Linux
+```
+sudo apt install build-essential libssl-dev zlib1g-dev \
+libbz2-dev libreadline-dev libsqlite3-dev curl \
+libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev
+```
+
+## Python Venv
+```
+pyenv install 3.10.14
+pyenv shell 3.10.14
+```
+
 # Start
 Ensure there is a Python3.10 installation and it is pointed at in webui-user.sh.
-```sudo ./webui.sh```
+```
+sudo ./webui.sh
+```
diff --git a/config_states/2024_03_29-20_10_18_CONFIG.json b/config_states/2024_03_29-20_10_18_CONFIG.json
old mode 100644
new mode 100755
diff --git a/webui-user.sh b/webui-user.sh
index 54267ce31ba..5f775d9ca8e 100755
--- a/webui-user.sh
+++ b/webui-user.sh
@@ -15,7 +15,7 @@ export COMMANDLINE_ARGS="--listen --no-gradio-queue --no-half-vae --xformers --e
 # export COMMANDLINE_ARGS="--listen --reinstall-pytorch --no-gradio-queue --no-half-vae --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
 
 # python3 executable
-python_cmd="/home/evanhu/.pyenv/versions/3.10.13/bin/python3.10"
+python_cmd="/home/evanhu/.pyenv/versions/3.10.14/bin/python3.10"
 
 # git executable
 #export GIT="git"

From cc459d1fa0fc59a2266d7f8c0173723b0ff94b76 Mon Sep 17 00:00:00 2001
From: evan <evan@shortbread.ai>
Date: Thu, 18 Apr 2024 21:48:53 +0000
Subject: [PATCH 013/125] v

---
 README.md     | 4 ++--
 webui-user.sh | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 18f9ac2328b..3831007f5e9 100755
--- a/README.md
+++ b/README.md
@@ -25,8 +25,8 @@ libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-d
 
 ## Python Venv
 ```
-pyenv install 3.10.14
-pyenv shell 3.10.14
+pyenv install 3.10.13
+pyenv shell 3.10.13
 ```
 
 # Start
diff --git a/webui-user.sh b/webui-user.sh
index 5f775d9ca8e..54267ce31ba 100755
--- a/webui-user.sh
+++ b/webui-user.sh
@@ -15,7 +15,7 @@ export COMMANDLINE_ARGS="--listen --no-gradio-queue --no-half-vae --xformers --e
 # export COMMANDLINE_ARGS="--listen --reinstall-pytorch --no-gradio-queue --no-half-vae --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
 
 # python3 executable
-python_cmd="/home/evanhu/.pyenv/versions/3.10.14/bin/python3.10"
+python_cmd="/home/evanhu/.pyenv/versions/3.10.13/bin/python3.10"
 
 # git executable
 #export GIT="git"

From 2b717bb195a3034853ed45a52c5752f010e1302b Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Tue, 23 Apr 2024 02:35:25 +0900
Subject: [PATCH 014/125] fix initial corrupt model loop

if for some reason the initial loading model at loading phase of webui  is corrupted
after entering this state the user will not be able to load even a good model is selected, due the the unload_model_weights  > send_model_to_cpu > m.lowvram attribute check will fail becaules m is None
webui will be stuck in the loop unable to recover without manual intervention
---
 modules/sd_models.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index ff245b7a668..1747ca62103 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -659,10 +659,11 @@ def get_empty_cond(sd_model):
 
 
 def send_model_to_cpu(m):
-    if m.lowvram:
-        lowvram.send_everything_to_cpu()
-    else:
-        m.to(devices.cpu)
+    if m is not None:
+        if m.lowvram:
+            lowvram.send_everything_to_cpu()
+        else:
+            m.to(devices.cpu)
 
     devices.torch_gc()
 

From 4bc39d234d6535e3d8f8531d0c0f4e049261c922 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Tue, 23 Apr 2024 02:39:45 +0900
Subject: [PATCH 015/125] Show LoRA if model is None

---
 .../Lora/ui_extra_networks_lora.py            | 23 ++++++++++---------
 1 file changed, 12 insertions(+), 11 deletions(-)

diff --git a/extensions-builtin/Lora/ui_extra_networks_lora.py b/extensions-builtin/Lora/ui_extra_networks_lora.py
index b627f7dc29d..e35d90c6ea3 100644
--- a/extensions-builtin/Lora/ui_extra_networks_lora.py
+++ b/extensions-builtin/Lora/ui_extra_networks_lora.py
@@ -60,18 +60,19 @@ def create_item(self, name, index=None, enable_filter=True):
         else:
             sd_version = lora_on_disk.sd_version
 
-        if shared.opts.lora_show_all or not enable_filter:
-            pass
-        elif sd_version == network.SdVersion.Unknown:
-            model_version = network.SdVersion.SDXL if shared.sd_model.is_sdxl else network.SdVersion.SD2 if shared.sd_model.is_sd2 else network.SdVersion.SD1
-            if model_version.name in shared.opts.lora_hide_unknown_for_versions:
+        if shared.sd_model is not None:  # still show LoRA in case an error occurs during initial model loading
+            if shared.opts.lora_show_all or not enable_filter:
+                pass
+            elif sd_version == network.SdVersion.Unknown:
+                model_version = network.SdVersion.SDXL if shared.sd_model.is_sdxl else network.SdVersion.SD2 if shared.sd_model.is_sd2 else network.SdVersion.SD1
+                if model_version.name in shared.opts.lora_hide_unknown_for_versions:
+                    return None
+            elif shared.sd_model.is_sdxl and sd_version != network.SdVersion.SDXL:
+                return None
+            elif shared.sd_model.is_sd2 and sd_version != network.SdVersion.SD2:
+                return None
+            elif shared.sd_model.is_sd1 and sd_version != network.SdVersion.SD1:
                 return None
-        elif shared.sd_model.is_sdxl and sd_version != network.SdVersion.SDXL:
-            return None
-        elif shared.sd_model.is_sd2 and sd_version != network.SdVersion.SD2:
-            return None
-        elif shared.sd_model.is_sd1 and sd_version != network.SdVersion.SD1:
-            return None
 
         return item
 

From 246c269af87757998f57bb27ddda59fdc7cff976 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Tue, 23 Apr 2024 03:08:09 +0900
Subject: [PATCH 016/125] add option to check file hash after download

if the sha256 hash does not match it will be automatically deleted
---
 modules/modelloader.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/modules/modelloader.py b/modules/modelloader.py
index 115415c8e65..5421e59b013 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -23,6 +23,7 @@ def load_file_from_url(
     model_dir: str,
     progress: bool = True,
     file_name: str | None = None,
+    hash_prefix: str | None = None,
 ) -> str:
     """Download a file from `url` into `model_dir`, using the file present if possible.
 
@@ -36,11 +37,11 @@ def load_file_from_url(
     if not os.path.exists(cached_file):
         print(f'Downloading: "{url}" to {cached_file}\n')
         from torch.hub import download_url_to_file
-        download_url_to_file(url, cached_file, progress=progress)
+        download_url_to_file(url, cached_file, progress=progress, hash_prefix=hash_prefix)
     return cached_file
 
 
-def load_models(model_path: str, model_url: str = None, command_path: str = None, ext_filter=None, download_name=None, ext_blacklist=None) -> list:
+def load_models(model_path: str, model_url: str = None, command_path: str = None, ext_filter=None, download_name=None, ext_blacklist=None, hash_prefix=None) -> list:
     """
     A one-and done loader to try finding the desired models in specified directories.
 
@@ -49,6 +50,7 @@ def load_models(model_path: str, model_url: str = None, command_path: str = None
     @param model_path: The location to store/find models in.
     @param command_path: A command-line argument to search for models in first.
     @param ext_filter: An optional list of filename extensions to filter by
+    @param hash_prefix: the expected sha256 of the model_url
     @return: A list of paths containing the desired model(s)
     """
     output = []
@@ -78,7 +80,7 @@ def load_models(model_path: str, model_url: str = None, command_path: str = None
 
         if model_url is not None and len(output) == 0:
             if download_name is not None:
-                output.append(load_file_from_url(model_url, model_dir=places[0], file_name=download_name))
+                output.append(load_file_from_url(model_url, model_dir=places[0], file_name=download_name, hash_prefix=hash_prefix))
             else:
                 output.append(model_url)
 

From c69773d7e8f23f8b6c46a8e177b50386e1f1b8e8 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Tue, 23 Apr 2024 03:08:57 +0900
Subject: [PATCH 017/125] ensure integrity for initial sd model download

---
 modules/sd_models.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index ff245b7a668..35d5952af07 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -149,10 +149,12 @@ def list_models():
     cmd_ckpt = shared.cmd_opts.ckpt
     if shared.cmd_opts.no_download_sd_model or cmd_ckpt != shared.sd_model_file or os.path.exists(cmd_ckpt):
         model_url = None
+        expected_sha256 = None
     else:
         model_url = f"{shared.hf_endpoint}/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors"
+        expected_sha256 = '6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa'
 
-    model_list = modelloader.load_models(model_path=model_path, model_url=model_url, command_path=shared.cmd_opts.ckpt_dir, ext_filter=[".ckpt", ".safetensors"], download_name="v1-5-pruned-emaonly.safetensors", ext_blacklist=[".vae.ckpt", ".vae.safetensors"])
+    model_list = modelloader.load_models(model_path=model_path, model_url=model_url, command_path=shared.cmd_opts.ckpt_dir, ext_filter=[".ckpt", ".safetensors"], download_name="v1-5-pruned-emaonly.safetensors", ext_blacklist=[".vae.ckpt", ".vae.safetensors"], hash_prefix=expected_sha256)
 
     if os.path.exists(cmd_ckpt):
         checkpoint_info = CheckpointInfo(cmd_ckpt)

From a1aa0af8a45f4c30f1d3fce5635c090d64d4e55b Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Mon, 22 Apr 2024 23:38:44 -0400
Subject: [PATCH 018/125] add code for skipping CFG on early steps

---
 modules/sd_samplers_cfg_denoiser.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py
index 93581c9acc6..8ccc837aa13 100644
--- a/modules/sd_samplers_cfg_denoiser.py
+++ b/modules/sd_samplers_cfg_denoiser.py
@@ -212,6 +212,11 @@ def apply_blend(current_latent):
         uncond = denoiser_params.text_uncond
         skip_uncond = False
 
+        if self.step < shared.opts.skip_cond_steps:
+            skip_uncond = True
+            x_in = x_in[:-batch_size]
+            sigma_in = sigma_in[:-batch_size]
+
         # alternating uncond allows for higher thresholds without the quality loss normally expected from raising it
         if self.step % 2 and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
             skip_uncond = True

From 8016d78a4b9c8bdd02b0031694ad56553f89161e Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Mon, 22 Apr 2024 23:42:24 -0400
Subject: [PATCH 019/125] add option for early cfg skip

---
 modules/shared_options.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/shared_options.py b/modules/shared_options.py
index 326a317e030..2f70ef65a0d 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -380,7 +380,8 @@
     'uni_pc_skip_type': OptionInfo("time_uniform", "UniPC skip type", gr.Radio, {"choices": ["time_uniform", "time_quadratic", "logSNR"]}, infotext='UniPC skip type'),
     'uni_pc_order': OptionInfo(3, "UniPC order", gr.Slider, {"minimum": 1, "maximum": 50, "step": 1}, infotext='UniPC order').info("must be < sampling steps"),
     'uni_pc_lower_order_final': OptionInfo(True, "UniPC lower order final", infotext='UniPC lower order final'),
-    'sd_noise_schedule': OptionInfo("Default", "Noise schedule for sampling", gr.Radio, {"choices": ["Default", "Zero Terminal SNR"]}, infotext="Noise Schedule").info("for use with zero terminal SNR trained models")
+    'sd_noise_schedule': OptionInfo("Default", "Noise schedule for sampling", gr.Radio, {"choices": ["Default", "Zero Terminal SNR"]}, infotext="Noise Schedule").info("for use with zero terminal SNR trained models"),
+    'skip_cond_steps': OptionInfo(0, "Skip CFG on first N steps of sampling", gr.Slider, {"minimum": 0, "maximum": 50, "step": 1}, infotext="Skip CFG first steps"),
 }))
 
 options_templates.update(options_section(('postprocessing', "Postprocessing", "postprocessing"), {

From 83266205d0b55ddbff34ea36b47f69c5ea11cc28 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Tue, 23 Apr 2024 00:09:43 -0400
Subject: [PATCH 020/125] Add KL Optimal scheduler

---
 modules/sd_schedulers.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
index 75eb3ac032f..10ae4e081f9 100644
--- a/modules/sd_schedulers.py
+++ b/modules/sd_schedulers.py
@@ -31,6 +31,15 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
     return torch.FloatTensor(sigs).to(device)
 
 
+def kl_optimal(n, sigma_min, sigma_max, device):
+    alpha_min = torch.arctan(torch.tensor(sigma_min, device=device))
+    alpha_max = torch.arctan(torch.tensor(sigma_max, device=device))
+    sigmas = torch.empty((n+1,), device=device)
+    for i in range(n+1):
+        sigmas[i] = torch.tan((i/n) * alpha_min + (1.0-i/n) * alpha_max)
+    return sigmas
+
+
 schedulers = [
     Scheduler('automatic', 'Automatic', None),
     Scheduler('uniform', 'Uniform', uniform, need_inner_model=True),
@@ -38,6 +47,7 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
     Scheduler('exponential', 'Exponential', k_diffusion.sampling.get_sigmas_exponential),
     Scheduler('polyexponential', 'Polyexponential', k_diffusion.sampling.get_sigmas_polyexponential, default_rho=1.0),
     Scheduler('sgm_uniform', 'SGM Uniform', sgm_uniform, need_inner_model=True, aliases=["SGMUniform"]),
+    Scheduler('kl_optimal', 'KL Optimal', kl_optimal),
 ]
 
 schedulers_map = {**{x.name: x for x in schedulers}, **{x.label: x for x in schedulers}}

From 83182d2799f12ee2b5e5425d750db062ad67eb90 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Tue, 23 Apr 2024 03:07:25 -0400
Subject: [PATCH 021/125] change skip early cond option name and to float

---
 modules/shared_options.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/shared_options.py b/modules/shared_options.py
index 2f70ef65a0d..91ba72b5ed6 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -381,7 +381,7 @@
     'uni_pc_order': OptionInfo(3, "UniPC order", gr.Slider, {"minimum": 1, "maximum": 50, "step": 1}, infotext='UniPC order').info("must be < sampling steps"),
     'uni_pc_lower_order_final': OptionInfo(True, "UniPC lower order final", infotext='UniPC lower order final'),
     'sd_noise_schedule': OptionInfo("Default", "Noise schedule for sampling", gr.Radio, {"choices": ["Default", "Zero Terminal SNR"]}, infotext="Noise Schedule").info("for use with zero terminal SNR trained models"),
-    'skip_cond_steps': OptionInfo(0, "Skip CFG on first N steps of sampling", gr.Slider, {"minimum": 0, "maximum": 50, "step": 1}, infotext="Skip CFG first steps"),
+    'skip_early_cond': OptionInfo(0, "Skip CFG during early sampling", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}, infotext="Skip Early CFG").info("CFG will be disabled (set to 1) on early steps, can both improve sample diversity/quality and speed up sampling"),
 }))
 
 options_templates.update(options_section(('postprocessing', "Postprocessing", "postprocessing"), {

From 6e9b69a33853e1bcee81cea6f01cf13de612fef7 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Tue, 23 Apr 2024 03:08:28 -0400
Subject: [PATCH 022/125] change skip_early_cond code to use float

---
 modules/sd_samplers_cfg_denoiser.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py
index 8ccc837aa13..fba5c48c03d 100644
--- a/modules/sd_samplers_cfg_denoiser.py
+++ b/modules/sd_samplers_cfg_denoiser.py
@@ -212,7 +212,7 @@ def apply_blend(current_latent):
         uncond = denoiser_params.text_uncond
         skip_uncond = False
 
-        if self.step < shared.opts.skip_cond_steps:
+        if self.step / self.total_steps <= shared.opts.skip_early_cond:
             skip_uncond = True
             x_in = x_in[:-batch_size]
             sigma_in = sigma_in[:-batch_size]

From 33cbbf9f8b46666a2325c98b723b6cb2ec192ef7 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Tue, 23 Apr 2024 03:15:00 -0400
Subject: [PATCH 023/125] add s_min_uncond_all option

---
 modules/shared_options.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/shared_options.py b/modules/shared_options.py
index 91ba72b5ed6..c711fa5f609 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -210,6 +210,7 @@
 options_templates.update(options_section(('optimizations', "Optimizations", "sd"), {
     "cross_attention_optimization": OptionInfo("Automatic", "Cross attention optimization", gr.Dropdown, lambda: {"choices": shared_items.cross_attention_optimizations()}),
     "s_min_uncond": OptionInfo(0.0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 15.0, "step": 0.01}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
+    "s_min_uncond_all": OptionInfo(False, "NGMS: Skip every step").info("makes Negative Guidance minimum sigma skip negative guidance on every step instead of only half"),
     "token_merging_ratio": OptionInfo(0.0, "Token merging ratio", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}, infotext='Token merging ratio').link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9256").info("0=disable, higher=faster"),
     "token_merging_ratio_img2img": OptionInfo(0.0, "Token merging ratio for img2img", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).info("only applies if non-zero and overrides above"),
     "token_merging_ratio_hr": OptionInfo(0.0, "Token merging ratio for high-res pass", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}, infotext='Token merging ratio hr').info("only applies if non-zero and overrides above"),

From 029adbe5318b57c04dbc0d92273cce38e1ecf457 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Tue, 23 Apr 2024 03:15:56 -0400
Subject: [PATCH 024/125] implement option to skip uncond on all steps below
 ngms

---
 modules/sd_samplers_cfg_denoiser.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py
index fba5c48c03d..082a4f63c63 100644
--- a/modules/sd_samplers_cfg_denoiser.py
+++ b/modules/sd_samplers_cfg_denoiser.py
@@ -218,7 +218,7 @@ def apply_blend(current_latent):
             sigma_in = sigma_in[:-batch_size]
 
         # alternating uncond allows for higher thresholds without the quality loss normally expected from raising it
-        if self.step % 2 and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
+        if (self.step % 2 or shared.opts.s_min_uncond_all) and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
             skip_uncond = True
             x_in = x_in[:-batch_size]
             sigma_in = sigma_in[:-batch_size]

From 50bb6e1179745799038b26a228b8acd8cacfffc5 Mon Sep 17 00:00:00 2001
From: pinanew <851673+pinanew@users.noreply.github.com>
Date: Tue, 23 Apr 2024 18:45:42 +0300
Subject: [PATCH 025/125] AVIF has quality setting too

---
 modules/images.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index c0ff8a6306a..f4eb6f71a2a 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -608,7 +608,7 @@ def save_image_with_geninfo(image, geninfo, filename, extension=None, existing_p
             })
 
 
-        image.save(filename,format=image_format, exif=exif_bytes)
+        image.save(filename,format=image_format, quality=opts.jpeg_quality, exif=exif_bytes)
     elif extension.lower() == ".gif":
         image.save(filename, format=image_format, comment=geninfo)
     else:

From 8fa3fa76c39200e2af63ab86926c0c20cf02eb25 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Wed, 24 Apr 2024 02:41:31 +0900
Subject: [PATCH 026/125] fix exif_bytes referenced before assignment

---
 modules/images.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index f4eb6f71a2a..36b610322a1 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -606,7 +606,8 @@ def save_image_with_geninfo(image, geninfo, filename, extension=None, existing_p
                     piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(geninfo or "", encoding="unicode")
                 },
             })
-
+        else:
+            exif_bytes = None
 
         image.save(filename,format=image_format, quality=opts.jpeg_quality, exif=exif_bytes)
     elif extension.lower() == ".gif":

From 1091e3a37eb363d6ac5f4d3eb596526a85dea551 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Wed, 24 Apr 2024 02:54:26 +0900
Subject: [PATCH 027/125] update jpeg_quality description

---
 modules/shared_options.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/shared_options.py b/modules/shared_options.py
index 326a317e030..98d477f5255 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -54,7 +54,7 @@
     "save_images_before_color_correction": OptionInfo(False, "Save a copy of image before applying color correction to img2img results"),
     "save_mask": OptionInfo(False, "For inpainting, save a copy of the greyscale mask"),
     "save_mask_composite": OptionInfo(False, "For inpainting, save a masked composite"),
-    "jpeg_quality": OptionInfo(80, "Quality for saved jpeg images", gr.Slider, {"minimum": 1, "maximum": 100, "step": 1}),
+    "jpeg_quality": OptionInfo(80, "Quality for saved jpeg and avif images", gr.Slider, {"minimum": 1, "maximum": 100, "step": 1}),
     "webp_lossless": OptionInfo(False, "Use lossless compression for webp images"),
     "export_for_4chan": OptionInfo(True, "Save copy of large images as JPG").info("if the file size is above the limit, or either width or height are above the limit"),
     "img_downscale_threshold": OptionInfo(4.0, "File size limit for the above option, MB", gr.Number),

From e85e327ae0409a6c7e6f98011465f07290b78567 Mon Sep 17 00:00:00 2001
From: Andray <light.and.ray@gmail.com>
Date: Thu, 25 Apr 2024 13:26:26 +0400
Subject: [PATCH 028/125] more extension tag filtering options

---
 modules/ui_extensions.py | 68 +++++++++++++++++++++++++++-------------
 1 file changed, 47 insertions(+), 21 deletions(-)

diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
index d822c0b8920..9bfd5f3b350 100644
--- a/modules/ui_extensions.py
+++ b/modules/ui_extensions.py
@@ -396,15 +396,15 @@ def install_extension_from_url(dirname, url, branch_name=None):
         shutil.rmtree(tmpdir, True)
 
 
-def install_extension_from_index(url, hide_tags, sort_column, filter_text):
+def install_extension_from_index(url, selected_tags, showing_type, filtering_type, sort_column, filter_text):
     ext_table, message = install_extension_from_url(None, url)
 
-    code, _ = refresh_available_extensions_from_data(hide_tags, sort_column, filter_text)
+    code, _ = refresh_available_extensions_from_data(selected_tags, showing_type, filtering_type, sort_column, filter_text)
 
     return code, ext_table, message, ''
 
 
-def refresh_available_extensions(url, hide_tags, sort_column):
+def refresh_available_extensions(url, selected_tags, showing_type, filtering_type, sort_column):
     global available_extensions
 
     import urllib.request
@@ -413,19 +413,19 @@ def refresh_available_extensions(url, hide_tags, sort_column):
 
     available_extensions = json.loads(text)
 
-    code, tags = refresh_available_extensions_from_data(hide_tags, sort_column)
+    code, tags = refresh_available_extensions_from_data(selected_tags, showing_type, filtering_type, sort_column)
 
     return url, code, gr.CheckboxGroup.update(choices=tags), '', ''
 
 
-def refresh_available_extensions_for_tags(hide_tags, sort_column, filter_text):
-    code, _ = refresh_available_extensions_from_data(hide_tags, sort_column, filter_text)
+def refresh_available_extensions_for_tags(selected_tags, showing_type, filtering_type, sort_column, filter_text):
+    code, _ = refresh_available_extensions_from_data(selected_tags, showing_type, filtering_type, sort_column, filter_text)
 
     return code, ''
 
 
-def search_extensions(filter_text, hide_tags, sort_column):
-    code, _ = refresh_available_extensions_from_data(hide_tags, sort_column, filter_text)
+def search_extensions(filter_text, selected_tags, showing_type, filtering_type, sort_column):
+    code, _ = refresh_available_extensions_from_data(selected_tags, showing_type, filtering_type, sort_column, filter_text)
 
     return code, ''
 
@@ -450,13 +450,13 @@ def get_date(info: dict, key):
         return ''
 
 
-def refresh_available_extensions_from_data(hide_tags, sort_column, filter_text=""):
+def refresh_available_extensions_from_data(selected_tags, showing_type, filtering_type, sort_column, filter_text=""):
     extlist = available_extensions["extensions"]
     installed_extensions = {extension.name for extension in extensions.extensions}
     installed_extension_urls = {normalize_git_url(extension.remote) for extension in extensions.extensions if extension.remote is not None}
 
     tags = available_extensions.get("tags", {})
-    tags_to_hide = set(hide_tags)
+    selected_tags = set(selected_tags)
     hidden = 0
 
     code = f"""<!-- {time.time()} -->
@@ -489,9 +489,19 @@ def refresh_available_extensions_from_data(hide_tags, sort_column, filter_text="
         existing = get_extension_dirname_from_url(url) in installed_extensions or normalize_git_url(url) in installed_extension_urls
         extension_tags = extension_tags + ["installed"] if existing else extension_tags
 
-        if any(x for x in extension_tags if x in tags_to_hide):
-            hidden += 1
-            continue
+        if len(selected_tags) > 0:
+            matched_tags = [x for x in extension_tags if x in selected_tags]
+            if filtering_type == 'or':
+                need_hide = len(matched_tags) > 0
+            else:
+                need_hide = len(matched_tags) == len(selected_tags)
+
+            if showing_type == 'show':
+                need_hide = not need_hide
+
+            if need_hide:
+                hidden += 1
+                continue
 
         if filter_text and filter_text.strip():
             if filter_text.lower() not in html.escape(name).lower() and filter_text.lower() not in html.escape(description).lower():
@@ -594,9 +604,13 @@ def create_ui():
                     install_extension_button = gr.Button(elem_id="install_extension_button", visible=False)
 
                 with gr.Row():
-                    hide_tags = gr.CheckboxGroup(value=["ads", "localization", "installed"], label="Hide extensions with tags", choices=["script", "ads", "localization", "installed"])
+                    selected_tags = gr.CheckboxGroup(value=["ads", "localization", "installed"], label="Extension tags", choices=["script", "ads", "localization", "installed"])
                     sort_column = gr.Radio(value="newest first", label="Order", choices=["newest first", "oldest first", "a-z", "z-a", "internal order",'update time', 'create time', "stars"], type="index")
 
+                with gr.Row():
+                    showing_type = gr.Radio(value="hide", label="Showing type", choices=["hide", "show"])
+                    filtering_type = gr.Radio(value="or", label="Filtering type", choices=["or", "and"])
+
                 with gr.Row():
                     search_extensions_text = gr.Text(label="Search", container=False)
 
@@ -605,31 +619,43 @@ def create_ui():
 
                 refresh_available_extensions_button.click(
                     fn=modules.ui.wrap_gradio_call(refresh_available_extensions, extra_outputs=[gr.update(), gr.update(), gr.update(), gr.update()]),
-                    inputs=[available_extensions_index, hide_tags, sort_column],
-                    outputs=[available_extensions_index, available_extensions_table, hide_tags, search_extensions_text, install_result],
+                    inputs=[available_extensions_index, selected_tags, showing_type, filtering_type, sort_column],
+                    outputs=[available_extensions_index, available_extensions_table, selected_tags, search_extensions_text, install_result],
                 )
 
                 install_extension_button.click(
                     fn=modules.ui.wrap_gradio_call(install_extension_from_index, extra_outputs=[gr.update(), gr.update()]),
-                    inputs=[extension_to_install, hide_tags, sort_column, search_extensions_text],
+                    inputs=[extension_to_install, selected_tags, showing_type, filtering_type, sort_column, search_extensions_text],
                     outputs=[available_extensions_table, extensions_table, install_result],
                 )
 
                 search_extensions_text.change(
                     fn=modules.ui.wrap_gradio_call(search_extensions, extra_outputs=[gr.update()]),
-                    inputs=[search_extensions_text, hide_tags, sort_column],
+                    inputs=[search_extensions_text, selected_tags, showing_type, filtering_type, sort_column],
                     outputs=[available_extensions_table, install_result],
                 )
 
-                hide_tags.change(
+                selected_tags.change(
+                    fn=modules.ui.wrap_gradio_call(refresh_available_extensions_for_tags, extra_outputs=[gr.update()]),
+                    inputs=[selected_tags, showing_type, filtering_type, sort_column, search_extensions_text],
+                    outputs=[available_extensions_table, install_result]
+                )
+
+                showing_type.change(
+                    fn=modules.ui.wrap_gradio_call(refresh_available_extensions_for_tags, extra_outputs=[gr.update()]),
+                    inputs=[selected_tags, showing_type, filtering_type, sort_column, search_extensions_text],
+                    outputs=[available_extensions_table, install_result]
+                )
+
+                filtering_type.change(
                     fn=modules.ui.wrap_gradio_call(refresh_available_extensions_for_tags, extra_outputs=[gr.update()]),
-                    inputs=[hide_tags, sort_column, search_extensions_text],
+                    inputs=[selected_tags, showing_type, filtering_type, sort_column, search_extensions_text],
                     outputs=[available_extensions_table, install_result]
                 )
 
                 sort_column.change(
                     fn=modules.ui.wrap_gradio_call(refresh_available_extensions_for_tags, extra_outputs=[gr.update()]),
-                    inputs=[hide_tags, sort_column, search_extensions_text],
+                    inputs=[selected_tags, showing_type, filtering_type, sort_column, search_extensions_text],
                     outputs=[available_extensions_table, install_result]
                 )
 

From d5f6fdb3c44204495067d4166a6a980a9f1165ed Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Fri, 26 Apr 2024 18:47:04 +0900
Subject: [PATCH 029/125] compact-checkbox-group

---
 modules/ui_extensions.py | 8 ++++----
 style.css                | 4 ++++
 2 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
index 9bfd5f3b350..6b6403f23d6 100644
--- a/modules/ui_extensions.py
+++ b/modules/ui_extensions.py
@@ -604,12 +604,12 @@ def create_ui():
                     install_extension_button = gr.Button(elem_id="install_extension_button", visible=False)
 
                 with gr.Row():
-                    selected_tags = gr.CheckboxGroup(value=["ads", "localization", "installed"], label="Extension tags", choices=["script", "ads", "localization", "installed"])
-                    sort_column = gr.Radio(value="newest first", label="Order", choices=["newest first", "oldest first", "a-z", "z-a", "internal order",'update time', 'create time', "stars"], type="index")
+                    selected_tags = gr.CheckboxGroup(value=["ads", "localization", "installed"], label="Extension tags", choices=["script", "ads", "localization", "installed"], elem_classes=['compact-checkbox-group'])
+                    sort_column = gr.Radio(value="newest first", label="Order", choices=["newest first", "oldest first", "a-z", "z-a", "internal order",'update time', 'create time', "stars"], type="index", elem_classes=['compact-checkbox-group'])
 
                 with gr.Row():
-                    showing_type = gr.Radio(value="hide", label="Showing type", choices=["hide", "show"])
-                    filtering_type = gr.Radio(value="or", label="Filtering type", choices=["or", "and"])
+                    showing_type = gr.Radio(value="hide", label="Showing type", choices=["hide", "show"], elem_classes=['compact-checkbox-group'])
+                    filtering_type = gr.Radio(value="or", label="Filtering type", choices=["or", "and"], elem_classes=['compact-checkbox-group'])
 
                 with gr.Row():
                     search_extensions_text = gr.Text(label="Search", container=False)
diff --git a/style.css b/style.css
index f6a89b8f90d..cca5456ccea 100644
--- a/style.css
+++ b/style.css
@@ -854,6 +854,10 @@ table.popup-table .link{
     display: inline-block;
 }
 
+.compact-checkbox-group  div label {
+    padding: 0.1em 0.3em !important;
+}
+
 /* extensions tab table row hover highlight */
 
 #extensions tr:hover td,

From 3902aa222b00a24f2d7b7158b79efaac9f318923 Mon Sep 17 00:00:00 2001
From: Brendan Hoar <brendan.hoar@gmail.com>
Date: Fri, 26 Apr 2024 06:44:41 -0400
Subject: [PATCH 030/125] Better error handling to skip non-standard
 ss_tag_frequency content

---
 extensions-builtin/Lora/ui_edit_user_metadata.py | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/extensions-builtin/Lora/ui_edit_user_metadata.py b/extensions-builtin/Lora/ui_edit_user_metadata.py
index 7a07a544e28..b6c4d1c6acb 100644
--- a/extensions-builtin/Lora/ui_edit_user_metadata.py
+++ b/extensions-builtin/Lora/ui_edit_user_metadata.py
@@ -21,10 +21,12 @@ def is_non_comma_tagset(tags):
 def build_tags(metadata):
     tags = {}
 
-    for _, tags_dict in metadata.get("ss_tag_frequency", {}).items():
-        for tag, tag_count in tags_dict.items():
-            tag = tag.strip()
-            tags[tag] = tags.get(tag, 0) + int(tag_count)
+    ss_tag_frequency = metadata.get("ss_tag_frequency", {})
+    if ss_tag_frequency is not None and hasattr(ss_tag_frequency, 'items'):
+        for _, tags_dict in ss_tag_frequency.items():
+            for tag, tag_count in tags_dict.items():
+                tag = tag.strip()
+                tags[tag] = tags.get(tag, 0) + int(tag_count)
 
     if tags and is_non_comma_tagset(tags):
         new_tags = {}

From 8dc920228e7c5181cc990845f0febd2ac4b42d87 Mon Sep 17 00:00:00 2001
From: Brendan Hoar <brendan.hoar@gmail.com>
Date: Fri, 26 Apr 2024 06:52:21 -0400
Subject: [PATCH 031/125] Better error handling when unable to read metadata
 from safetensors file

---
 modules/sd_models.py | 22 +++++++++++++---------
 1 file changed, 13 insertions(+), 9 deletions(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index ff245b7a668..59742d31118 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -280,18 +280,22 @@ def read_metadata_from_safetensors(filename):
         json_start = file.read(2)
 
         assert metadata_len > 2 and json_start in (b'{"', b"{'"), f"{filename} is not a safetensors file"
-        json_data = json_start + file.read(metadata_len-2)
-        json_obj = json.loads(json_data)
 
         res = {}
-        for k, v in json_obj.get("__metadata__", {}).items():
-            res[k] = v
-            if isinstance(v, str) and v[0:1] == '{':
-                try:
-                    res[k] = json.loads(v)
-                except Exception:
-                    pass
 
+        try:
+            json_data = json_start + file.read(metadata_len-2)
+            json_obj = json.loads(json_data)
+            for k, v in json_obj.get("__metadata__", {}).items():
+                res[k] = v
+                if isinstance(v, str) and v[0:1] == '{':
+                    try:
+                        res[k] = json.loads(v)
+                    except Exception:
+                        pass
+        except:
+             errors.report(f"Error reading metadata from file: {filename}", exc_info=True)
+            
         return res
 
 

From c5b7559856c5f64792c2425d11890a121497e6bc Mon Sep 17 00:00:00 2001
From: Brendan Hoar <brendan.hoar@gmail.com>
Date: Fri, 26 Apr 2024 06:57:32 -0400
Subject: [PATCH 032/125] Better error handling when unable to extract contents
 of embedding/TI file

---
 modules/textual_inversion/textual_inversion.py | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 253f219c4ec..dc7833e9394 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -181,12 +181,16 @@ def load_from_file(self, path, filename):
         else:
             return
 
-        embedding = create_embedding_from_data(data, name, filename=filename, filepath=path)
+        if data is not None:
+            embedding = create_embedding_from_data(data, name, filename=filename, filepath=path)
 
-        if self.expected_shape == -1 or self.expected_shape == embedding.shape:
-            self.register_embedding(embedding, shared.sd_model)
+            if self.expected_shape == -1 or self.expected_shape == embedding.shape:
+                self.register_embedding(embedding, shared.sd_model)
+            else:
+                self.skipped_embeddings[name] = embedding
         else:
-            self.skipped_embeddings[name] = embedding
+            print(f"Unable to load Textual inversion embedding due to data issue: '{name}'.")
+
 
     def load_from_dir(self, embdir):
         if not os.path.isdir(embdir.path):

From c5ae2254182b803618a4b01c12fa88c42642e806 Mon Sep 17 00:00:00 2001
From: Brendan Hoar <brendan.hoar@gmail.com>
Date: Fri, 26 Apr 2024 07:55:39 -0400
Subject: [PATCH 033/125] Better handling of embeddings with two rare, but not
 unusual, files in them

I have encountered pickled embeddings with a short byteorder file at the top-level, as well as a .data/serialization_id file.

Both load fine after allowing these files in the dataset.

I do not think it is likely adding them to the safe unpickle regular expression would be a security risk, but that's for the maintainers to decide.
---
 modules/safe.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/safe.py b/modules/safe.py
index b1d08a7928e..ee8789268d9 100644
--- a/modules/safe.py
+++ b/modules/safe.py
@@ -65,7 +65,7 @@ def find_class(self, module, name):
 
 
 # Regular expression that accepts 'dirname/version', 'dirname/data.pkl', and 'dirname/data/<number>'
-allowed_zip_names_re = re.compile(r"^([^/]+)/((data/\d+)|version|(data\.pkl))$")
+allowed_zip_names_re = re.compile(r"^([^/]+)/((data/\d+)|byteorder|(\.data\/serialization_id)|version|(data\.pkl))$")
 data_pkl_re = re.compile(r"^([^/]+)/data\.pkl$")
 
 def check_zip_filenames(filename, names):

From 44afb48447c2ef40f8546fe704bd817881da5a14 Mon Sep 17 00:00:00 2001
From: Brendan Hoar <brendan.hoar@gmail.com>
Date: Fri, 26 Apr 2024 08:17:37 -0400
Subject: [PATCH 034/125] Linter fix - extraneous whitespace

---
 modules/sd_models.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index 59742d31118..06e881207ab 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -295,7 +295,7 @@ def read_metadata_from_safetensors(filename):
                         pass
         except:
              errors.report(f"Error reading metadata from file: {filename}", exc_info=True)
-            
+
         return res
 
 

From 60c079995824ebe861029839ee12ca0df6a26e8d Mon Sep 17 00:00:00 2001
From: Brendan Hoar <brendan.hoar@gmail.com>
Date: Fri, 26 Apr 2024 08:21:12 -0400
Subject: [PATCH 035/125] Linter - except must not be bare.

---
 modules/sd_models.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index 06e881207ab..06a7cf3f0a5 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -293,7 +293,7 @@ def read_metadata_from_safetensors(filename):
                         res[k] = json.loads(v)
                     except Exception:
                         pass
-        except:
+        except Exception:
              errors.report(f"Error reading metadata from file: {filename}", exc_info=True)
 
         return res

From 9d964d3fc3285b3df877479081968ebf6dbccce4 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 27 Apr 2024 19:21:34 +0900
Subject: [PATCH 036/125] no-referrer

---
 modules/ui_gradio_extensions.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/ui_gradio_extensions.py b/modules/ui_gradio_extensions.py
index f5278d22f02..18fbd6777e2 100644
--- a/modules/ui_gradio_extensions.py
+++ b/modules/ui_gradio_extensions.py
@@ -50,7 +50,7 @@ def reload_javascript():
 
     def template_response(*args, **kwargs):
         res = shared.GradioTemplateResponseOriginal(*args, **kwargs)
-        res.body = res.body.replace(b'</head>', f'{js}</head>'.encode("utf8"))
+        res.body = res.body.replace(b'</head>', f'{js}<meta name="referrer" content="no-referrer"/></head>'.encode("utf8"))
         res.body = res.body.replace(b'</body>', f'{css}</body>'.encode("utf8"))
         res.init_headers()
         return res

From 3a215deff23d28c06c8de98423c12628b8ce6326 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Sun, 28 Apr 2024 00:15:58 -0400
Subject: [PATCH 037/125] vectorize kl-optimal sigma calculation

Co-authored-by: mamei16 <marcel.1710@live.de>
---
 modules/sd_schedulers.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
index 10ae4e081f9..99a6f7be26a 100644
--- a/modules/sd_schedulers.py
+++ b/modules/sd_schedulers.py
@@ -34,9 +34,8 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
 def kl_optimal(n, sigma_min, sigma_max, device):
     alpha_min = torch.arctan(torch.tensor(sigma_min, device=device))
     alpha_max = torch.arctan(torch.tensor(sigma_max, device=device))
-    sigmas = torch.empty((n+1,), device=device)
-    for i in range(n+1):
-        sigmas[i] = torch.tan((i/n) * alpha_min + (1.0-i/n) * alpha_max)
+    step_indices = torch.arange(n + 1, device=device)
+    sigmas = torch.tan(step_indices / n * alpha_min + (1.0 - step_indices / n) * alpha_max)
     return sigmas
 
 

From 3d3fc81f4858cae75fa33e55e7b88ede853d28ae Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Sun, 28 Apr 2024 16:14:12 -0400
Subject: [PATCH 038/125] Add correct mimetype for .mjs files

---
 modules/ui.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/ui.py b/modules/ui.py
index 403425f2985..c6c058fea7a 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -38,6 +38,7 @@
 # this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
 mimetypes.init()
 mimetypes.add_type('application/javascript', '.js')
+mimetypes.add_type('application/javascript', '.mjs')
 
 # Likewise, add explicit content-type header for certain missing image types
 mimetypes.add_type('image/webp', '.webp')

From 579f1ef278080ff7545be3a42c5fe36fc2890887 Mon Sep 17 00:00:00 2001
From: missionfloyd <missionfloyd@users.noreply.github.com>
Date: Sun, 28 Apr 2024 22:36:43 -0600
Subject: [PATCH 039/125] Allow old sampler names in API

---
 modules/api/api.py | 21 +++++++++++++++++++--
 1 file changed, 19 insertions(+), 2 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index f468c385275..b1201fe778e 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -48,6 +48,15 @@ def validate_sampler_name(name):
     return name
 
 
+def parse_old_sampler_name(name):
+    for scheduler in sd_schedulers.schedulers:
+        for scheduler_name in [scheduler.label, scheduler.name, *(scheduler.aliases or [])]:
+            if name.endswith(" " + scheduler_name):
+                return name[0:-(len(scheduler_name) + 1)], scheduler_name
+
+    return name, "Automatic"
+
+
 def setUpscalers(req: dict):
     reqDict = vars(req)
     reqDict['extras_upscaler_1'] = reqDict.pop('upscaler_1', None)
@@ -438,15 +447,19 @@ def text2imgapi(self, txt2imgreq: models.StableDiffusionTxt2ImgProcessingAPI):
         self.apply_infotext(txt2imgreq, "txt2img", script_runner=script_runner, mentioned_script_args=infotext_script_args)
 
         selectable_scripts, selectable_script_idx = self.get_selectable_script(txt2imgreq.script_name, script_runner)
+        sampler, scheduler = parse_old_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index)
 
         populate = txt2imgreq.copy(update={  # Override __init__ params
-            "sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
+            "sampler_name": validate_sampler_name(sampler),
             "do_not_save_samples": not txt2imgreq.save_images,
             "do_not_save_grid": not txt2imgreq.save_images,
         })
         if populate.sampler_name:
             populate.sampler_index = None  # prevent a warning later on
 
+        if not populate.scheduler:
+            populate.scheduler = scheduler
+
         args = vars(populate)
         args.pop('script_name', None)
         args.pop('script_args', None) # will refeed them to the pipeline directly after initializing them
@@ -502,9 +515,10 @@ def img2imgapi(self, img2imgreq: models.StableDiffusionImg2ImgProcessingAPI):
         self.apply_infotext(img2imgreq, "img2img", script_runner=script_runner, mentioned_script_args=infotext_script_args)
 
         selectable_scripts, selectable_script_idx = self.get_selectable_script(img2imgreq.script_name, script_runner)
+        sampler, scheduler = parse_old_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index)
 
         populate = img2imgreq.copy(update={  # Override __init__ params
-            "sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index),
+            "sampler_name": validate_sampler_name(sampler),
             "do_not_save_samples": not img2imgreq.save_images,
             "do_not_save_grid": not img2imgreq.save_images,
             "mask": mask,
@@ -512,6 +526,9 @@ def img2imgapi(self, img2imgreq: models.StableDiffusionImg2ImgProcessingAPI):
         if populate.sampler_name:
             populate.sampler_index = None  # prevent a warning later on
 
+        if not populate.scheduler:
+            populate.scheduler = scheduler
+
         args = vars(populate)
         args.pop('include_init_images', None)  # this is meant to be done by "exclude": True in model, but it's for a reason that I cannot determine.
         args.pop('script_name', None)

From 4c7b22d37d14c8469b4510a11710f162940cdaa6 Mon Sep 17 00:00:00 2001
From: missionfloyd <missionfloyd@users.noreply.github.com>
Date: Sun, 28 Apr 2024 22:46:11 -0600
Subject: [PATCH 040/125] Fix dragging text within prompt input

---
 javascript/dragdrop.js | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/javascript/dragdrop.js b/javascript/dragdrop.js
index 0c018356419..882562d7367 100644
--- a/javascript/dragdrop.js
+++ b/javascript/dragdrop.js
@@ -56,6 +56,15 @@ function eventHasFiles(e) {
     return false;
 }
 
+function isURL(url) {
+    try {
+        const _ = new URL(url);
+        return true;
+    } catch {
+        return false;
+    }
+}
+
 function dragDropTargetIsPrompt(target) {
     if (target?.placeholder && target?.placeholder.indexOf("Prompt") >= 0) return true;
     if (target?.parentNode?.parentNode?.className?.indexOf("prompt") > 0) return true;
@@ -77,7 +86,7 @@ window.document.addEventListener('dragover', e => {
 window.document.addEventListener('drop', async e => {
     const target = e.composedPath()[0];
     const url = e.dataTransfer.getData('text/uri-list') || e.dataTransfer.getData('text/plain');
-    if (!eventHasFiles(e) && !url) return;
+    if (!eventHasFiles(e) && !isURL(url)) return;
 
     if (dragDropTargetIsPrompt(target)) {
         e.stopPropagation();

From c8336c45b98c2226923503e17b1d7f9170af0f8a Mon Sep 17 00:00:00 2001
From: missionfloyd <missionfloyd@users.noreply.github.com>
Date: Tue, 30 Apr 2024 01:53:41 -0600
Subject: [PATCH 041/125] Use existing function for old sampler names

---
 modules/api/api.py | 17 ++++-------------
 1 file changed, 4 insertions(+), 13 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index b1201fe778e..d8e54529b40 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -48,15 +48,6 @@ def validate_sampler_name(name):
     return name
 
 
-def parse_old_sampler_name(name):
-    for scheduler in sd_schedulers.schedulers:
-        for scheduler_name in [scheduler.label, scheduler.name, *(scheduler.aliases or [])]:
-            if name.endswith(" " + scheduler_name):
-                return name[0:-(len(scheduler_name) + 1)], scheduler_name
-
-    return name, "Automatic"
-
-
 def setUpscalers(req: dict):
     reqDict = vars(req)
     reqDict['extras_upscaler_1'] = reqDict.pop('upscaler_1', None)
@@ -447,7 +438,7 @@ def text2imgapi(self, txt2imgreq: models.StableDiffusionTxt2ImgProcessingAPI):
         self.apply_infotext(txt2imgreq, "txt2img", script_runner=script_runner, mentioned_script_args=infotext_script_args)
 
         selectable_scripts, selectable_script_idx = self.get_selectable_script(txt2imgreq.script_name, script_runner)
-        sampler, scheduler = parse_old_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index)
+        sampler, scheduler = sd_samplers.get_sampler_and_scheduler(txt2imgreq.sampler_name or txt2imgreq.sampler_index, txt2imgreq.scheduler)
 
         populate = txt2imgreq.copy(update={  # Override __init__ params
             "sampler_name": validate_sampler_name(sampler),
@@ -457,7 +448,7 @@ def text2imgapi(self, txt2imgreq: models.StableDiffusionTxt2ImgProcessingAPI):
         if populate.sampler_name:
             populate.sampler_index = None  # prevent a warning later on
 
-        if not populate.scheduler:
+        if not populate.scheduler and scheduler != "Automatic":
             populate.scheduler = scheduler
 
         args = vars(populate)
@@ -515,7 +506,7 @@ def img2imgapi(self, img2imgreq: models.StableDiffusionImg2ImgProcessingAPI):
         self.apply_infotext(img2imgreq, "img2img", script_runner=script_runner, mentioned_script_args=infotext_script_args)
 
         selectable_scripts, selectable_script_idx = self.get_selectable_script(img2imgreq.script_name, script_runner)
-        sampler, scheduler = parse_old_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index)
+        sampler, scheduler = sd_samplers.get_sampler_and_scheduler(img2imgreq.sampler_name or img2imgreq.sampler_index, img2imgreq.scheduler)
 
         populate = img2imgreq.copy(update={  # Override __init__ params
             "sampler_name": validate_sampler_name(sampler),
@@ -526,7 +517,7 @@ def img2imgapi(self, img2imgreq: models.StableDiffusionImg2ImgProcessingAPI):
         if populate.sampler_name:
             populate.sampler_index = None  # prevent a warning later on
 
-        if not populate.scheduler:
+        if not populate.scheduler and scheduler != "Automatic":
             populate.scheduler = scheduler
 
         args = vars(populate)

From 9d393807056199deade14154d885fcd07dee24b7 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Tue, 30 Apr 2024 19:17:53 +0900
Subject: [PATCH 042/125] fix extra batch mode P Transparency

red, green, blue = transparency TypeError: cannot unpack non-iterable int object
---
 modules/postprocessing.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/modules/postprocessing.py b/modules/postprocessing.py
index 812cbccae9a..8ec122b7c9d 100644
--- a/modules/postprocessing.py
+++ b/modules/postprocessing.py
@@ -62,11 +62,13 @@ def get_images(extras_mode, image, image_folder, input_dir):
         else:
             image_data = image_placeholder
 
+        image_data = image_data if image_data.mode in ("RGBA", "RGB") else image_data.convert("RGB")
+
         parameters, existing_pnginfo = images.read_info_from_image(image_data)
         if parameters:
             existing_pnginfo["parameters"] = parameters
 
-        initial_pp = scripts_postprocessing.PostprocessedImage(image_data if image_data.mode in ("RGBA", "RGB") else image_data.convert("RGB"))
+        initial_pp = scripts_postprocessing.PostprocessedImage(image_data)
 
         scripts.scripts_postproc.run(initial_pp, args)
 

From 89103b47475ba7bb8b9c4b36f8078c6416132ab0 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Wed, 1 May 2024 19:41:02 +0900
Subject: [PATCH 043/125] lora bundled TI infotext

Co-Authored-By: Morgon Kanter <9632805+mx@users.noreply.github.com>
---
 extensions-builtin/Lora/networks.py            | 9 +++++++++
 extensions-builtin/Lora/scripts/lora_script.py | 1 +
 2 files changed, 10 insertions(+)

diff --git a/extensions-builtin/Lora/networks.py b/extensions-builtin/Lora/networks.py
index 42b14dc239d..aa55fe242b1 100644
--- a/extensions-builtin/Lora/networks.py
+++ b/extensions-builtin/Lora/networks.py
@@ -143,6 +143,14 @@ def assign_network_names_to_compvis_modules(sd_model):
     sd_model.network_layer_mapping = network_layer_mapping
 
 
+class BundledTIHash(str):
+    def __init__(self, hash_str):
+        self.hash = hash_str
+
+    def __str__(self):
+        return self.hash if shared.opts.lora_bundled_ti_to_infotext else ''
+
+
 def load_network(name, network_on_disk):
     net = network.Network(name, network_on_disk)
     net.mtime = os.path.getmtime(network_on_disk.filename)
@@ -229,6 +237,7 @@ def load_network(name, network_on_disk):
     for emb_name, data in bundle_embeddings.items():
         embedding = textual_inversion.create_embedding_from_data(data, emb_name, filename=network_on_disk.filename + "/" + emb_name)
         embedding.loaded = None
+        embedding.shorthash = BundledTIHash(name)
         embeddings[emb_name] = embedding
 
     net.bundle_embeddings = embeddings
diff --git a/extensions-builtin/Lora/scripts/lora_script.py b/extensions-builtin/Lora/scripts/lora_script.py
index 1518f7e5c89..d3ea369ae26 100644
--- a/extensions-builtin/Lora/scripts/lora_script.py
+++ b/extensions-builtin/Lora/scripts/lora_script.py
@@ -36,6 +36,7 @@ def before_ui():
     "sd_lora": shared.OptionInfo("None", "Add network to prompt", gr.Dropdown, lambda: {"choices": ["None", *networks.available_networks]}, refresh=networks.list_available_networks),
     "lora_preferred_name": shared.OptionInfo("Alias from file", "When adding to prompt, refer to Lora by", gr.Radio, {"choices": ["Alias from file", "Filename"]}),
     "lora_add_hashes_to_infotext": shared.OptionInfo(True, "Add Lora hashes to infotext"),
+    "lora_bundled_ti_to_infotext": shared.OptionInfo(True, "Add Lora name as TI hashes for bundled Textual Inversion").info('"Add Textual Inversion hashes to infotext" needs to be enabled'),
     "lora_show_all": shared.OptionInfo(False, "Always show all networks on the Lora page").info("otherwise, those detected as for incompatible version of Stable Diffusion will be hidden"),
     "lora_hide_unknown_for_versions": shared.OptionInfo([], "Hide networks of unknown versions for model versions", gr.CheckboxGroup, {"choices": ["SD1", "SD2", "SDXL"]}),
     "lora_in_memory_limit": shared.OptionInfo(0, "Number of Lora networks to keep cached in memory", gr.Number, {"precision": 0}),

From 0e0e41eabc5753034091e7c673100df66b3640ab Mon Sep 17 00:00:00 2001
From: Andray <light.and.ray@gmail.com>
Date: Wed, 1 May 2024 16:54:47 +0400
Subject: [PATCH 044/125] use gradio theme colors in css

---
 style.css | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/style.css b/style.css
index f6a89b8f90d..df4aca020bc 100644
--- a/style.css
+++ b/style.css
@@ -780,9 +780,9 @@ table.popup-table .link{
     position:absolute;
     display:block;
     padding:0px 0;
-    border:2px solid #a55000;
+    border:2px solid var(--primary-800);
     border-radius:8px;
-    box-shadow:1px 1px 2px #CE6400;
+    box-shadow:1px 1px 2px var(--primary-500);
     width: 200px;
 }
 
@@ -799,7 +799,7 @@ table.popup-table .link{
 }
 
 .context-menu-items a:hover{
-    background: #a55000;
+    background: var(--primary-700);
 }
 
 

From 5d5224b322e8dbd817469a32d6c5578faff2df2f Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Thu, 2 May 2024 02:25:16 +0900
Subject: [PATCH 045/125] fix_p_invalid_sampler_and_scheduler

---
 modules/processing.py  | 3 +++
 modules/sd_samplers.py | 9 ++++++++-
 2 files changed, 11 insertions(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index 76557dd7f5e..cb646e2bfb3 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -842,6 +842,9 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
 
         sd_models.apply_token_merging(p.sd_model, p.get_token_merging_ratio())
 
+        # backwards compatibility, fix sampler and scheduler if invalid
+        sd_samplers.fix_p_invalid_sampler_and_scheduler(p)
+
         res = process_images_inner(p)
 
     finally:
diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 6b7b84b6d76..b8abac4a998 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import functools
-
+import logging
 from modules import sd_samplers_kdiffusion, sd_samplers_timesteps, sd_samplers_lcm, shared, sd_samplers_common, sd_schedulers
 
 # imports for functions that previously were here and are used by other modules
@@ -122,4 +122,11 @@ def get_sampler_and_scheduler(sampler_name, scheduler_name):
     return sampler.name, found_scheduler.label
 
 
+def fix_p_invalid_sampler_and_scheduler(p):
+    i_sampler_name, i_scheduler = p.sampler_name, p.scheduler
+    p.sampler_name, p.scheduler = get_sampler_and_scheduler(p.sampler_name, p.scheduler)
+    if p.sampler_name != i_sampler_name or i_scheduler != p.scheduler:
+        logging.warning(f'Sampler Scheduler autocorrection: "{i_sampler_name}" -> "{p.sampler_name}", "{i_scheduler}" -> "{p.scheduler}"')
+
+
 set_samplers()

From 7195c4d42cf410c53d4d2f7a74d7059715d357a7 Mon Sep 17 00:00:00 2001
From: Andray <light.and.ray@gmail.com>
Date: Wed, 1 May 2024 22:50:46 +0400
Subject: [PATCH 046/125] two fingers press to open context menu

---
 javascript/contextMenus.js | 25 ++++++++++++++++---------
 1 file changed, 16 insertions(+), 9 deletions(-)

diff --git a/javascript/contextMenus.js b/javascript/contextMenus.js
index ccae242f2b6..a00c3de9f9e 100644
--- a/javascript/contextMenus.js
+++ b/javascript/contextMenus.js
@@ -107,16 +107,23 @@ var contextMenuInit = function() {
                 oldMenu.remove();
             }
         });
-        gradioApp().addEventListener("contextmenu", function(e) {
-            let oldMenu = gradioApp().querySelector('#context-menu');
-            if (oldMenu) {
-                oldMenu.remove();
-            }
-            menuSpecs.forEach(function(v, k) {
-                if (e.composedPath()[0].matches(k)) {
-                    showContextMenu(e, e.composedPath()[0], v);
-                    e.preventDefault();
+        ['contextmenu', 'touchstart'].forEach((eventType) => {
+            gradioApp().addEventListener(eventType, function(e) {
+                let ev = e;
+                if (eventType.startsWith('touch')) {
+                    if (e.touches.length !== 2) return;
+                    ev = e.touches[0];
+                }
+                let oldMenu = gradioApp().querySelector('#context-menu');
+                if (oldMenu) {
+                    oldMenu.remove();
                 }
+                menuSpecs.forEach(function(v, k) {
+                    if (e.composedPath()[0].matches(k)) {
+                        showContextMenu(ev, e.composedPath()[0], v);
+                        e.preventDefault();
+                    }
+                });
             });
         });
         eventListenerApplied = true;

From f12886aefa4f2ac5d8e64a206a6b4d6df9d85b6b Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 4 May 2024 23:42:37 +0900
Subject: [PATCH 047/125] use script_path for webui root in launch_utils

---
 modules/launch_utils.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/launch_utils.py b/modules/launch_utils.py
index 5812b0e5855..e22da4ec64d 100644
--- a/modules/launch_utils.py
+++ b/modules/launch_utils.py
@@ -76,7 +76,7 @@ def git_tag():
     except Exception:
         try:
 
-            changelog_md = os.path.join(os.path.dirname(os.path.dirname(__file__)), "CHANGELOG.md")
+            changelog_md = os.path.join(script_path, "CHANGELOG.md")
             with open(changelog_md, "r", encoding="utf-8") as file:
                 line = next((line.strip() for line in file if line.strip()), "<none>")
                 line = line.replace("## ", "")
@@ -231,7 +231,7 @@ def run_extension_installer(extension_dir):
 
     try:
         env = os.environ.copy()
-        env['PYTHONPATH'] = f"{os.path.abspath('.')}{os.pathsep}{env.get('PYTHONPATH', '')}"
+        env['PYTHONPATH'] = f"{script_path}{os.pathsep}{env.get('PYTHONPATH', '')}"
 
         stdout = run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env).strip()
         if stdout:

From dd93c47abfd9ed357f5d5827311d836ea399a236 Mon Sep 17 00:00:00 2001
From: bluelovers <codelovers@users.sourceforge.net>
Date: Tue, 7 May 2024 19:53:18 +0800
Subject: [PATCH 048/125] Update imageviewer.js

---
 javascript/imageviewer.js | 9 +--------
 1 file changed, 1 insertion(+), 8 deletions(-)

diff --git a/javascript/imageviewer.js b/javascript/imageviewer.js
index d4d4f016ddd..a3f08ad16c8 100644
--- a/javascript/imageviewer.js
+++ b/javascript/imageviewer.js
@@ -51,14 +51,7 @@ function modalImageSwitch(offset) {
     var galleryButtons = all_gallery_buttons();
 
     if (galleryButtons.length > 1) {
-        var currentButton = selected_gallery_button();
-
-        var result = -1;
-        galleryButtons.forEach(function(v, i) {
-            if (v == currentButton) {
-                result = i;
-            }
-        });
+        var result = selected_gallery_index();
 
         if (result != -1) {
             var nextButton = galleryButtons[negmod((result + offset), galleryButtons.length)];

From dbda59e58a7c90752ab9911a779dd1381ae530e1 Mon Sep 17 00:00:00 2001
From: Andray <light.and.ray@gmail.com>
Date: Tue, 7 May 2024 19:26:16 +0400
Subject: [PATCH 049/125] fix context menu position

---
 javascript/contextMenus.js | 24 ++----------------------
 1 file changed, 2 insertions(+), 22 deletions(-)

diff --git a/javascript/contextMenus.js b/javascript/contextMenus.js
index a00c3de9f9e..e01fd67e80e 100644
--- a/javascript/contextMenus.js
+++ b/javascript/contextMenus.js
@@ -8,9 +8,6 @@ var contextMenuInit = function() {
     };
 
     function showContextMenu(event, element, menuEntries) {
-        let posx = event.clientX + document.body.scrollLeft + document.documentElement.scrollLeft;
-        let posy = event.clientY + document.body.scrollTop + document.documentElement.scrollTop;
-
         let oldMenu = gradioApp().querySelector('#context-menu');
         if (oldMenu) {
             oldMenu.remove();
@@ -23,10 +20,8 @@ var contextMenuInit = function() {
         contextMenu.style.background = baseStyle.background;
         contextMenu.style.color = baseStyle.color;
         contextMenu.style.fontFamily = baseStyle.fontFamily;
-        contextMenu.style.top = posy + 'px';
-        contextMenu.style.left = posx + 'px';
-
-
+        contextMenu.style.top = event.pageY + 'px';
+        contextMenu.style.left = event.pageX + 'px';
 
         const contextMenuList = document.createElement('ul');
         contextMenuList.className = 'context-menu-items';
@@ -43,21 +38,6 @@ var contextMenuInit = function() {
         });
 
         gradioApp().appendChild(contextMenu);
-
-        let menuWidth = contextMenu.offsetWidth + 4;
-        let menuHeight = contextMenu.offsetHeight + 4;
-
-        let windowWidth = window.innerWidth;
-        let windowHeight = window.innerHeight;
-
-        if ((windowWidth - posx) < menuWidth) {
-            contextMenu.style.left = windowWidth - menuWidth + "px";
-        }
-
-        if ((windowHeight - posy) < menuHeight) {
-            contextMenu.style.top = windowHeight - menuHeight + "px";
-        }
-
     }
 
     function appendContextMenuOption(targetElementSelector, entryName, entryFunction) {

From e736c3b36b5e450c3883719d1b73acf84bdf29f7 Mon Sep 17 00:00:00 2001
From: JLipnerPitt <122459494+JLipnerPitt@users.noreply.github.com>
Date: Wed, 8 May 2024 05:22:12 -0400
Subject: [PATCH 050/125] Add files via upload

Fixed an error (AttributeError: 'str' object has no attribute 'decode') coming from line 792 in images.py when trying to upscale certain images.
---
 modules/images.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index c0ff8a6306a..0f49caf7913 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -789,7 +789,10 @@ def read_info_from_image(image: Image.Image) -> tuple[str | None, dict]:
         if exif_comment:
             geninfo = exif_comment
     elif "comment" in items: # for gif
-        geninfo = items["comment"].decode('utf8', errors="ignore")
+        if isinstance(items["comment"], bytes):
+            geninfo = items["comment"].decode('utf8', errors="ignore")
+        else:
+            geninfo = items["comment"]
 
     for field in IGNORED_INFO_KEYS:
         items.pop(field, None)

From f7e349cea49731b0e57cc2a2c1eb4904f1aea9b9 Mon Sep 17 00:00:00 2001
From: LoganBooker <loganbooker@gmail.com>
Date: Wed, 8 May 2024 21:23:18 +1000
Subject: [PATCH 051/125] Add AVIF MIME type support to mimetype definitions

AVIF images will open, rather than download, as the default behaviour.
---
 modules/ui.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/ui.py b/modules/ui.py
index 403425f2985..cface5002e0 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -41,6 +41,7 @@
 
 # Likewise, add explicit content-type header for certain missing image types
 mimetypes.add_type('image/webp', '.webp')
+mimetypes.add_type('image/avif', '.avif')
 
 if not cmd_opts.share and not cmd_opts.listen:
     # fix gradio phoning home

From 5fbac49791d9a4a6af85c8236ba9179d7415e0f9 Mon Sep 17 00:00:00 2001
From: MarcusNyne <69087098+MarcusNyne@users.noreply.github.com>
Date: Wed, 8 May 2024 16:48:10 -0400
Subject: [PATCH 052/125] Added --models-dir option

The --model-dir option overrides the location of the models directory for stable diffusion, so that models can be shared across multiple installations.  When --data-dir is specified alone, both the extensions and models folders are present in this folder.  --models-dir can be used independently, but when used with --data-dir, then the models folder is specified by --models-dir, and extensions are found in the --data-dir.
---
 modules/cmd_args.py       | 1 +
 modules/paths_internal.py | 4 +++-
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/modules/cmd_args.py b/modules/cmd_args.py
index 016a33d1057..a683c99e87c 100644
--- a/modules/cmd_args.py
+++ b/modules/cmd_args.py
@@ -20,6 +20,7 @@
 parser.add_argument("--loglevel", type=str, help="log level; one of: CRITICAL, ERROR, WARNING, INFO, DEBUG", default=None)
 parser.add_argument("--do-not-download-clip", action='store_true', help="do not download CLIP model even if it's not included in the checkpoint")
 parser.add_argument("--data-dir", type=normalized_filepath, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored")
+parser.add_argument("--models-dir", type=normalized_filepath, default=None, help="base path where models are stored; overrides --data-dir")
 parser.add_argument("--config", type=normalized_filepath, default=sd_default_config, help="path to config which constructs model",)
 parser.add_argument("--ckpt", type=normalized_filepath, default=sd_model_file, help="path to checkpoint of stable diffusion model; if specified, this checkpoint will be added to the list of checkpoints and loaded",)
 parser.add_argument("--ckpt-dir", type=normalized_filepath, default=None, help="Path to directory with stable diffusion checkpoints")
diff --git a/modules/paths_internal.py b/modules/paths_internal.py
index cf9da45ab43..884984c9c0a 100644
--- a/modules/paths_internal.py
+++ b/modules/paths_internal.py
@@ -24,11 +24,13 @@
 # Parse the --data-dir flag first so we can use it as a base for our other argument default values
 parser_pre = argparse.ArgumentParser(add_help=False)
 parser_pre.add_argument("--data-dir", type=str, default=os.path.dirname(modules_path), help="base path where all user data is stored", )
+parser_pre.add_argument("--models-dir", type=str, default=None, help="base path where models are stored; overrides --data-dir", )
 cmd_opts_pre = parser_pre.parse_known_args()[0]
 
 data_path = cmd_opts_pre.data_dir
+models_override = cmd_opts_pre.models_dir
 
-models_path = os.path.join(data_path, "models")
+models_path = models_override if models_override else os.path.join(data_path, "models")
 extensions_dir = os.path.join(data_path, "extensions")
 extensions_builtin_dir = os.path.join(script_path, "extensions-builtin")
 config_states_dir = os.path.join(script_path, "config_states")

From d2cc8ccb11558f1dbdb27a2351e34155c3a24ccf Mon Sep 17 00:00:00 2001
From: MarcusNyne <69087098+MarcusNyne@users.noreply.github.com>
Date: Thu, 9 May 2024 17:16:53 -0400
Subject: [PATCH 053/125] When creating a virtual environment, upgrade pip

Pip will be upgraded upon immediately creating the virtual environment.  If the pip upgrade fails, this should not cause the script to fail (treat as a warning).  After the environment is created, it will not attempt further updates to pip.
---
 webui.bat | 7 ++++++-
 webui.sh  | 1 +
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/webui.bat b/webui.bat
index e2c9079d2fb..a8d479b05e2 100644
--- a/webui.bat
+++ b/webui.bat
@@ -37,10 +37,15 @@ if %ERRORLEVEL% == 0 goto :activate_venv
 for /f "delims=" %%i in ('CALL %PYTHON% -c "import sys; print(sys.executable)"') do set PYTHON_FULLNAME="%%i"
 echo Creating venv in directory %VENV_DIR% using python %PYTHON_FULLNAME%
 %PYTHON_FULLNAME% -m venv "%VENV_DIR%" >tmp/stdout.txt 2>tmp/stderr.txt
-if %ERRORLEVEL% == 0 goto :activate_venv
+if %ERRORLEVEL% == 0 goto :upgrade_pip
 echo Unable to create venv in directory "%VENV_DIR%"
 goto :show_stdout_stderr
 
+:upgrade_pip
+"%VENV_DIR%\Scripts\Python.exe" -m pip install --upgrade pip
+if %ERRORLEVEL% == 0 goto :activate_venv
+echo Warning: Failed to upgrade PIP version
+
 :activate_venv
 set PYTHON="%VENV_DIR%\Scripts\Python.exe"
 echo venv %PYTHON%
diff --git a/webui.sh b/webui.sh
index c7c4bee9878..7acea902cfc 100755
--- a/webui.sh
+++ b/webui.sh
@@ -210,6 +210,7 @@ then
     if [[ ! -d "${venv_dir}" ]]
     then
         "${python_cmd}" -m venv "${venv_dir}"
+        "${venv_dir}"/bin/python -m pip install --upgrade pip
         first_launch=1
     fi
     # shellcheck source=/dev/null

From 73d1caf8f28a387f2db5a77a8892edad8ed505a0 Mon Sep 17 00:00:00 2001
From: Logan <loganbooker@gmail.com>
Date: Fri, 10 May 2024 12:38:10 +1000
Subject: [PATCH 054/125] Add Align Your Steps to available schedulers

* Include both SDXL and SD 1.5 variants (https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html)
---
 modules/sd_schedulers.py | 32 ++++++++++++++++++++++++++++++++
 1 file changed, 32 insertions(+)

diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
index 75eb3ac032f..2131eae46cc 100644
--- a/modules/sd_schedulers.py
+++ b/modules/sd_schedulers.py
@@ -4,6 +4,7 @@
 
 import k_diffusion
 
+import numpy as np
 
 @dataclasses.dataclass
 class Scheduler:
@@ -30,6 +31,35 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
     sigs += [0.0]
     return torch.FloatTensor(sigs).to(device)
 
+def get_align_your_steps_sigmas(n, device, sigma_id):
+    # https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html
+    def loglinear_interp(t_steps, num_steps):
+        """
+        Performs log-linear interpolation of a given array of decreasing numbers.
+        """
+        xs = np.linspace(0, 1, len(t_steps))
+        ys = np.log(t_steps[::-1])
+
+        new_xs = np.linspace(0, 1, num_steps)
+        new_ys = np.interp(new_xs, xs, ys)
+
+        interped_ys = np.exp(new_ys)[::-1].copy()
+        return interped_ys
+
+    if sigma_id == "sdxl":
+        sigmas = [14.615, 6.315, 3.771, 2.181, 1.342, 0.862, 0.555, 0.380, 0.234, 0.113, 0.029]
+    elif sigma_id == "sd15":
+        sigmas = [14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029]
+    else:
+        print(f'Align Your Steps sigma identifier "{sigma_id}" not recognized, defaulting to SD 1.5.')
+        sigmas = [14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029]
+
+    if n != len(sigmas):
+        sigmas = np.append(loglinear_interp(sigmas, n), [0.0])
+    else:
+        sigmas.append(0.0)
+
+    return torch.FloatTensor(sigmas).to(device)
 
 schedulers = [
     Scheduler('automatic', 'Automatic', None),
@@ -38,6 +68,8 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
     Scheduler('exponential', 'Exponential', k_diffusion.sampling.get_sigmas_exponential),
     Scheduler('polyexponential', 'Polyexponential', k_diffusion.sampling.get_sigmas_polyexponential, default_rho=1.0),
     Scheduler('sgm_uniform', 'SGM Uniform', sgm_uniform, need_inner_model=True, aliases=["SGMUniform"]),
+    Scheduler('align_your_steps_sdxl', 'Align Your Steps (SDXL)', lambda n, sigma_min, sigma_max, device: get_align_your_steps_sigmas(n, device, "sdxl")),
+    Scheduler('align_your_steps_sd15', 'Align Your Steps (SD 1.5)', lambda n, sigma_min, sigma_max, device: get_align_your_steps_sigmas(n, device, "sd15")),
 ]
 
 schedulers_map = {**{x.name: x for x in schedulers}, **{x.label: x for x in schedulers}}

From d6b4444069d36cf7554eb9932061ecf43e9b1335 Mon Sep 17 00:00:00 2001
From: Logan <loganbooker@gmail.com>
Date: Fri, 10 May 2024 18:05:45 +1000
Subject: [PATCH 055/125] Use shared.sd_model.is_sdxl to determine base AYS
 sigmas

---
 modules/sd_schedulers.py | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
index 2131eae46cc..0ac1f7a21f8 100644
--- a/modules/sd_schedulers.py
+++ b/modules/sd_schedulers.py
@@ -6,6 +6,8 @@
 
 import numpy as np
 
+from modules import shared
+
 @dataclasses.dataclass
 class Scheduler:
     name: str
@@ -31,7 +33,7 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
     sigs += [0.0]
     return torch.FloatTensor(sigs).to(device)
 
-def get_align_your_steps_sigmas(n, device, sigma_id):
+def get_align_your_steps_sigmas(n, sigma_min, sigma_max, device):
     # https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html
     def loglinear_interp(t_steps, num_steps):
         """
@@ -46,12 +48,10 @@ def loglinear_interp(t_steps, num_steps):
         interped_ys = np.exp(new_ys)[::-1].copy()
         return interped_ys
 
-    if sigma_id == "sdxl":
+    if shared.sd_model.is_sdxl:
         sigmas = [14.615, 6.315, 3.771, 2.181, 1.342, 0.862, 0.555, 0.380, 0.234, 0.113, 0.029]
-    elif sigma_id == "sd15":
-        sigmas = [14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029]
     else:
-        print(f'Align Your Steps sigma identifier "{sigma_id}" not recognized, defaulting to SD 1.5.')
+        # Default to SD 1.5 sigmas.
         sigmas = [14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029]
 
     if n != len(sigmas):
@@ -68,8 +68,7 @@ def loglinear_interp(t_steps, num_steps):
     Scheduler('exponential', 'Exponential', k_diffusion.sampling.get_sigmas_exponential),
     Scheduler('polyexponential', 'Polyexponential', k_diffusion.sampling.get_sigmas_polyexponential, default_rho=1.0),
     Scheduler('sgm_uniform', 'SGM Uniform', sgm_uniform, need_inner_model=True, aliases=["SGMUniform"]),
-    Scheduler('align_your_steps_sdxl', 'Align Your Steps (SDXL)', lambda n, sigma_min, sigma_max, device: get_align_your_steps_sigmas(n, device, "sdxl")),
-    Scheduler('align_your_steps_sd15', 'Align Your Steps (SD 1.5)', lambda n, sigma_min, sigma_max, device: get_align_your_steps_sigmas(n, device, "sd15")),
+    Scheduler('align_your_steps', 'Align Your Steps', get_align_your_steps_sigmas),
 ]
 
 schedulers_map = {**{x.name: x for x in schedulers}, **{x.label: x for x in schedulers}}

From d44f241317d63095176543839bc111b731069629 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 11 May 2024 13:13:39 +0900
Subject: [PATCH 056/125] use relative path for webui-assets css

---
 style.css | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/style.css b/style.css
index f6a89b8f90d..8eefda56df5 100644
--- a/style.css
+++ b/style.css
@@ -1,6 +1,6 @@
 /* temporary fix to load default gradio font in frontend instead of backend */
 
-@import url('/webui-assets/css/sourcesanspro.css');
+@import url('webui-assets/css/sourcesanspro.css');
 
 
 /* temporary fix to hide gradio crop tool until it's fixed https://github.com/gradio-app/gradio/issues/3810 */

From ef7713fbb29fed183d669a5a081cda9ac1a8b629 Mon Sep 17 00:00:00 2001
From: elf-mouse <ifmouz@gmail.com>
Date: Tue, 14 May 2024 15:39:05 +0800
Subject: [PATCH 057/125] chore: sync v1.8.0 packages according to changelog,
 fix warning

---
 webui-macos-env.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/webui-macos-env.sh b/webui-macos-env.sh
index db7e8b1a05b..4126005ae9e 100644
--- a/webui-macos-env.sh
+++ b/webui-macos-env.sh
@@ -11,7 +11,7 @@ fi
 
 export install_dir="$HOME"
 export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate"
-export TORCH_COMMAND="pip install torch==2.1.0 torchvision==0.16.0"
+export TORCH_COMMAND="pip install torch==2.1.2 torchvision==0.16.2"
 export PYTORCH_ENABLE_MPS_FALLBACK=1
 
 ####################################################################

From 5ab7d08a0a99c88a60a13885e564fd7d2d05cfc1 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Wed, 15 May 2024 17:27:05 +0900
Subject: [PATCH 058/125] fix extention update when not on main branch

---
 modules/extensions.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/modules/extensions.py b/modules/extensions.py
index 5ad934b4df3..24de766eb90 100644
--- a/modules/extensions.py
+++ b/modules/extensions.py
@@ -191,8 +191,9 @@ def list_files(self, subdir, extension):
 
     def check_updates(self):
         repo = Repo(self.path)
+        branch_name = f'{repo.remote().name}/{self.branch}'
         for fetch in repo.remote().fetch(dry_run=True):
-            if self.branch and fetch.name != f'{repo.remote().name}/{self.branch}':
+            if self.branch and fetch.name != branch_name:
                 continue
             if fetch.flags != fetch.HEAD_UPTODATE:
                 self.can_update = True
@@ -200,7 +201,7 @@ def check_updates(self):
                 return
 
         try:
-            origin = repo.rev_parse('origin')
+            origin = repo.rev_parse(branch_name)
             if repo.head.commit != origin:
                 self.can_update = True
                 self.status = "behind HEAD"
@@ -213,8 +214,10 @@ def check_updates(self):
         self.can_update = False
         self.status = "latest"
 
-    def fetch_and_reset_hard(self, commit='origin'):
+    def fetch_and_reset_hard(self, commit=None):
         repo = Repo(self.path)
+        if commit is None:
+            commit = f'{repo.remote().name}/{self.branch}'
         # Fix: `error: Your local changes to the following files would be overwritten by merge`,
         # because WSL2 Docker set 755 file permissions instead of 644, this results to the error.
         repo.git.fetch(all=True)

From 022d835565f253841f7f9272ba320bb0cec4770d Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Wed, 15 May 2024 15:20:40 -0400
Subject: [PATCH 059/125] use_checkpoint = False

---
 configs/alt-diffusion-inference.yaml     | 2 +-
 configs/alt-diffusion-m18-inference.yaml | 2 +-
 configs/instruct-pix2pix.yaml            | 2 +-
 configs/sd_xl_inpaint.yaml               | 2 +-
 configs/v1-inference.yaml                | 2 +-
 configs/v1-inpainting-inference.yaml     | 2 +-
 modules/sd_hijack_checkpoint.py          | 9 ++++++---
 modules/sd_models_config.py              | 2 +-
 8 files changed, 13 insertions(+), 10 deletions(-)

diff --git a/configs/alt-diffusion-inference.yaml b/configs/alt-diffusion-inference.yaml
index cfbee72d71b..4944ab5c8dc 100644
--- a/configs/alt-diffusion-inference.yaml
+++ b/configs/alt-diffusion-inference.yaml
@@ -40,7 +40,7 @@ model:
         use_spatial_transformer: True
         transformer_depth: 1
         context_dim: 768
-        use_checkpoint: True
+        use_checkpoint: False
         legacy: False
 
     first_stage_config:
diff --git a/configs/alt-diffusion-m18-inference.yaml b/configs/alt-diffusion-m18-inference.yaml
index 41a031d55f0..c60dca8c7b3 100644
--- a/configs/alt-diffusion-m18-inference.yaml
+++ b/configs/alt-diffusion-m18-inference.yaml
@@ -41,7 +41,7 @@ model:
         use_linear_in_transformer: True
         transformer_depth: 1
         context_dim: 1024
-        use_checkpoint: True
+        use_checkpoint: False
         legacy: False
 
     first_stage_config:
diff --git a/configs/instruct-pix2pix.yaml b/configs/instruct-pix2pix.yaml
index 4e896879dd7..564e50ae246 100644
--- a/configs/instruct-pix2pix.yaml
+++ b/configs/instruct-pix2pix.yaml
@@ -45,7 +45,7 @@ model:
         use_spatial_transformer: True
         transformer_depth: 1
         context_dim: 768
-        use_checkpoint: True
+        use_checkpoint: False
         legacy: False
 
     first_stage_config:
diff --git a/configs/sd_xl_inpaint.yaml b/configs/sd_xl_inpaint.yaml
index 3bad372186f..f40f45e3316 100644
--- a/configs/sd_xl_inpaint.yaml
+++ b/configs/sd_xl_inpaint.yaml
@@ -21,7 +21,7 @@ model:
       params:
         adm_in_channels: 2816
         num_classes: sequential
-        use_checkpoint: True
+        use_checkpoint: False
         in_channels: 9
         out_channels: 4
         model_channels: 320
diff --git a/configs/v1-inference.yaml b/configs/v1-inference.yaml
index d4effe569e8..25c4d9ed066 100644
--- a/configs/v1-inference.yaml
+++ b/configs/v1-inference.yaml
@@ -40,7 +40,7 @@ model:
         use_spatial_transformer: True
         transformer_depth: 1
         context_dim: 768
-        use_checkpoint: True
+        use_checkpoint: False
         legacy: False
 
     first_stage_config:
diff --git a/configs/v1-inpainting-inference.yaml b/configs/v1-inpainting-inference.yaml
index f9eec37d24b..68c199f99c3 100644
--- a/configs/v1-inpainting-inference.yaml
+++ b/configs/v1-inpainting-inference.yaml
@@ -40,7 +40,7 @@ model:
         use_spatial_transformer: True
         transformer_depth: 1
         context_dim: 768
-        use_checkpoint: True
+        use_checkpoint: False
         legacy: False
 
     first_stage_config:
diff --git a/modules/sd_hijack_checkpoint.py b/modules/sd_hijack_checkpoint.py
index 2604d969f91..b2f05bbdcf0 100644
--- a/modules/sd_hijack_checkpoint.py
+++ b/modules/sd_hijack_checkpoint.py
@@ -4,16 +4,19 @@
 import ldm.modules.diffusionmodules.openaimodel
 
 
+# Setting flag=False so that torch skips checking parameters.
+# parameters checking is expensive in frequent operations.
+
 def BasicTransformerBlock_forward(self, x, context=None):
-    return checkpoint(self._forward, x, context)
+    return checkpoint(self._forward, x, context, flag=False)
 
 
 def AttentionBlock_forward(self, x):
-    return checkpoint(self._forward, x)
+    return checkpoint(self._forward, x, flag=False)
 
 
 def ResBlock_forward(self, x, emb):
-    return checkpoint(self._forward, x, emb)
+    return checkpoint(self._forward, x, emb, flag=False)
 
 
 stored = []
diff --git a/modules/sd_models_config.py b/modules/sd_models_config.py
index b38137eb5a9..9cec4f13dc2 100644
--- a/modules/sd_models_config.py
+++ b/modules/sd_models_config.py
@@ -35,7 +35,7 @@ def is_using_v_parameterization_for_sd2(state_dict):
 
     with sd_disable_initialization.DisableInitialization():
         unet = ldm.modules.diffusionmodules.openaimodel.UNetModel(
-            use_checkpoint=True,
+            use_checkpoint=False,
             use_fp16=False,
             image_size=32,
             in_channels=4,

From 0e98529365477a4f240b2ac67d94ff59235144c5 Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Wed, 15 May 2024 15:46:53 -0400
Subject: [PATCH 060/125] Replace einops.rearrange with torch native

---
 modules/sd_hijack_optimizations.py | 18 ++++++++++++++++--
 1 file changed, 16 insertions(+), 2 deletions(-)

diff --git a/modules/sd_hijack_optimizations.py b/modules/sd_hijack_optimizations.py
index 7f9e328d05a..4c2dc56d45d 100644
--- a/modules/sd_hijack_optimizations.py
+++ b/modules/sd_hijack_optimizations.py
@@ -486,7 +486,19 @@ def xformers_attention_forward(self, x, context=None, mask=None, **kwargs):
     k_in = self.to_k(context_k)
     v_in = self.to_v(context_v)
 
-    q, k, v = (rearrange(t, 'b n (h d) -> b n h d', h=h) for t in (q_in, k_in, v_in))
+    def _reshape(t):
+        """rearrange(t, 'b n (h d) -> b n h d', h=h).
+        Using torch native operations to avoid overhead as this function is
+        called frequently. (70 times/it for SDXL)
+        """
+        b, n, _ = t.shape  # Get the batch size (b) and sequence length (n)
+        d = t.shape[2] // h  # Determine the depth per head
+        return t.reshape(b, n, h, d)
+
+    q = _reshape(q_in)
+    k = _reshape(k_in)
+    v = _reshape(v_in)
+
     del q_in, k_in, v_in
 
     dtype = q.dtype
@@ -497,7 +509,9 @@ def xformers_attention_forward(self, x, context=None, mask=None, **kwargs):
 
     out = out.to(dtype)
 
-    out = rearrange(out, 'b n h d -> b n (h d)', h=h)
+    # out = rearrange(out, 'b n h d -> b n (h d)', h=h)
+    b, n, h, d = out.shape
+    out = out.reshape(b, n, h * d)
     return self.to_out(out)
 
 

From 9eb2f786316c0f7e94c3df5f5e8bda203e6b875d Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Wed, 15 May 2024 16:32:29 -0400
Subject: [PATCH 061/125] Precompute is_sdxl_inpaint flag

---
 modules/processing.py   | 28 +++++++++++-----------------
 modules/sd_models.py    |  7 +++++++
 modules/sd_models_xl.py |  9 ++++-----
 3 files changed, 22 insertions(+), 22 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index 76557dd7f5e..d82cb24fb95 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -115,20 +115,17 @@ def txt2img_image_conditioning(sd_model, x, width, height):
         return x.new_zeros(x.shape[0], 2*sd_model.noise_augmentor.time_embed.dim, dtype=x.dtype, device=x.device)
 
     else:
-        sd = sd_model.model.state_dict()
-        diffusion_model_input = sd.get('diffusion_model.input_blocks.0.0.weight', None)
-        if diffusion_model_input is not None:
-            if diffusion_model_input.shape[1] == 9:
-                # The "masked-image" in this case will just be all 0.5 since the entire image is masked.
-                image_conditioning = torch.ones(x.shape[0], 3, height, width, device=x.device) * 0.5
-                image_conditioning = images_tensor_to_samples(image_conditioning,
-                                                              approximation_indexes.get(opts.sd_vae_encode_method))
+        if sd_model.model.is_sdxl_inpaint:
+            # The "masked-image" in this case will just be all 0.5 since the entire image is masked.
+            image_conditioning = torch.ones(x.shape[0], 3, height, width, device=x.device) * 0.5
+            image_conditioning = images_tensor_to_samples(image_conditioning,
+                                                            approximation_indexes.get(opts.sd_vae_encode_method))
 
-                # Add the fake full 1s mask to the first dimension.
-                image_conditioning = torch.nn.functional.pad(image_conditioning, (0, 0, 0, 0, 1, 0), value=1.0)
-                image_conditioning = image_conditioning.to(x.dtype)
+            # Add the fake full 1s mask to the first dimension.
+            image_conditioning = torch.nn.functional.pad(image_conditioning, (0, 0, 0, 0, 1, 0), value=1.0)
+            image_conditioning = image_conditioning.to(x.dtype)
 
-                return image_conditioning
+            return image_conditioning
 
         # Dummy zero conditioning if we're not using inpainting or unclip models.
         # Still takes up a bit of memory, but no encoder call.
@@ -390,11 +387,8 @@ def img2img_image_conditioning(self, source_image, latent_image, image_mask=None
         if self.sampler.conditioning_key == "crossattn-adm":
             return self.unclip_image_conditioning(source_image)
 
-        sd = self.sampler.model_wrap.inner_model.model.state_dict()
-        diffusion_model_input = sd.get('diffusion_model.input_blocks.0.0.weight', None)
-        if diffusion_model_input is not None:
-            if diffusion_model_input.shape[1] == 9:
-                return self.inpainting_image_conditioning(source_image, latent_image, image_mask=image_mask)
+        if self.sampler.model_wrap.inner_model.model.is_sdxl_inpaint:
+            return self.inpainting_image_conditioning(source_image, latent_image, image_mask=image_mask)
 
         # Dummy zero conditioning if we're not using inpainting or depth model.
         return latent_image.new_zeros(latent_image.shape[0], 5, 1, 1)
diff --git a/modules/sd_models.py b/modules/sd_models.py
index ff245b7a668..62e74d27ae0 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -380,6 +380,13 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
     model.is_sd2 = not model.is_sdxl and hasattr(model.cond_stage_model, 'model')
     model.is_sd1 = not model.is_sdxl and not model.is_sd2
     model.is_ssd = model.is_sdxl and 'model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_q.weight' not in state_dict.keys()
+    # Set is_sdxl_inpaint flag.
+    diffusion_model_input = state_dict.get('diffusion_model.input_blocks.0.0.weight', None)
+    model.is_sdxl_inpaint = (
+        model.is_sdxl and
+        diffusion_model_input is not None and
+        diffusion_model_input.shape[1] == 9
+    )
     if model.is_sdxl:
         sd_models_xl.extend_sdxl(model)
 
diff --git a/modules/sd_models_xl.py b/modules/sd_models_xl.py
index 94ff973fb84..35e21f6e470 100644
--- a/modules/sd_models_xl.py
+++ b/modules/sd_models_xl.py
@@ -35,11 +35,10 @@ def get_learned_conditioning(self: sgm.models.diffusion.DiffusionEngine, batch:
 
 
 def apply_model(self: sgm.models.diffusion.DiffusionEngine, x, t, cond):
-    sd = self.model.state_dict()
-    diffusion_model_input = sd.get('diffusion_model.input_blocks.0.0.weight', None)
-    if diffusion_model_input is not None:
-        if diffusion_model_input.shape[1] == 9:
-            x = torch.cat([x] + cond['c_concat'], dim=1)
+    """WARNING: This function is called once per denoising iteration. DO NOT add
+    expensive functionc calls such as `model.state_dict`. """
+    if self.model.is_sdxl_inpaint:
+        x = torch.cat([x] + cond['c_concat'], dim=1)
 
     return self.model(x, t, cond)
 

From 6a48476502d6cdd19cb3d0c7f2a0b92aacd7c01f Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Wed, 15 May 2024 16:54:26 -0400
Subject: [PATCH 062/125] Fix flag check for SD15

---
 modules/processing.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index d82cb24fb95..fff2595e70a 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -115,7 +115,7 @@ def txt2img_image_conditioning(sd_model, x, width, height):
         return x.new_zeros(x.shape[0], 2*sd_model.noise_augmentor.time_embed.dim, dtype=x.dtype, device=x.device)
 
     else:
-        if sd_model.model.is_sdxl_inpaint:
+        if getattr(sd_model.model, "is_sdxl_inpaint", False):
             # The "masked-image" in this case will just be all 0.5 since the entire image is masked.
             image_conditioning = torch.ones(x.shape[0], 3, height, width, device=x.device) * 0.5
             image_conditioning = images_tensor_to_samples(image_conditioning,
@@ -387,7 +387,7 @@ def img2img_image_conditioning(self, source_image, latent_image, image_mask=None
         if self.sampler.conditioning_key == "crossattn-adm":
             return self.unclip_image_conditioning(source_image)
 
-        if self.sampler.model_wrap.inner_model.model.is_sdxl_inpaint:
+        if getattr(self.sampler.model_wrap.inner_model.model, "is_sdxl_inpaint", False):
             return self.inpainting_image_conditioning(source_image, latent_image, image_mask=image_mask)
 
         # Dummy zero conditioning if we're not using inpainting or depth model.

From 3e20b36e8f1b26f24db0c149732fb5479bff68bc Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Wed, 15 May 2024 17:27:01 -0400
Subject: [PATCH 063/125] Fix attr access

---
 modules/sd_models_xl.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_models_xl.py b/modules/sd_models_xl.py
index 35e21f6e470..1242a59369f 100644
--- a/modules/sd_models_xl.py
+++ b/modules/sd_models_xl.py
@@ -37,7 +37,7 @@ def get_learned_conditioning(self: sgm.models.diffusion.DiffusionEngine, batch:
 def apply_model(self: sgm.models.diffusion.DiffusionEngine, x, t, cond):
     """WARNING: This function is called once per denoising iteration. DO NOT add
     expensive functionc calls such as `model.state_dict`. """
-    if self.model.is_sdxl_inpaint:
+    if self.is_sdxl_inpaint:
         x = torch.cat([x] + cond['c_concat'], dim=1)
 
     return self.model(x, t, cond)

From 9c8075ba8e538f695ef25f85e6513227b58b71ce Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Thu, 16 May 2024 23:16:50 +0900
Subject: [PATCH 064/125] torch_utils.float64

return torch.float64 if device is not mps or xpu, else return torch.float32
---
 modules/torch_utils.py | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/modules/torch_utils.py b/modules/torch_utils.py
index e5b52393ec8..a07e02853b1 100644
--- a/modules/torch_utils.py
+++ b/modules/torch_utils.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import torch.nn
+import torch
 
 
 def get_param(model) -> torch.nn.Parameter:
@@ -15,3 +16,11 @@ def get_param(model) -> torch.nn.Parameter:
         return param
 
     raise ValueError(f"No parameters found in model {model!r}")
+
+
+def float64(t: torch.Tensor):
+    """return torch.float64 if device is not mps or xpu, else return torch.float32"""
+    match t.device.type:
+        case 'mps', 'xpu':
+            return torch.float32
+    return torch.float64

From 41f66849c7feac1efd0b9eb6884209be382e9e74 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Thu, 16 May 2024 23:18:20 +0900
Subject: [PATCH 065/125] mps, xpu compatibility

---
 .../soft-inpainting/scripts/soft_inpainting.py           | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/extensions-builtin/soft-inpainting/scripts/soft_inpainting.py b/extensions-builtin/soft-inpainting/scripts/soft_inpainting.py
index f56e1e2266d..0e629963af4 100644
--- a/extensions-builtin/soft-inpainting/scripts/soft_inpainting.py
+++ b/extensions-builtin/soft-inpainting/scripts/soft_inpainting.py
@@ -3,6 +3,7 @@
 import math
 from modules.ui_components import InputAccordion
 import modules.scripts as scripts
+from modules.torch_utils import float64
 
 
 class SoftInpaintingSettings:
@@ -79,13 +80,11 @@ def latent_blend(settings, a, b, t):
 
     # Calculate the magnitude of the interpolated vectors. (We will remove this magnitude.)
     # 64-bit operations are used here to allow large exponents.
-    current_magnitude = torch.norm(image_interp, p=2, dim=1, keepdim=True).to(torch.float64).add_(0.00001)
+    current_magnitude = torch.norm(image_interp, p=2, dim=1, keepdim=True).to(float64(image_interp)).add_(0.00001)
 
     # Interpolate the powered magnitudes, then un-power them (bring them back to a power of 1).
-    a_magnitude = torch.norm(a, p=2, dim=1, keepdim=True).to(torch.float64).pow_(
-        settings.inpaint_detail_preservation) * one_minus_t3
-    b_magnitude = torch.norm(b, p=2, dim=1, keepdim=True).to(torch.float64).pow_(
-        settings.inpaint_detail_preservation) * t3
+    a_magnitude = torch.norm(a, p=2, dim=1, keepdim=True).to(float64(a)).pow_(settings.inpaint_detail_preservation) * one_minus_t3
+    b_magnitude = torch.norm(b, p=2, dim=1, keepdim=True).to(float64(b)).pow_(settings.inpaint_detail_preservation) * t3
     desired_magnitude = a_magnitude
     desired_magnitude.add_(b_magnitude).pow_(1 / settings.inpaint_detail_preservation)
     del a_magnitude, b_magnitude, t3, one_minus_t3

From f015b94176d6df372ce153eddc018cb3b08c03ba Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Thu, 16 May 2024 23:19:06 +0900
Subject: [PATCH 066/125] use torch_utils.float64

---
 modules/sd_samplers_timesteps_impl.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/modules/sd_samplers_timesteps_impl.py b/modules/sd_samplers_timesteps_impl.py
index 930a64af590..84867d6ee65 100644
--- a/modules/sd_samplers_timesteps_impl.py
+++ b/modules/sd_samplers_timesteps_impl.py
@@ -5,13 +5,14 @@
 
 from modules import shared
 from modules.models.diffusion.uni_pc import uni_pc
+from modules.torch_utils import float64
 
 
 @torch.no_grad()
 def ddim(model, x, timesteps, extra_args=None, callback=None, disable=None, eta=0.0):
     alphas_cumprod = model.inner_model.inner_model.alphas_cumprod
     alphas = alphas_cumprod[timesteps]
-    alphas_prev = alphas_cumprod[torch.nn.functional.pad(timesteps[:-1], pad=(1, 0))].to(torch.float64 if x.device.type != 'mps' and x.device.type != 'xpu' else torch.float32)
+    alphas_prev = alphas_cumprod[torch.nn.functional.pad(timesteps[:-1], pad=(1, 0))].to(float64(x))
     sqrt_one_minus_alphas = torch.sqrt(1 - alphas)
     sigmas = eta * np.sqrt((1 - alphas_prev.cpu().numpy()) / (1 - alphas.cpu()) * (1 - alphas.cpu() / alphas_prev.cpu().numpy()))
 
@@ -43,7 +44,7 @@ def ddim(model, x, timesteps, extra_args=None, callback=None, disable=None, eta=
 def plms(model, x, timesteps, extra_args=None, callback=None, disable=None):
     alphas_cumprod = model.inner_model.inner_model.alphas_cumprod
     alphas = alphas_cumprod[timesteps]
-    alphas_prev = alphas_cumprod[torch.nn.functional.pad(timesteps[:-1], pad=(1, 0))].to(torch.float64 if x.device.type != 'mps' and x.device.type != 'xpu' else torch.float32)
+    alphas_prev = alphas_cumprod[torch.nn.functional.pad(timesteps[:-1], pad=(1, 0))].to(float64(x))
     sqrt_one_minus_alphas = torch.sqrt(1 - alphas)
 
     extra_args = {} if extra_args is None else extra_args

From 51b13a8c54854104f1510956b920399226a932f1 Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Thu, 16 May 2024 11:39:01 -0400
Subject: [PATCH 067/125] Prevent uncessary bias backup

---
 extensions-builtin/Lora/networks.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/extensions-builtin/Lora/networks.py b/extensions-builtin/Lora/networks.py
index 42b14dc239d..360455f8712 100644
--- a/extensions-builtin/Lora/networks.py
+++ b/extensions-builtin/Lora/networks.py
@@ -378,7 +378,10 @@ def network_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn
         self.network_weights_backup = weights_backup
 
     bias_backup = getattr(self, "network_bias_backup", None)
-    if bias_backup is None:
+    if bias_backup is None and wanted_names != ():
+        if current_names != ():
+            raise RuntimeError("no backup bias found and current bias are not unchanged")
+
         if isinstance(self, torch.nn.MultiheadAttention) and self.out_proj.bias is not None:
             bias_backup = self.out_proj.bias.to(devices.cpu, copy=True)
         elif getattr(self, 'bias', None) is not None:

From b2ae4490b9c225ff020941bcbf36c8975760deba Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Thu, 16 May 2024 14:45:00 -0400
Subject: [PATCH 068/125] Fix LoRA bias error

---
 extensions-builtin/Lora/networks.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/extensions-builtin/Lora/networks.py b/extensions-builtin/Lora/networks.py
index 360455f8712..aee4e9d9ca7 100644
--- a/extensions-builtin/Lora/networks.py
+++ b/extensions-builtin/Lora/networks.py
@@ -379,15 +379,17 @@ def network_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn
 
     bias_backup = getattr(self, "network_bias_backup", None)
     if bias_backup is None and wanted_names != ():
-        if current_names != ():
-            raise RuntimeError("no backup bias found and current bias are not unchanged")
-
         if isinstance(self, torch.nn.MultiheadAttention) and self.out_proj.bias is not None:
             bias_backup = self.out_proj.bias.to(devices.cpu, copy=True)
         elif getattr(self, 'bias', None) is not None:
             bias_backup = self.bias.to(devices.cpu, copy=True)
         else:
             bias_backup = None
+
+        # Unlike weight which always has value, some modules don't have bias.
+        # Only report if bias is not None and current bias are not unchanged.
+        if bias_backup is not None and current_names != ():
+            raise RuntimeError("no backup bias found and current bias are not unchanged")
         self.network_bias_backup = bias_backup
 
     if current_names != wanted_names:

From 221ac0b9abd2e39ccc6f1969a434f05dcd72b29a Mon Sep 17 00:00:00 2001
From: Andray <light.and.ray@gmail.com>
Date: Thu, 16 May 2024 23:08:24 +0400
Subject: [PATCH 069/125] img2img batch upload method

---
 modules/img2img.py | 20 +++++++++++++++-----
 modules/ui.py      | 31 ++++++++++++++++++++-----------
 2 files changed, 35 insertions(+), 16 deletions(-)

diff --git a/modules/img2img.py b/modules/img2img.py
index a1d042c2123..24f869f5c6a 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -17,11 +17,14 @@
 import modules.scripts
 
 
-def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args, to_scale=False, scale_by=1.0, use_png_info=False, png_info_props=None, png_info_dir=None):
+def process_batch(p, input, output_dir, inpaint_mask_dir, args, to_scale=False, scale_by=1.0, use_png_info=False, png_info_props=None, png_info_dir=None):
     output_dir = output_dir.strip()
     processing.fix_seed(p)
 
-    batch_images = list(shared.walk_files(input_dir, allowed_extensions=(".png", ".jpg", ".jpeg", ".webp", ".tif", ".tiff")))
+    if isinstance(input, str):
+        batch_images = list(shared.walk_files(input, allowed_extensions=(".png", ".jpg", ".jpeg", ".webp", ".tif", ".tiff")))
+    else:
+        batch_images = [os.path.abspath(x.name) for x in input]
 
     is_inpaint_batch = False
     if inpaint_mask_dir:
@@ -146,7 +149,7 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args, to_scale=Fal
     return batch_results
 
 
-def img2img(id_task: str, request: gr.Request, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, mask_blur: int, mask_alpha: float, inpainting_fill: int, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, img2img_batch_use_png_info: bool, img2img_batch_png_info_props: list, img2img_batch_png_info_dir: str, *args):
+def img2img(id_task: str, request: gr.Request, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, mask_blur: int, mask_alpha: float, inpainting_fill: int, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, img2img_batch_use_png_info: bool, img2img_batch_png_info_props: list, img2img_batch_png_info_dir: str, img2img_batch_source_type: str, img2img_batch_upload: list, *args):
     override_settings = create_override_settings_dict(override_settings_texts)
 
     is_batch = mode == 5
@@ -221,8 +224,15 @@ def img2img(id_task: str, request: gr.Request, mode: int, prompt: str, negative_
 
     with closing(p):
         if is_batch:
-            assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled"
-            processed = process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir)
+            if img2img_batch_source_type == "upload":
+                assert isinstance(img2img_batch_upload, list) and img2img_batch_upload
+                output_dir = ""
+                inpaint_mask_dir = ""
+                png_info_dir = img2img_batch_png_info_dir if not shared.cmd_opts.hide_ui_dir_config else ""
+                processed = process_batch(p, img2img_batch_upload, output_dir, inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=png_info_dir)
+            else: # "from dir"
+                assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled"
+                processed = process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir)
 
             if processed is None:
                 processed = Processed(p, [], p.seed, "")
diff --git a/modules/ui.py b/modules/ui.py
index 403425f2985..f3ac4236774 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -566,18 +566,25 @@ def update_orig(image, state):
                                 init_mask_inpaint = gr.Image(label="Mask", source="upload", interactive=True, type="pil", image_mode="RGBA", elem_id="img_inpaint_mask")
 
                             with gr.TabItem('Batch', id='batch', elem_id="img2img_batch_tab") as tab_batch:
-                                hidden = '<br>Disabled when launched with --hide-ui-dir-config.' if shared.cmd_opts.hide_ui_dir_config else ''
-                                gr.HTML(
-                                    "<p style='padding-bottom: 1em;' class=\"text-gray-500\">Process images in a directory on the same machine where the server is running." +
-                                    "<br>Use an empty output directory to save pictures normally instead of writing to the output directory." +
-                                    f"<br>Add inpaint batch mask directory to enable inpaint batch processing."
-                                    f"{hidden}</p>"
-                                )
-                                img2img_batch_input_dir = gr.Textbox(label="Input directory", **shared.hide_dirs, elem_id="img2img_batch_input_dir")
-                                img2img_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs, elem_id="img2img_batch_output_dir")
-                                img2img_batch_inpaint_mask_dir = gr.Textbox(label="Inpaint batch mask directory (required for inpaint batch processing only)", **shared.hide_dirs, elem_id="img2img_batch_inpaint_mask_dir")
+                                with gr.Tabs(elem_id="img2img_batch_source"):
+                                    img2img_batch_source_type = gr.Textbox(visible=False, value="upload")
+                                    with gr.TabItem('Upload', id='batch_upload', elem_id="img2img_batch_upload_tab") as tab_batch_upload:
+                                        img2img_batch_upload = gr.Files(label="Files", interactive=True, elem_id="img2img_batch_upload")
+                                    with gr.TabItem('From directory', id='batch_from_dir', elem_id="img2img_batch_from_dir_tab") as tab_batch_from_dir:
+                                        hidden = '<br>Disabled when launched with --hide-ui-dir-config.' if shared.cmd_opts.hide_ui_dir_config else ''
+                                        gr.HTML(
+                                            "<p style='padding-bottom: 1em;' class=\"text-gray-500\">Process images in a directory on the same machine where the server is running." +
+                                            "<br>Use an empty output directory to save pictures normally instead of writing to the output directory." +
+                                            f"<br>Add inpaint batch mask directory to enable inpaint batch processing."
+                                            f"{hidden}</p>"
+                                        )
+                                        img2img_batch_input_dir = gr.Textbox(label="Input directory", **shared.hide_dirs, elem_id="img2img_batch_input_dir")
+                                        img2img_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs, elem_id="img2img_batch_output_dir")
+                                        img2img_batch_inpaint_mask_dir = gr.Textbox(label="Inpaint batch mask directory (required for inpaint batch processing only)", **shared.hide_dirs, elem_id="img2img_batch_inpaint_mask_dir")
+                                tab_batch_upload.select(fn=lambda: "upload", inputs=[], outputs=[img2img_batch_source_type])
+                                tab_batch_from_dir.select(fn=lambda: "from dir", inputs=[], outputs=[img2img_batch_source_type])
                                 with gr.Accordion("PNG info", open=False):
-                                    img2img_batch_use_png_info = gr.Checkbox(label="Append png info to prompts", **shared.hide_dirs, elem_id="img2img_batch_use_png_info")
+                                    img2img_batch_use_png_info = gr.Checkbox(label="Append png info to prompts", elem_id="img2img_batch_use_png_info")
                                     img2img_batch_png_info_dir = gr.Textbox(label="PNG info directory", **shared.hide_dirs, placeholder="Leave empty to use input directory", elem_id="img2img_batch_png_info_dir")
                                     img2img_batch_png_info_props = gr.CheckboxGroup(["Prompt", "Negative prompt", "Seed", "CFG scale", "Sampler", "Steps", "Model hash"], label="Parameters to take from png info", info="Prompts from png info will be appended to prompts set in ui.")
 
@@ -759,6 +766,8 @@ def select_img2img_tab(tab):
                     img2img_batch_use_png_info,
                     img2img_batch_png_info_props,
                     img2img_batch_png_info_dir,
+                    img2img_batch_source_type,
+                    img2img_batch_upload,
                 ] + custom_inputs,
                 outputs=[
                     output_panel.gallery,

From 58eec83a546b8d61500c7b801cb0bdbe7650f6a6 Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Thu, 16 May 2024 16:39:02 -0400
Subject: [PATCH 070/125] Fully prevent use_checkpoint

---
 modules/sd_models.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index ff245b7a668..a33fa7c33f8 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -551,6 +551,11 @@ def repair_config(sd_config):
         karlo_path = os.path.join(paths.models_path, 'karlo')
         sd_config.model.params.noise_aug_config.params.clip_stats_path = sd_config.model.params.noise_aug_config.params.clip_stats_path.replace("checkpoints/karlo_models", karlo_path)
 
+    # Do not use checkpoint for inference.
+    # This helps prevent extra performance overhead on checking parameters.
+    # The perf overhead is about 100ms/it on 4090.
+    sd_config.model.params.network_config.params.use_checkpoint = False
+
 
 def rescale_zero_terminal_snr_abar(alphas_cumprod):
     alphas_bar_sqrt = alphas_cumprod.sqrt()

From 2a8a60c2c50473f0ece5804d4a2cde0d1ff3d35e Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Thu, 16 May 2024 19:50:06 -0400
Subject: [PATCH 071/125] Add --precision half cmd option

---
 modules/cmd_args.py        |  2 +-
 modules/devices.py         | 24 ++++++++++++++++++++++++
 modules/sd_hijack_unet.py  | 29 ++++++++++++++++++++++-------
 modules/sd_hijack_utils.py | 26 +++++++++++++++-----------
 modules/sd_models.py       |  1 +
 modules/shared_init.py     |  8 ++++++++
 6 files changed, 71 insertions(+), 19 deletions(-)

diff --git a/modules/cmd_args.py b/modules/cmd_args.py
index 016a33d1057..58c5e5d5b10 100644
--- a/modules/cmd_args.py
+++ b/modules/cmd_args.py
@@ -41,7 +41,7 @@
 parser.add_argument("--lowram", action='store_true', help="load stable diffusion checkpoint weights to VRAM instead of RAM")
 parser.add_argument("--always-batch-cond-uncond", action='store_true', help="does not do anything")
 parser.add_argument("--unload-gfpgan", action='store_true', help="does not do anything.")
-parser.add_argument("--precision", type=str, help="evaluate at this precision", choices=["full", "autocast"], default="autocast")
+parser.add_argument("--precision", type=str, help="evaluate at this precision", choices=["full", "half", "autocast"], default="autocast")
 parser.add_argument("--upcast-sampling", action='store_true', help="upcast sampling. No effect with --no-half. Usually produces similar results to --no-half with better performance while using less memory.")
 parser.add_argument("--share", action='store_true', help="use share=True for gradio and make the UI accessible through their site")
 parser.add_argument("--ngrok", type=str, help="ngrok authtoken, alternative to gradio --share", default=None)
diff --git a/modules/devices.py b/modules/devices.py
index e4f671ac659..7de34ac51c3 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -114,6 +114,9 @@ def enable_tf32():
 
 cpu: torch.device = torch.device("cpu")
 fp8: bool = False
+# Force fp16 for all models in inference. No casting during inference.
+# This flag is controlled by "--precision half" command line arg.
+force_fp16: bool = False
 device: torch.device = None
 device_interrogate: torch.device = None
 device_gfpgan: torch.device = None
@@ -127,6 +130,8 @@ def enable_tf32():
 
 
 def cond_cast_unet(input):
+    if force_fp16:
+        return input.to(torch.float16)
     return input.to(dtype_unet) if unet_needs_upcast else input
 
 
@@ -206,6 +211,11 @@ def autocast(disable=False):
     if disable:
         return contextlib.nullcontext()
 
+    if force_fp16:
+        # No casting during inference if force_fp16 is enabled.
+        # All tensor dtype conversion happens before inference.
+        return contextlib.nullcontext()
+
     if fp8 and device==cpu:
         return torch.autocast("cpu", dtype=torch.bfloat16, enabled=True)
 
@@ -269,3 +279,17 @@ def first_time_calculation():
     x = torch.zeros((1, 1, 3, 3)).to(device, dtype)
     conv2d = torch.nn.Conv2d(1, 1, (3, 3)).to(device, dtype)
     conv2d(x)
+
+
+def force_model_fp16():
+    """
+    ldm and sgm has modules.diffusionmodules.util.GroupNorm32.forward, which
+    force conversion of input to float32. If force_fp16 is enabled, we need to
+    prevent this casting.
+    """
+    assert force_fp16
+    import sgm.modules.diffusionmodules.util as sgm_util
+    import ldm.modules.diffusionmodules.util as ldm_util
+    sgm_util.GroupNorm32 = torch.nn.GroupNorm
+    ldm_util.GroupNorm32 = torch.nn.GroupNorm
+    print("ldm/sgm GroupNorm32 replaced with normal torch.nn.GroupNorm due to `--precision half`.")
diff --git a/modules/sd_hijack_unet.py b/modules/sd_hijack_unet.py
index 2101f1a0415..41955313a31 100644
--- a/modules/sd_hijack_unet.py
+++ b/modules/sd_hijack_unet.py
@@ -36,7 +36,7 @@ def cat(self, tensors, *args, **kwargs):
 
 # Below are monkey patches to enable upcasting a float16 UNet for float32 sampling
 def apply_model(orig_func, self, x_noisy, t, cond, **kwargs):
-
+    """Always make sure inputs to unet are in correct dtype."""
     if isinstance(cond, dict):
         for y in cond.keys():
             if isinstance(cond[y], list):
@@ -45,7 +45,11 @@ def apply_model(orig_func, self, x_noisy, t, cond, **kwargs):
                 cond[y] = cond[y].to(devices.dtype_unet) if isinstance(cond[y], torch.Tensor) else cond[y]
 
     with devices.autocast():
-        return orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs).float()
+        result = orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs)
+        if devices.unet_needs_upcast:
+            return result.float()
+        else:
+            return result
 
 
 class GELUHijack(torch.nn.GELU, torch.nn.Module):
@@ -64,12 +68,11 @@ def hijack_ddpm_edit():
     if not ddpm_edit_hijack:
         CondFunc('modules.models.diffusion.ddpm_edit.LatentDiffusion.decode_first_stage', first_stage_sub, first_stage_cond)
         CondFunc('modules.models.diffusion.ddpm_edit.LatentDiffusion.encode_first_stage', first_stage_sub, first_stage_cond)
-        ddpm_edit_hijack = CondFunc('modules.models.diffusion.ddpm_edit.LatentDiffusion.apply_model', apply_model, unet_needs_upcast)
+        ddpm_edit_hijack = CondFunc('modules.models.diffusion.ddpm_edit.LatentDiffusion.apply_model', apply_model)
 
 
 unet_needs_upcast = lambda *args, **kwargs: devices.unet_needs_upcast
-CondFunc('ldm.models.diffusion.ddpm.LatentDiffusion.apply_model', apply_model, unet_needs_upcast)
-CondFunc('ldm.modules.diffusionmodules.openaimodel.timestep_embedding', lambda orig_func, timesteps, *args, **kwargs: orig_func(timesteps, *args, **kwargs).to(torch.float32 if timesteps.dtype == torch.int64 else devices.dtype_unet), unet_needs_upcast)
+
 if version.parse(torch.__version__) <= version.parse("1.13.2") or torch.cuda.is_available():
     CondFunc('ldm.modules.diffusionmodules.util.GroupNorm32.forward', lambda orig_func, self, *args, **kwargs: orig_func(self.float(), *args, **kwargs), unet_needs_upcast)
     CondFunc('ldm.modules.attention.GEGLU.forward', lambda orig_func, self, x: orig_func(self.float(), x.float()).to(devices.dtype_unet), unet_needs_upcast)
@@ -81,5 +84,17 @@ def hijack_ddpm_edit():
 CondFunc('ldm.models.diffusion.ddpm.LatentDiffusion.encode_first_stage', first_stage_sub, first_stage_cond)
 CondFunc('ldm.models.diffusion.ddpm.LatentDiffusion.get_first_stage_encoding', lambda orig_func, *args, **kwargs: orig_func(*args, **kwargs).float(), first_stage_cond)
 
-CondFunc('sgm.modules.diffusionmodules.wrappers.OpenAIWrapper.forward', apply_model, unet_needs_upcast)
-CondFunc('sgm.modules.diffusionmodules.openaimodel.timestep_embedding', lambda orig_func, timesteps, *args, **kwargs: orig_func(timesteps, *args, **kwargs).to(torch.float32 if timesteps.dtype == torch.int64 else devices.dtype_unet), unet_needs_upcast)
+CondFunc('ldm.models.diffusion.ddpm.LatentDiffusion.apply_model', apply_model)
+CondFunc('sgm.modules.diffusionmodules.wrappers.OpenAIWrapper.forward', apply_model)
+
+
+def timestep_embedding_cast_result(orig_func, timesteps, *args, **kwargs):
+    if devices.unet_needs_upcast and timesteps.dtype == torch.int64:
+        dtype = torch.float32
+    else:
+        dtype = devices.dtype_unet
+    return orig_func(timesteps, *args, **kwargs).to(dtype=dtype)
+
+
+CondFunc('ldm.modules.diffusionmodules.openaimodel.timestep_embedding', timestep_embedding_cast_result)
+CondFunc('sgm.modules.diffusionmodules.openaimodel.timestep_embedding', timestep_embedding_cast_result)
diff --git a/modules/sd_hijack_utils.py b/modules/sd_hijack_utils.py
index 79bf6e46862..546f2eda4ec 100644
--- a/modules/sd_hijack_utils.py
+++ b/modules/sd_hijack_utils.py
@@ -1,7 +1,11 @@
 import importlib
 
+
+always_true_func = lambda *args, **kwargs: True
+
+
 class CondFunc:
-    def __new__(cls, orig_func, sub_func, cond_func):
+    def __new__(cls, orig_func, sub_func, cond_func=always_true_func):
         self = super(CondFunc, cls).__new__(cls)
         if isinstance(orig_func, str):
             func_path = orig_func.split('.')
@@ -20,13 +24,13 @@ def __new__(cls, orig_func, sub_func, cond_func):
                 print(f"Warning: Failed to resolve {orig_func} for CondFunc hijack")
                 pass
         self.__init__(orig_func, sub_func, cond_func)
-        return lambda *args, **kwargs: self(*args, **kwargs)
-    def __init__(self, orig_func, sub_func, cond_func):
-        self.__orig_func = orig_func
-        self.__sub_func = sub_func
-        self.__cond_func = cond_func
-    def __call__(self, *args, **kwargs):
-        if not self.__cond_func or self.__cond_func(self.__orig_func, *args, **kwargs):
-            return self.__sub_func(self.__orig_func, *args, **kwargs)
-        else:
-            return self.__orig_func(*args, **kwargs)
+        return lambda *args, **kwargs: self(*args, **kwargs)
+    def __init__(self, orig_func, sub_func, cond_func):
+        self.__orig_func = orig_func
+        self.__sub_func = sub_func
+        self.__cond_func = cond_func
+    def __call__(self, *args, **kwargs):
+        if not self.__cond_func or self.__cond_func(self.__orig_func, *args, **kwargs):
+            return self.__sub_func(self.__orig_func, *args, **kwargs)
+        else:
+            return self.__orig_func(*args, **kwargs)
diff --git a/modules/sd_models.py b/modules/sd_models.py
index ff245b7a668..9c59091683a 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -403,6 +403,7 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
         model.float()
         model.alphas_cumprod_original = model.alphas_cumprod
         devices.dtype_unet = torch.float32
+        assert shared.cmd_opts.precision != "half", "Cannot use --precision half with --no-half"
         timer.record("apply float()")
     else:
         vae = model.first_stage_model
diff --git a/modules/shared_init.py b/modules/shared_init.py
index 935e3a21cf2..a6ad0433d6f 100644
--- a/modules/shared_init.py
+++ b/modules/shared_init.py
@@ -31,6 +31,14 @@ def initialize():
     devices.dtype_vae = torch.float32 if cmd_opts.no_half or cmd_opts.no_half_vae else torch.float16
     devices.dtype_inference = torch.float32 if cmd_opts.precision == 'full' else devices.dtype
 
+    if cmd_opts.precision == "half":
+        msg = "--no-half and --no-half-vae conflict with --precision half"
+        assert devices.dtype == torch.float16, msg
+        assert devices.dtype_vae == torch.float16, msg
+        assert devices.dtype_inference == torch.float16, msg
+        devices.force_fp16 = True
+        devices.force_model_fp16()
+
     shared.device = devices.device
     shared.weight_load_location = None if cmd_opts.lowram else "cpu"
 

From 47f1d42a7e77259e2e7418ae8f941718c55cfd25 Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Thu, 16 May 2024 20:06:04 -0400
Subject: [PATCH 072/125] Fix for SD15 models

---
 modules/sd_models.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index a33fa7c33f8..cda142bdd3c 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -553,8 +553,11 @@ def repair_config(sd_config):
 
     # Do not use checkpoint for inference.
     # This helps prevent extra performance overhead on checking parameters.
-    # The perf overhead is about 100ms/it on 4090.
-    sd_config.model.params.network_config.params.use_checkpoint = False
+    # The perf overhead is about 100ms/it on 4090 for SDXL.
+    if hasattr(sd_config.model.params, "network_config"):
+        sd_config.model.params.network_config.params.use_checkpoint = False
+    if hasattr(sd_config.model.params, "unet_config"):
+        sd_config.model.params.unet_config.params.use_checkpoint = False
 
 
 def rescale_zero_terminal_snr_abar(alphas_cumprod):

From 01491d303ce216820513c5cee998801359b8cbba Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Fri, 17 May 2024 10:36:08 -0400
Subject: [PATCH 073/125] Keep sigmas on CPU

---
 modules/sd_samplers_kdiffusion.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py
index b45f85b07a8..228de49449e 100644
--- a/modules/sd_samplers_kdiffusion.py
+++ b/modules/sd_samplers_kdiffusion.py
@@ -115,7 +115,7 @@ def get_sigmas(self, p, steps):
             if scheduler.need_inner_model:
                 sigmas_kwargs['inner_model'] = self.model_wrap
 
-            sigmas = scheduler.function(n=steps, **sigmas_kwargs, device=shared.device)
+            sigmas = scheduler.function(n=steps, **sigmas_kwargs)
 
         if discard_next_to_last_sigma:
             sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])

From 10f2407f48fa3a8bbd299068e5f67108f272b87d Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 18 May 2024 00:44:02 +0900
Subject: [PATCH 074/125] xyz csv skipinitialspace

---
 scripts/xyz_grid.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index b9fd66fe54b..d416e4c0759 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -212,7 +212,7 @@ def list_to_csv_string(data_list):
 
 
 def csv_string_to_list_strip(data_str):
-    return list(map(str.strip, chain.from_iterable(csv.reader(StringIO(data_str)))))
+    return list(map(str.strip, chain.from_iterable(csv.reader(StringIO(data_str), skipinitialspace=True))))
 
 
 class AxisOption:

From 53d67088ee0fb190c3ae1330c2b876dedb16dd8b Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Fri, 17 May 2024 12:12:57 -0400
Subject: [PATCH 075/125] Patch timestep embedding to create tensor on-device

---
 modules/sd_hijack_unet.py | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/modules/sd_hijack_unet.py b/modules/sd_hijack_unet.py
index 2101f1a0415..0dabbe0e43d 100644
--- a/modules/sd_hijack_unet.py
+++ b/modules/sd_hijack_unet.py
@@ -1,5 +1,7 @@
 import torch
 from packaging import version
+from einops import repeat
+import math
 
 from modules import devices
 from modules.sd_hijack_utils import CondFunc
@@ -48,6 +50,30 @@ def apply_model(orig_func, self, x_noisy, t, cond, **kwargs):
         return orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs).float()
 
 
+# Monkey patch to create timestep embed tensor on device, avoiding a block.
+def timestep_embedding(_, timesteps, dim, max_period=10000, repeat_only=False):
+    """
+    Create sinusoidal timestep embeddings.
+    :param timesteps: a 1-D Tensor of N indices, one per batch element.
+                      These may be fractional.
+    :param dim: the dimension of the output.
+    :param max_period: controls the minimum frequency of the embeddings.
+    :return: an [N x dim] Tensor of positional embeddings.
+    """
+    if not repeat_only:
+        half = dim // 2
+        freqs = torch.exp(
+            -math.log(max_period) * torch.arange(start=0, end=half, dtype=torch.float32, device=timesteps.device) / half
+        )
+        args = timesteps[:, None].float() * freqs[None]
+        embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1)
+        if dim % 2:
+            embedding = torch.cat([embedding, torch.zeros_like(embedding[:, :1])], dim=-1)
+    else:
+        embedding = repeat(timesteps, 'b -> b d', d=dim)
+    return embedding
+
+
 class GELUHijack(torch.nn.GELU, torch.nn.Module):
     def __init__(self, *args, **kwargs):
         torch.nn.GELU.__init__(self, *args, **kwargs)
@@ -69,6 +95,7 @@ def hijack_ddpm_edit():
 
 unet_needs_upcast = lambda *args, **kwargs: devices.unet_needs_upcast
 CondFunc('ldm.models.diffusion.ddpm.LatentDiffusion.apply_model', apply_model, unet_needs_upcast)
+CondFunc('ldm.modules.diffusionmodules.openaimodel.timestep_embedding', timestep_embedding)
 CondFunc('ldm.modules.diffusionmodules.openaimodel.timestep_embedding', lambda orig_func, timesteps, *args, **kwargs: orig_func(timesteps, *args, **kwargs).to(torch.float32 if timesteps.dtype == torch.int64 else devices.dtype_unet), unet_needs_upcast)
 if version.parse(torch.__version__) <= version.parse("1.13.2") or torch.cuda.is_available():
     CondFunc('ldm.modules.diffusionmodules.util.GroupNorm32.forward', lambda orig_func, self, *args, **kwargs: orig_func(self.float(), *args, **kwargs), unet_needs_upcast)

From cc9ca67664ef72931af9a4dced88a8434c5d4f16 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Fri, 17 May 2024 13:14:26 -0400
Subject: [PATCH 076/125] Add transformer forward patch

---
 modules/sd_hijack_unet.py | 27 ++++++++++++++++++++++++++-
 1 file changed, 26 insertions(+), 1 deletion(-)

diff --git a/modules/sd_hijack_unet.py b/modules/sd_hijack_unet.py
index 0dabbe0e43d..c680367ebb3 100644
--- a/modules/sd_hijack_unet.py
+++ b/modules/sd_hijack_unet.py
@@ -74,6 +74,30 @@ def timestep_embedding(_, timesteps, dim, max_period=10000, repeat_only=False):
     return embedding
 
 
+# Monkey patch to SpatialTransformer removing unnecessary contiguous calls.
+# Prevents a lot of unnecessary aten::copy_ calls
+def spatial_transformer_forward(_, self, x: torch.Tensor, context=None):
+    # note: if no context is given, cross-attention defaults to self-attention
+    if not isinstance(context, list):
+        context = [context]
+    b, c, h, w = x.shape
+    x_in = x
+    x = self.norm(x)
+    if not self.use_linear:
+        x = self.proj_in(x)
+    x = x.permute(0, 2, 3, 1).reshape(b, h * w, c)
+    if self.use_linear:
+        x = self.proj_in(x)
+    for i, block in enumerate(self.transformer_blocks):
+        x = block(x, context=context[i])
+    if self.use_linear:
+        x = self.proj_out(x)
+    x = x.view(b, h, w, c).permute(0, 3, 1, 2)
+    if not self.use_linear:
+        x = self.proj_out(x)
+    return x + x_in
+
+
 class GELUHijack(torch.nn.GELU, torch.nn.Module):
     def __init__(self, *args, **kwargs):
         torch.nn.GELU.__init__(self, *args, **kwargs)
@@ -95,7 +119,8 @@ def hijack_ddpm_edit():
 
 unet_needs_upcast = lambda *args, **kwargs: devices.unet_needs_upcast
 CondFunc('ldm.models.diffusion.ddpm.LatentDiffusion.apply_model', apply_model, unet_needs_upcast)
-CondFunc('ldm.modules.diffusionmodules.openaimodel.timestep_embedding', timestep_embedding)
+CondFunc('ldm.modules.diffusionmodules.openaimodel.timestep_embedding', timestep_embedding, lambda *args, **kwargs: True)
+CondFunc('ldm.modules.attention.SpatialTransformer.forward', spatial_transformer_forward, lambda *args, **kwargs: True)
 CondFunc('ldm.modules.diffusionmodules.openaimodel.timestep_embedding', lambda orig_func, timesteps, *args, **kwargs: orig_func(timesteps, *args, **kwargs).to(torch.float32 if timesteps.dtype == torch.int64 else devices.dtype_unet), unet_needs_upcast)
 if version.parse(torch.__version__) <= version.parse("1.13.2") or torch.cuda.is_available():
     CondFunc('ldm.modules.diffusionmodules.util.GroupNorm32.forward', lambda orig_func, self, *args, **kwargs: orig_func(self.float(), *args, **kwargs), unet_needs_upcast)

From dca9007ac7a9852752d91d34d2ed1feaef6a03f2 Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Fri, 17 May 2024 13:23:12 -0400
Subject: [PATCH 077/125] Fix SD15 dtype

---
 modules/sd_models.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index 9c59091683a..7d4ab0fd89a 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -733,6 +733,10 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None):
             sd_model = instantiate_from_config(sd_config.model)
 
     sd_model.used_config = checkpoint_config
+    # ldm's Unet is using self.dtype to cast input tensor. If we do not overwrite
+    # UnetModel.dtype, it will be the default dtype from config.
+    # sgm's Unet is not using dtype for casting. The value will be ignored.
+    sd_model.model.diffusion_model.dtype = devices.dtype_unet
 
     timer.record("create model")
 

From b57a70f37322142939f7429f287599e027108bfc Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Fri, 17 May 2024 13:34:04 -0400
Subject: [PATCH 078/125] Proper fix of SD15 dtype

---
 modules/sd_models.py | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index 7d4ab0fd89a..26a5127cd04 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -541,7 +541,7 @@ def repair_config(sd_config):
     if hasattr(sd_config.model.params, 'unet_config'):
         if shared.cmd_opts.no_half:
             sd_config.model.params.unet_config.params.use_fp16 = False
-        elif shared.cmd_opts.upcast_sampling:
+        elif shared.cmd_opts.upcast_sampling or shared.cmd_opts.precision == "half":
             sd_config.model.params.unet_config.params.use_fp16 = True
 
     if getattr(sd_config.model.params.first_stage_config.params.ddconfig, "attn_type", None) == "vanilla-xformers" and not shared.xformers_available:
@@ -733,10 +733,6 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None):
             sd_model = instantiate_from_config(sd_config.model)
 
     sd_model.used_config = checkpoint_config
-    # ldm's Unet is using self.dtype to cast input tensor. If we do not overwrite
-    # UnetModel.dtype, it will be the default dtype from config.
-    # sgm's Unet is not using dtype for casting. The value will be ignored.
-    sd_model.model.diffusion_model.dtype = devices.dtype_unet
 
     timer.record("create model")
 

From 1d7448281751ea3223c681a82de8219a6fbe1d22 Mon Sep 17 00:00:00 2001
From: Logan <loganbooker@gmail.com>
Date: Sat, 18 May 2024 09:09:57 +1000
Subject: [PATCH 079/125] Default device for sigma tensor to CPU

* Consistent with implementations in k-diffusion.
* Makes this compatible with https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15823
---
 modules/sd_schedulers.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
index 0ac1f7a21f8..4ddb778501a 100644
--- a/modules/sd_schedulers.py
+++ b/modules/sd_schedulers.py
@@ -33,7 +33,7 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
     sigs += [0.0]
     return torch.FloatTensor(sigs).to(device)
 
-def get_align_your_steps_sigmas(n, sigma_min, sigma_max, device):
+def get_align_your_steps_sigmas(n, sigma_min, sigma_max, device='cpu'):
     # https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html
     def loglinear_interp(t_steps, num_steps):
         """

From 281e0a007b102c7fc9f6150fb88c95470dc25a17 Mon Sep 17 00:00:00 2001
From: Andray <light.and.ray@gmail.com>
Date: Sat, 18 May 2024 09:13:16 +0400
Subject: [PATCH 080/125] scroll extensions table on overflow

---
 style.css | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/style.css b/style.css
index f6a89b8f90d..5ec803a0411 100644
--- a/style.css
+++ b/style.css
@@ -807,6 +807,8 @@ table.popup-table .link{
 
 #tab_extensions table{
     border-collapse: collapse;
+    overflow-x: auto;
+    display: block;
 }
 
 #tab_extensions table td, #tab_extensions table th{

From feeb6802aa71fad190da2e051e50af84a94eda85 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Sat, 18 May 2024 01:22:31 -0400
Subject: [PATCH 081/125] fix case where first step skilled if skip early cond
 is 0

---
 modules/sd_samplers_cfg_denoiser.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py
index 082a4f63c63..d89ea2c8bfc 100644
--- a/modules/sd_samplers_cfg_denoiser.py
+++ b/modules/sd_samplers_cfg_denoiser.py
@@ -212,7 +212,7 @@ def apply_blend(current_latent):
         uncond = denoiser_params.text_uncond
         skip_uncond = False
 
-        if self.step / self.total_steps <= shared.opts.skip_early_cond:
+        if shared.opts.skip_early_cond != 0. and self.step / self.total_steps <= shared.opts.skip_early_cond:
             skip_uncond = True
             x_in = x_in[:-batch_size]
             sigma_in = sigma_in[:-batch_size]

From 501ac016da8c28ff4778219f142f0622083237ce Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 18 May 2024 18:37:37 +0900
Subject: [PATCH 082/125] Reformat

---
 scripts/xyz_grid.py | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index b9fd66fe54b..b23fd4770ef 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -162,12 +162,14 @@ def fun(p, x, xs):
         if boolean:
             x = True if x.lower() == "true" else False
         p.override_settings[field] = x
+
     return fun
 
 
 def boolean_choice(reverse: bool = False):
     def choice():
         return ["False", "True"] if reverse else ["True", "False"]
+
     return choice
 
 
@@ -572,7 +574,7 @@ def process_axis(opt, vals, vals_dropdown):
                     mc = re_range_count.fullmatch(val)
                     if m is not None:
                         start = int(m.group(1))
-                        end = int(m.group(2))+1
+                        end = int(m.group(2)) + 1
                         step = int(m.group(3)) if m.group(3) is not None else 1
 
                         valslist_ext += list(range(start, end, step))
@@ -725,11 +727,11 @@ def cell(x, y, z, ix, iy, iz):
             ydim = len(ys) if vary_seeds_y else 1
 
             if vary_seeds_x:
-               pc.seed += ix
+                pc.seed += ix
             if vary_seeds_y:
-               pc.seed += iy * xdim
+                pc.seed += iy * xdim
             if vary_seeds_z:
-               pc.seed += iz * xdim * ydim
+                pc.seed += iz * xdim * ydim
 
             try:
                 res = process_images(pc)
@@ -797,18 +799,18 @@ def cell(x, y, z, ix, iy, iz):
         z_count = len(zs)
 
         # Set the grid infotexts to the real ones with extra_generation_params (1 main grid + z_count sub-grids)
-        processed.infotexts[:1+z_count] = grid_infotext[:1+z_count]
+        processed.infotexts[:1 + z_count] = grid_infotext[:1 + z_count]
 
         if not include_lone_images:
             # Don't need sub-images anymore, drop from list:
-            processed.images = processed.images[:z_count+1]
+            processed.images = processed.images[:z_count + 1]
 
         if opts.grid_save:
             # Auto-save main and sub-grids:
             grid_count = z_count + 1 if z_count > 1 else 1
             for g in range(grid_count):
                 # TODO: See previous comment about intentional data misalignment.
-                adj_g = g-1 if g > 0 else g
+                adj_g = g - 1 if g > 0 else g
                 images.save_image(processed.images[g], p.outpath_grids, "xyz_grid", info=processed.infotexts[g], extension=opts.grid_format, prompt=processed.all_prompts[adj_g], seed=processed.all_seeds[adj_g], grid=True, p=processed)
                 if not include_sub_grids:  # if not include_sub_grids then skip saving after the first grid
                     break

From 969a462ac9ea52eb61b8de9fd685cc477c8b8dac Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 18 May 2024 18:27:34 +0900
Subject: [PATCH 083/125] xyz util confirm_range

---
 scripts/xyz_grid.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index b23fd4770ef..81c7abe9562 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -95,6 +95,17 @@ def confirm_checkpoints_or_none(p, xs):
             raise RuntimeError(f"Unknown checkpoint: {x}")
 
 
+def confirm_range(min_val, max_val, axis_label):
+    """Generates a AxisOption.confirm() function that checks all values are within the specified range."""
+
+    def confirm_range_fun(p, xs):
+        for x in xs:
+            if not (max_val >= x >= min_val):
+                raise ValueError(f'{axis_label} value "{x}" out of range [{min_val}, {max_val}]')
+
+    return confirm_range_fun
+
+
 def apply_clip_skip(p, x, xs):
     opts.data["CLIP_stop_at_last_layers"] = x
 

From 24a59ad3d2f9f44130746fdfe54f9f51ba74e77f Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 18 May 2024 15:36:49 +0900
Subject: [PATCH 084/125] fix Hypertile xyz grid

---
 .../hypertile/scripts/hypertile_script.py     | 17 ++++++-
 .../hypertile/scripts/hypertile_xyz.py        | 51 -------------------
 2 files changed, 15 insertions(+), 53 deletions(-)
 delete mode 100644 extensions-builtin/hypertile/scripts/hypertile_xyz.py

diff --git a/extensions-builtin/hypertile/scripts/hypertile_script.py b/extensions-builtin/hypertile/scripts/hypertile_script.py
index 395d584b605..59e7f9907e5 100644
--- a/extensions-builtin/hypertile/scripts/hypertile_script.py
+++ b/extensions-builtin/hypertile/scripts/hypertile_script.py
@@ -1,6 +1,5 @@
 import hypertile
 from modules import scripts, script_callbacks, shared
-from scripts.hypertile_xyz import add_axis_options
 
 
 class ScriptHypertile(scripts.Script):
@@ -93,7 +92,6 @@ def on_ui_settings():
         "hypertile_max_depth_unet": shared.OptionInfo(3, "Hypertile U-Net max depth", gr.Slider, {"minimum": 0, "maximum": 3, "step": 1}, infotext="Hypertile U-Net max depth").info("larger = more neural network layers affected; minor effect on performance"),
         "hypertile_max_tile_unet": shared.OptionInfo(256, "Hypertile U-Net max tile size", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}, infotext="Hypertile U-Net max tile size").info("larger = worse performance"),
         "hypertile_swap_size_unet": shared.OptionInfo(3, "Hypertile U-Net swap size", gr.Slider, {"minimum": 0, "maximum": 64, "step": 1}, infotext="Hypertile U-Net swap size"),
-
         "hypertile_enable_vae": shared.OptionInfo(False, "Enable Hypertile VAE", infotext="Hypertile VAE").info("minimal change in the generated picture"),
         "hypertile_max_depth_vae": shared.OptionInfo(3, "Hypertile VAE max depth", gr.Slider, {"minimum": 0, "maximum": 3, "step": 1}, infotext="Hypertile VAE max depth"),
         "hypertile_max_tile_vae": shared.OptionInfo(128, "Hypertile VAE max tile size", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}, infotext="Hypertile VAE max tile size"),
@@ -105,5 +103,20 @@ def on_ui_settings():
         shared.opts.add_option(name, opt)
 
 
+def add_axis_options():
+    xyz_grid = [x for x in scripts.scripts_data if x.script_class.__module__ == "xyz_grid.py"][0].module
+    xyz_grid.axis_options.extend([
+        xyz_grid.AxisOption("[Hypertile] Unet First pass Enabled", str, xyz_grid.apply_override('hypertile_enable_unet', boolean=True), choices=xyz_grid.boolean_choice(reverse=True)),
+        xyz_grid.AxisOption("[Hypertile] Unet Second pass Enabled", str, xyz_grid.apply_override('hypertile_enable_unet_secondpass', boolean=True), choices=xyz_grid.boolean_choice(reverse=True)),
+        xyz_grid.AxisOption("[Hypertile] Unet Max Depth", int, xyz_grid.apply_override("hypertile_max_depth_unet"), confirm=xyz_grid.confirm_range(0, 3, '[Hypertile] Unet Max Depth'), choices=lambda: [str(x) for x in range(4)]),
+        xyz_grid.AxisOption("[Hypertile] Unet Max Tile Size", int, xyz_grid.apply_override("hypertile_max_tile_unet"), confirm=xyz_grid.confirm_range(0, 512, '[Hypertile] Unet Max Tile Size')),
+        xyz_grid.AxisOption("[Hypertile] Unet Swap Size", int, xyz_grid.apply_override("hypertile_swap_size_unet"), confirm=xyz_grid.confirm_range(0, 64, '[Hypertile] Unet Swap Size')),
+        xyz_grid.AxisOption("[Hypertile] VAE Enabled", str, xyz_grid.apply_override('hypertile_enable_vae', boolean=True), choices=xyz_grid.boolean_choice(reverse=True)),
+        xyz_grid.AxisOption("[Hypertile] VAE Max Depth", int, xyz_grid.apply_override("hypertile_max_depth_vae"), confirm=xyz_grid.confirm_range(0, 3, '[Hypertile] VAE Max Depth'), choices=lambda: [str(x) for x in range(4)]),
+        xyz_grid.AxisOption("[Hypertile] VAE Max Tile Size", int, xyz_grid.apply_override("hypertile_max_tile_vae"), confirm=xyz_grid.confirm_range(0, 512, '[Hypertile] VAE Max Tile Size')),
+        xyz_grid.AxisOption("[Hypertile] VAE Swap Size", int, xyz_grid.apply_override("hypertile_swap_size_vae"), confirm=xyz_grid.confirm_range(0, 64, '[Hypertile] VAE Swap Size')),
+    ])
+
+
 script_callbacks.on_ui_settings(on_ui_settings)
 script_callbacks.on_before_ui(add_axis_options)
diff --git a/extensions-builtin/hypertile/scripts/hypertile_xyz.py b/extensions-builtin/hypertile/scripts/hypertile_xyz.py
deleted file mode 100644
index 9e96ae3c527..00000000000
--- a/extensions-builtin/hypertile/scripts/hypertile_xyz.py
+++ /dev/null
@@ -1,51 +0,0 @@
-from modules import scripts
-from modules.shared import opts
-
-xyz_grid = [x for x in scripts.scripts_data if x.script_class.__module__ == "xyz_grid.py"][0].module
-
-def int_applier(value_name:str, min_range:int = -1, max_range:int = -1):
-    """
-    Returns a function that applies the given value to the given value_name in opts.data.
-    """
-    def validate(value_name:str, value:str):
-        value = int(value)
-        # validate value
-        if not min_range == -1:
-            assert value >= min_range, f"Value {value} for {value_name} must be greater than or equal to {min_range}"
-        if not max_range == -1:
-            assert value <= max_range, f"Value {value} for {value_name} must be less than or equal to {max_range}"
-    def apply_int(p, x, xs):
-        validate(value_name, x)
-        opts.data[value_name] = int(x)
-    return apply_int
-
-def bool_applier(value_name:str):
-    """
-    Returns a function that applies the given value to the given value_name in opts.data.
-    """
-    def validate(value_name:str, value:str):
-        assert value.lower() in ["true", "false"], f"Value {value} for {value_name} must be either true or false"
-    def apply_bool(p, x, xs):
-        validate(value_name, x)
-        value_boolean = x.lower() == "true"
-        opts.data[value_name] = value_boolean
-    return apply_bool
-
-def add_axis_options():
-    extra_axis_options = [
-        xyz_grid.AxisOption("[Hypertile] Unet First pass Enabled", str, bool_applier("hypertile_enable_unet"), choices=xyz_grid.boolean_choice(reverse=True)),
-        xyz_grid.AxisOption("[Hypertile] Unet Second pass Enabled", str, bool_applier("hypertile_enable_unet_secondpass"), choices=xyz_grid.boolean_choice(reverse=True)),
-        xyz_grid.AxisOption("[Hypertile] Unet Max Depth", int, int_applier("hypertile_max_depth_unet", 0, 3), choices=lambda: [str(x) for x in range(4)]),
-        xyz_grid.AxisOption("[Hypertile] Unet Max Tile Size", int, int_applier("hypertile_max_tile_unet", 0, 512)),
-        xyz_grid.AxisOption("[Hypertile] Unet Swap Size", int, int_applier("hypertile_swap_size_unet", 0, 64)),
-        xyz_grid.AxisOption("[Hypertile] VAE Enabled", str, bool_applier("hypertile_enable_vae"), choices=xyz_grid.boolean_choice(reverse=True)),
-        xyz_grid.AxisOption("[Hypertile] VAE Max Depth", int, int_applier("hypertile_max_depth_vae", 0, 3), choices=lambda: [str(x) for x in range(4)]),
-        xyz_grid.AxisOption("[Hypertile] VAE Max Tile Size", int, int_applier("hypertile_max_tile_vae", 0, 512)),
-        xyz_grid.AxisOption("[Hypertile] VAE Swap Size", int, int_applier("hypertile_swap_size_vae", 0, 64)),
-    ]
-    set_a = {opt.label for opt in xyz_grid.axis_options}
-    set_b = {opt.label for opt in extra_axis_options}
-    if set_a.intersection(set_b):
-        return
-
-    xyz_grid.axis_options.extend(extra_axis_options)

From 82884da18c8f183c4ce0e7237953303f26610370 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sun, 19 May 2024 04:55:45 +0900
Subject: [PATCH 085/125] use apply_override for Clip skip

---
 scripts/xyz_grid.py | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index b9fd66fe54b..c7cb513338c 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -264,7 +264,7 @@ def __init__(self, *args, **kwargs):
     AxisOption("Schedule max sigma", float, apply_override("sigma_max")),
     AxisOption("Schedule rho", float, apply_override("rho")),
     AxisOption("Eta", float, apply_field("eta")),
-    AxisOption("Clip skip", int, apply_clip_skip),
+    AxisOption("Clip skip", int, apply_override('CLIP_stop_at_last_layers')),
     AxisOption("Denoising", float, apply_field("denoising_strength")),
     AxisOption("Initial noise multiplier", float, apply_field("initial_noise_multiplier")),
     AxisOption("Extra noise", float, apply_override("img2img_extra_noise")),
@@ -399,7 +399,6 @@ def index(ix, iy, iz):
 
 class SharedSettingsStackHelper(object):
     def __enter__(self):
-        self.CLIP_stop_at_last_layers = opts.CLIP_stop_at_last_layers
         self.vae = opts.sd_vae
         self.uni_pc_order = opts.uni_pc_order
 
@@ -409,8 +408,6 @@ def __exit__(self, exc_type, exc_value, tb):
         modules.sd_models.reload_model_weights()
         modules.sd_vae.reload_vae_weights()
 
-        opts.data["CLIP_stop_at_last_layers"] = self.CLIP_stop_at_last_layers
-
 
 re_range = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\(([+-]\d+)\s*\))?\s*")
 re_range_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d*)?)(?:\s*\(([+-]\d+(?:.\d*)?)\s*\))?\s*")

From 1f392517f8938e0082e189fa0c28f4eb89fb0eb2 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sun, 19 May 2024 04:59:05 +0900
Subject: [PATCH 086/125] use override for uni_pc_order

---
 scripts/xyz_grid.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index c7cb513338c..622cc43c3ca 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -140,7 +140,7 @@ def apply_styles(p: StableDiffusionProcessingTxt2Img, x: str, _):
 
 
 def apply_uni_pc_order(p, x, xs):
-    opts.data["uni_pc_order"] = min(x, p.steps - 1)
+    p.override_settings['uni_pc_order'] = min(x, p.steps - 1)
 
 
 def apply_face_restore(p, opt, x):
@@ -400,11 +400,9 @@ def index(ix, iy, iz):
 class SharedSettingsStackHelper(object):
     def __enter__(self):
         self.vae = opts.sd_vae
-        self.uni_pc_order = opts.uni_pc_order
 
     def __exit__(self, exc_type, exc_value, tb):
         opts.data["sd_vae"] = self.vae
-        opts.data["uni_pc_order"] = self.uni_pc_order
         modules.sd_models.reload_model_weights()
         modules.sd_vae.reload_vae_weights()
 

From 1e696b028adbd449df8c30ed760103b120ec5546 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sun, 19 May 2024 05:14:32 +0900
Subject: [PATCH 087/125] use override of sd_vae

---
 scripts/xyz_grid.py | 24 +++++++++---------------
 1 file changed, 9 insertions(+), 15 deletions(-)

diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index 622cc43c3ca..4c83e92b24e 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -118,21 +118,16 @@ def apply_size(p, x: str, xs) -> None:
 
 
 def find_vae(name: str):
-    if name.lower() in ['auto', 'automatic']:
-        return modules.sd_vae.unspecified
-    if name.lower() == 'none':
-        return None
-    else:
-        choices = [x for x in sorted(modules.sd_vae.vae_dict, key=lambda x: len(x)) if name.lower().strip() in x.lower()]
-        if len(choices) == 0:
-            print(f"No VAE found for {name}; using automatic")
-            return modules.sd_vae.unspecified
-        else:
-            return modules.sd_vae.vae_dict[choices[0]]
+    match name := name.lower().strip():
+        case 'auto', 'automatic':
+            return 'Automatic'
+        case 'none':
+            return 'None'
+    return next((k for k in modules.sd_vae.vae_dict if k.lower() == name), print(f'No VAE found for {name}; using Automatic') or 'Automatic')
 
 
 def apply_vae(p, x, xs):
-    modules.sd_vae.reload_vae_weights(shared.sd_model, vae_file=find_vae(x))
+    p.override_settings['sd_vae'] = find_vae(x)
 
 
 def apply_styles(p: StableDiffusionProcessingTxt2Img, x: str, _):
@@ -270,7 +265,7 @@ def __init__(self, *args, **kwargs):
     AxisOption("Extra noise", float, apply_override("img2img_extra_noise")),
     AxisOptionTxt2Img("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [*shared.latent_upscale_modes, *[x.name for x in shared.sd_upscalers]]),
     AxisOptionImg2Img("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")),
-    AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: ['None'] + list(sd_vae.vae_dict)),
+    AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: ['Automatic', 'None'] + list(sd_vae.vae_dict)),
     AxisOption("Styles", str, apply_styles, choices=lambda: list(shared.prompt_styles.styles)),
     AxisOption("UniPC Order", int, apply_uni_pc_order, cost=0.5),
     AxisOption("Face restore", str, apply_face_restore, format_value=format_value),
@@ -399,10 +394,9 @@ def index(ix, iy, iz):
 
 class SharedSettingsStackHelper(object):
     def __enter__(self):
-        self.vae = opts.sd_vae
+        pass
 
     def __exit__(self, exc_type, exc_value, tb):
-        opts.data["sd_vae"] = self.vae
         modules.sd_models.reload_model_weights()
         modules.sd_vae.reload_vae_weights()
 

From 51e7122f25c276b258a8f55a64e60e5b2265287f Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sun, 19 May 2024 05:17:44 +0900
Subject: [PATCH 088/125] remove unused code

---
 scripts/xyz_grid.py | 11 -----------
 1 file changed, 11 deletions(-)

diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index 4c83e92b24e..23dafd47778 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -95,17 +95,6 @@ def confirm_checkpoints_or_none(p, xs):
             raise RuntimeError(f"Unknown checkpoint: {x}")
 
 
-def apply_clip_skip(p, x, xs):
-    opts.data["CLIP_stop_at_last_layers"] = x
-
-
-def apply_upscale_latent_space(p, x, xs):
-    if x.lower().strip() != '0':
-        opts.data["use_scale_latent_for_hires_fix"] = True
-    else:
-        opts.data["use_scale_latent_for_hires_fix"] = False
-
-
 def apply_size(p, x: str, xs) -> None:
     try:
         width, _, height = x.partition('x')

From 5867be2914c303c2f8ba86ff23dba4b31aeafa79 Mon Sep 17 00:00:00 2001
From: viking1304 <viking1304@gmail.com>
Date: Mon, 20 May 2024 23:44:17 +0200
Subject: [PATCH 089/125] Use different torch versions for Intel and ARM Macs

---
 webui-macos-env.sh | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/webui-macos-env.sh b/webui-macos-env.sh
index db7e8b1a05b..ad0736378c6 100644
--- a/webui-macos-env.sh
+++ b/webui-macos-env.sh
@@ -11,7 +11,12 @@ fi
 
 export install_dir="$HOME"
 export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate"
-export TORCH_COMMAND="pip install torch==2.1.0 torchvision==0.16.0"
 export PYTORCH_ENABLE_MPS_FALLBACK=1
 
+if [[ "$(sysctl -n machdep.cpu.brand_string)" =~ ^.*"Intel".*$ ]]; then
+    export TORCH_COMMAND="pip install torch==2.1.2 torchvision==0.16.2"
+else
+    export TORCH_COMMAND="pip install torch==2.3.0 torchvision==0.18.0"
+fi
+
 ####################################################################

From 344eda55d4550e91b1a3e95f8e669084a74c876f Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Wed, 22 May 2024 23:06:07 +0900
Subject: [PATCH 090/125] ReloadUI backgroundColor --background-fill-primary

---
 javascript/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/javascript/ui.js b/javascript/ui.js
index e0f5feebd6c..16faacebb8b 100644
--- a/javascript/ui.js
+++ b/javascript/ui.js
@@ -337,8 +337,8 @@ onOptionsChanged(function() {
 let txt2img_textarea, img2img_textarea = undefined;
 
 function restart_reload() {
+    document.body.style.backgroundColor = "var(--background-fill-primary)";
     document.body.innerHTML = '<h1 style="font-family:monospace;margin-top:20%;color:lightgray;text-align:center;">Reloading...</h1>';
-
     var requestPing = function() {
         requestGet("./internal/ping", {}, function(data) {
             location.reload();

From 6dd53ce63dc70b3fcf7f25402d40b48f50abdf74 Mon Sep 17 00:00:00 2001
From: alcacode <alca_addr@protonmail.com>
Date: Sun, 26 May 2024 15:36:55 +0200
Subject: [PATCH 091/125] Fix bug where file extension had an extra '.' under
 some circumstances

Fix bug where under some circumstances an extra "." was inserted between the file base name and the file extension.
The bug is triggered when the extension argument is one of "jpg", "jpeg", or "webp", and the image exceeds the format's dimension limit. Then the extension variable is set to ".png", resulting in the fullfn variable to evaluate to a string ending with "..png".
---
 modules/images.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index c0ff8a6306a..1be176cdfad 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -653,7 +653,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     # WebP and JPG formats have maximum dimension limits of 16383 and 65535 respectively. switch to PNG which has a much higher limit
     if (image.height > 65535 or image.width > 65535) and extension.lower() in ("jpg", "jpeg") or (image.height > 16383 or image.width > 16383) and extension.lower() == "webp":
         print('Image dimensions too large; saving as PNG')
-        extension = ".png"
+        extension = "png"
 
     if save_to_dirs is None:
         save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)

From 8d6f7417385d1cacfd827800bdf02a0e8dd8f092 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Wed, 29 May 2024 03:33:32 +0900
Subject: [PATCH 092/125] #15883 -> #15882

---
 CHANGELOG.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5c16b561132..596b1ec45a4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,7 +1,7 @@
 ## 1.9.4
 
 ### Bug Fixes:
-*  pin setuptools version to fix the startup error ([#15883](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15883)) 
+*  pin setuptools version to fix the startup error ([#15882](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15882)) 
 
 ## 1.9.3
 

From 10f8d0f84216e3642e960ea7118a5acc8a79546f Mon Sep 17 00:00:00 2001
From: eatmoreapple <eatmoreorange@gmail.com>
Date: Tue, 4 Jun 2024 15:02:13 +0800
Subject: [PATCH 093/125] feat: lora partial update precede full update.

---
 extensions-builtin/Lora/networks.py | 40 +++++++++++++++++++++--------
 1 file changed, 30 insertions(+), 10 deletions(-)

diff --git a/extensions-builtin/Lora/networks.py b/extensions-builtin/Lora/networks.py
index 42b14dc239d..18809364b61 100644
--- a/extensions-builtin/Lora/networks.py
+++ b/extensions-builtin/Lora/networks.py
@@ -260,6 +260,16 @@ def load_networks(names, te_multipliers=None, unet_multipliers=None, dyn_dims=No
 
     loaded_networks.clear()
 
+    unavailable_networks = []
+    for name in names:
+        if name.lower() in forbidden_network_aliases and available_networks.get(name) is None:
+            unavailable_networks.append(name)
+        elif available_network_aliases.get(name) is None:
+            unavailable_networks.append(name)
+
+    if unavailable_networks:
+        update_available_networks_by_names(unavailable_networks)
+
     networks_on_disk = [available_networks.get(name, None) if name.lower() in forbidden_network_aliases else available_network_aliases.get(name, None) for name in names]
     if any(x is None for x in networks_on_disk):
         list_available_networks()
@@ -566,22 +576,16 @@ def network_MultiheadAttention_load_state_dict(self, *args, **kwargs):
     return originals.MultiheadAttention_load_state_dict(self, *args, **kwargs)
 
 
-def list_available_networks():
-    available_networks.clear()
-    available_network_aliases.clear()
-    forbidden_network_aliases.clear()
-    available_network_hash_lookup.clear()
-    forbidden_network_aliases.update({"none": 1, "Addams": 1})
-
-    os.makedirs(shared.cmd_opts.lora_dir, exist_ok=True)
-
+def process_network_files(names: list[str] | None = None):
     candidates = list(shared.walk_files(shared.cmd_opts.lora_dir, allowed_extensions=[".pt", ".ckpt", ".safetensors"]))
     candidates += list(shared.walk_files(shared.cmd_opts.lyco_dir_backcompat, allowed_extensions=[".pt", ".ckpt", ".safetensors"]))
     for filename in candidates:
         if os.path.isdir(filename):
             continue
-
         name = os.path.splitext(os.path.basename(filename))[0]
+        # if names is provided, only load networks with names in the list
+        if names and name not in names:
+            continue
         try:
             entry = network.NetworkOnDisk(name, filename)
         except OSError:  # should catch FileNotFoundError and PermissionError etc.
@@ -597,6 +601,22 @@ def list_available_networks():
         available_network_aliases[entry.alias] = entry
 
 
+def update_available_networks_by_names(names: list[str]):
+    process_network_files(names)
+
+
+def list_available_networks():
+    available_networks.clear()
+    available_network_aliases.clear()
+    forbidden_network_aliases.clear()
+    available_network_hash_lookup.clear()
+    forbidden_network_aliases.update({"none": 1, "Addams": 1})
+
+    os.makedirs(shared.cmd_opts.lora_dir, exist_ok=True)
+
+    process_network_files()
+
+
 re_network_name = re.compile(r"(.*)\s*\([0-9a-fA-F]+\)")
 
 

From 25bbf31f5701b85804908a54b2f6af38a1d50f1f Mon Sep 17 00:00:00 2001
From: NouberNou <korewananda@gmail.com>
Date: Thu, 6 Jun 2024 16:22:49 -0700
Subject: [PATCH 094/125] Fix for grids without comprehensive infotexts

When generating grids, some scripts such as img2img loopback and ultimate SD upscale do not pass infotexts for each image since they are the same prompt.

If you attempt to save those images using the saved button in the UI it will fail because it will look for the selected image info text. This fixes those errors by replicating the infotext for as many images are passed into the image list if the infotext parameter is none.
---
 modules/processing.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index 76557dd7f5e..cb37a77dff2 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -569,7 +569,7 @@ def __init__(self, p: StableDiffusionProcessing, images_list, seed=-1, info="",
         self.all_negative_prompts = all_negative_prompts or p.all_negative_prompts or [self.negative_prompt]
         self.all_seeds = all_seeds or p.all_seeds or [self.seed]
         self.all_subseeds = all_subseeds or p.all_subseeds or [self.subseed]
-        self.infotexts = infotexts or [info]
+        self.infotexts = infotexts or [info] * len(image_list)
         self.version = program_version()
 
     def js(self):

From 53f62674ae55e84aff4d4c9ed104ba9dce8ae887 Mon Sep 17 00:00:00 2001
From: NouberNou <korewananda@gmail.com>
Date: Thu, 6 Jun 2024 16:30:01 -0700
Subject: [PATCH 095/125] Typo on edit

Edited in fix in Github editor and mistyped from local copy
---
 modules/processing.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index cb37a77dff2..c22da41692f 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -569,7 +569,7 @@ def __init__(self, p: StableDiffusionProcessing, images_list, seed=-1, info="",
         self.all_negative_prompts = all_negative_prompts or p.all_negative_prompts or [self.negative_prompt]
         self.all_seeds = all_seeds or p.all_seeds or [self.seed]
         self.all_subseeds = all_subseeds or p.all_subseeds or [self.subseed]
-        self.infotexts = infotexts or [info] * len(image_list)
+        self.infotexts = infotexts or [info] * len(images_list)
         self.version = program_version()
 
     def js(self):

From 0769aa318a1896ccf74f57e6e943eb6b5fab5051 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 8 Jun 2024 09:05:35 +0300
Subject: [PATCH 096/125] integrated edits as recommended in the PR #15804

---
 modules/sd_hijack_optimizations.py | 14 +-------------
 1 file changed, 1 insertion(+), 13 deletions(-)

diff --git a/modules/sd_hijack_optimizations.py b/modules/sd_hijack_optimizations.py
index 4c2dc56d45d..0269f1f5b4b 100644
--- a/modules/sd_hijack_optimizations.py
+++ b/modules/sd_hijack_optimizations.py
@@ -486,18 +486,7 @@ def xformers_attention_forward(self, x, context=None, mask=None, **kwargs):
     k_in = self.to_k(context_k)
     v_in = self.to_v(context_v)
 
-    def _reshape(t):
-        """rearrange(t, 'b n (h d) -> b n h d', h=h).
-        Using torch native operations to avoid overhead as this function is
-        called frequently. (70 times/it for SDXL)
-        """
-        b, n, _ = t.shape  # Get the batch size (b) and sequence length (n)
-        d = t.shape[2] // h  # Determine the depth per head
-        return t.reshape(b, n, h, d)
-
-    q = _reshape(q_in)
-    k = _reshape(k_in)
-    v = _reshape(v_in)
+    q, k, v = (t.reshape(t.shape[0], t.shape[1], h, -1) for t in (q_in, k_in, v_in))
 
     del q_in, k_in, v_in
 
@@ -509,7 +498,6 @@ def _reshape(t):
 
     out = out.to(dtype)
 
-    # out = rearrange(out, 'b n h d -> b n (h d)', h=h)
     b, n, h, d = out.shape
     out = out.reshape(b, n, h * d)
     return self.to_out(out)

From 5429e4cff514df2f4cab242212ba347741eadc08 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 8 Jun 2024 09:56:09 +0300
Subject: [PATCH 097/125] add proper infotext support for #15607 fix settings
 override not working for NGMI, s_churn, etc...

---
 modules/processing.py               | 14 ++++++++------
 modules/sd_samplers_cfg_denoiser.py | 12 +++++++-----
 modules/shared_options.py           |  6 +++---
 3 files changed, 18 insertions(+), 14 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index c22da41692f..97a7162aae2 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -238,11 +238,6 @@ def __post_init__(self):
             self.styles = []
 
         self.sampler_noise_scheduler_override = None
-        self.s_min_uncond = self.s_min_uncond if self.s_min_uncond is not None else opts.s_min_uncond
-        self.s_churn = self.s_churn if self.s_churn is not None else opts.s_churn
-        self.s_tmin = self.s_tmin if self.s_tmin is not None else opts.s_tmin
-        self.s_tmax = (self.s_tmax if self.s_tmax is not None else opts.s_tmax) or float('inf')
-        self.s_noise = self.s_noise if self.s_noise is not None else opts.s_noise
 
         self.extra_generation_params = self.extra_generation_params or {}
         self.override_settings = self.override_settings or {}
@@ -259,6 +254,13 @@ def __post_init__(self):
         self.cached_uc = StableDiffusionProcessing.cached_uc
         self.cached_c = StableDiffusionProcessing.cached_c
 
+    def fill_fields_from_opts(self):
+        self.s_min_uncond = self.s_min_uncond if self.s_min_uncond is not None else opts.s_min_uncond
+        self.s_churn = self.s_churn if self.s_churn is not None else opts.s_churn
+        self.s_tmin = self.s_tmin if self.s_tmin is not None else opts.s_tmin
+        self.s_tmax = (self.s_tmax if self.s_tmax is not None else opts.s_tmax) or float('inf')
+        self.s_noise = self.s_noise if self.s_noise is not None else opts.s_noise
+
     @property
     def sd_model(self):
         return shared.sd_model
@@ -794,7 +796,6 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
         "Token merging ratio hr": None if not enable_hr or token_merging_ratio_hr == 0 else token_merging_ratio_hr,
         "Init image hash": getattr(p, 'init_img_hash', None),
         "RNG": opts.randn_source if opts.randn_source != "GPU" else None,
-        "NGMS": None if p.s_min_uncond == 0 else p.s_min_uncond,
         "Tiling": "True" if p.tiling else None,
         **p.extra_generation_params,
         "Version": program_version() if opts.add_version_to_infotext else None,
@@ -890,6 +891,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
     modules.sd_hijack.model_hijack.apply_circular(p.tiling)
     modules.sd_hijack.model_hijack.clear_comments()
 
+    p.fill_fields_from_opts()
     p.setup_prompts()
 
     if isinstance(seed, list):
diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py
index d89ea2c8bfc..f48f58a5089 100644
--- a/modules/sd_samplers_cfg_denoiser.py
+++ b/modules/sd_samplers_cfg_denoiser.py
@@ -214,12 +214,14 @@ def apply_blend(current_latent):
 
         if shared.opts.skip_early_cond != 0. and self.step / self.total_steps <= shared.opts.skip_early_cond:
             skip_uncond = True
-            x_in = x_in[:-batch_size]
-            sigma_in = sigma_in[:-batch_size]
-
-        # alternating uncond allows for higher thresholds without the quality loss normally expected from raising it
-        if (self.step % 2 or shared.opts.s_min_uncond_all) and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
+            self.p.extra_generation_params["Skip Early CFG"] = shared.opts.skip_early_cond
+        elif (self.step % 2 or shared.opts.s_min_uncond_all) and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
             skip_uncond = True
+            self.p.extra_generation_params["NGMS"] = s_min_uncond
+            if shared.opts.s_min_uncond_all:
+                self.p.extra_generation_params["NGMS all steps"] = shared.opts.s_min_uncond_all
+
+        if skip_uncond:
             x_in = x_in[:-batch_size]
             sigma_in = sigma_in[:-batch_size]
 
diff --git a/modules/shared_options.py b/modules/shared_options.py
index c711fa5f609..05c3d939160 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -209,8 +209,8 @@
 
 options_templates.update(options_section(('optimizations', "Optimizations", "sd"), {
     "cross_attention_optimization": OptionInfo("Automatic", "Cross attention optimization", gr.Dropdown, lambda: {"choices": shared_items.cross_attention_optimizations()}),
-    "s_min_uncond": OptionInfo(0.0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 15.0, "step": 0.01}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
-    "s_min_uncond_all": OptionInfo(False, "NGMS: Skip every step").info("makes Negative Guidance minimum sigma skip negative guidance on every step instead of only half"),
+    "s_min_uncond": OptionInfo(0.0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 15.0, "step": 0.01}, infotext='NGMS').link("PR", "https://github.com/AUTOMATIC1111/stablediffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
+    "s_min_uncond_all": OptionInfo(False, "Negative Guidance minimum sigma all steps", infotext='NGMS all steps').info("By default, NGMS above skips every other step; this makes it skip all steps"),
     "token_merging_ratio": OptionInfo(0.0, "Token merging ratio", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}, infotext='Token merging ratio').link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9256").info("0=disable, higher=faster"),
     "token_merging_ratio_img2img": OptionInfo(0.0, "Token merging ratio for img2img", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).info("only applies if non-zero and overrides above"),
     "token_merging_ratio_hr": OptionInfo(0.0, "Token merging ratio for high-res pass", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}, infotext='Token merging ratio hr').info("only applies if non-zero and overrides above"),
@@ -382,7 +382,7 @@
     'uni_pc_order': OptionInfo(3, "UniPC order", gr.Slider, {"minimum": 1, "maximum": 50, "step": 1}, infotext='UniPC order').info("must be < sampling steps"),
     'uni_pc_lower_order_final': OptionInfo(True, "UniPC lower order final", infotext='UniPC lower order final'),
     'sd_noise_schedule': OptionInfo("Default", "Noise schedule for sampling", gr.Radio, {"choices": ["Default", "Zero Terminal SNR"]}, infotext="Noise Schedule").info("for use with zero terminal SNR trained models"),
-    'skip_early_cond': OptionInfo(0, "Skip CFG during early sampling", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}, infotext="Skip Early CFG").info("CFG will be disabled (set to 1) on early steps, can both improve sample diversity/quality and speed up sampling"),
+    'skip_early_cond': OptionInfo(0.0, "Ignore negative prompt during early sampling", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}, infotext="Skip Early CFG").info("disables CFG on a proportion of steps at the beginning of generation; 0=skip none; 1=skip all; can both improve sample diversity/quality and speed up sampling"),
 }))
 
 options_templates.update(options_section(('postprocessing', "Postprocessing", "postprocessing"), {

From cd9e9e404955df19a72c832d68888db44ab7b382 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 8 Jun 2024 10:13:38 +0300
Subject: [PATCH 098/125] remove unneeded tabulation

---
 .../Lora/ui_extra_networks_lora.py            | 23 +++++++++----------
 1 file changed, 11 insertions(+), 12 deletions(-)

diff --git a/extensions-builtin/Lora/ui_extra_networks_lora.py b/extensions-builtin/Lora/ui_extra_networks_lora.py
index e35d90c6ea3..3e34d69dca4 100644
--- a/extensions-builtin/Lora/ui_extra_networks_lora.py
+++ b/extensions-builtin/Lora/ui_extra_networks_lora.py
@@ -60,19 +60,18 @@ def create_item(self, name, index=None, enable_filter=True):
         else:
             sd_version = lora_on_disk.sd_version
 
-        if shared.sd_model is not None:  # still show LoRA in case an error occurs during initial model loading
-            if shared.opts.lora_show_all or not enable_filter:
-                pass
-            elif sd_version == network.SdVersion.Unknown:
-                model_version = network.SdVersion.SDXL if shared.sd_model.is_sdxl else network.SdVersion.SD2 if shared.sd_model.is_sd2 else network.SdVersion.SD1
-                if model_version.name in shared.opts.lora_hide_unknown_for_versions:
-                    return None
-            elif shared.sd_model.is_sdxl and sd_version != network.SdVersion.SDXL:
-                return None
-            elif shared.sd_model.is_sd2 and sd_version != network.SdVersion.SD2:
-                return None
-            elif shared.sd_model.is_sd1 and sd_version != network.SdVersion.SD1:
+        if shared.opts.lora_show_all or not enable_filter or not shared.sd_model:
+            pass
+        elif sd_version == network.SdVersion.Unknown:
+            model_version = network.SdVersion.SDXL if shared.sd_model.is_sdxl else network.SdVersion.SD2 if shared.sd_model.is_sd2 else network.SdVersion.SD1
+            if model_version.name in shared.opts.lora_hide_unknown_for_versions:
                 return None
+        elif shared.sd_model.is_sdxl and sd_version != network.SdVersion.SDXL:
+            return None
+        elif shared.sd_model.is_sd2 and sd_version != network.SdVersion.SD2:
+            return None
+        elif shared.sd_model.is_sd1 and sd_version != network.SdVersion.SD1:
+            return None
 
         return item
 

From 510f025a01733f20ebe3997c1c3d159e6ac50148 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Tue, 4 Jun 2024 02:23:43 +0900
Subject: [PATCH 099/125] replace wsl-open with wslpath and explorer.exe

---
 modules/util.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/util.py b/modules/util.py
index 0db13736cc7..768bf32d0bd 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -208,6 +208,6 @@ def open_folder(path):
     elif platform.system() == "Darwin":
         subprocess.Popen(["open", path])
     elif "microsoft-standard-WSL2" in platform.uname().release:
-        subprocess.Popen(["wsl-open", path])
+        subprocess.Popen(["explorer.exe", subprocess.check_output(["wslpath", "-w", path])])
     else:
         subprocess.Popen(["xdg-open", path])

From 603509ec905a9c9ac1011e9531a9da180828fcc0 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 8 Jun 2024 10:54:41 +0300
Subject: [PATCH 100/125] as per wfjsw's suggestion, revert changes for
 sd_hijack_checkpoint.py

---
 modules/sd_hijack_checkpoint.py | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/modules/sd_hijack_checkpoint.py b/modules/sd_hijack_checkpoint.py
index b2f05bbdcf0..2604d969f91 100644
--- a/modules/sd_hijack_checkpoint.py
+++ b/modules/sd_hijack_checkpoint.py
@@ -4,19 +4,16 @@
 import ldm.modules.diffusionmodules.openaimodel
 
 
-# Setting flag=False so that torch skips checking parameters.
-# parameters checking is expensive in frequent operations.
-
 def BasicTransformerBlock_forward(self, x, context=None):
-    return checkpoint(self._forward, x, context, flag=False)
+    return checkpoint(self._forward, x, context)
 
 
 def AttentionBlock_forward(self, x):
-    return checkpoint(self._forward, x, flag=False)
+    return checkpoint(self._forward, x)
 
 
 def ResBlock_forward(self, x, emb):
-    return checkpoint(self._forward, x, emb, flag=False)
+    return checkpoint(self._forward, x, emb)
 
 
 stored = []

From 07cf95c76ef052c120fbf1cfb69e3018e1cb06f8 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 8 Jun 2024 11:26:34 +0300
Subject: [PATCH 101/125] update pickle safe filenames

---
 modules/safe.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/safe.py b/modules/safe.py
index b1d08a7928e..af019ffd980 100644
--- a/modules/safe.py
+++ b/modules/safe.py
@@ -64,8 +64,8 @@ def find_class(self, module, name):
         raise Exception(f"global '{module}/{name}' is forbidden")
 
 
-# Regular expression that accepts 'dirname/version', 'dirname/data.pkl', and 'dirname/data/<number>'
-allowed_zip_names_re = re.compile(r"^([^/]+)/((data/\d+)|version|(data\.pkl))$")
+# Regular expression that accepts 'dirname/version', 'dirname/byteorder', 'dirname/data.pkl', '.data/serialization_id', and 'dirname/data/<number>'
+allowed_zip_names_re = re.compile(r"^([^/]+)/((data/\d+)|version|byteorder|.data/serialization_id|(data\.pkl))$")
 data_pkl_re = re.compile(r"^([^/]+)/data\.pkl$")
 
 def check_zip_filenames(filename, names):

From 1a7ffa2c76b0e68cd647c1f7f07235bcf85c985d Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 8 Jun 2024 11:35:45 +0300
Subject: [PATCH 102/125] remove extra local variable

---
 modules/paths_internal.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/modules/paths_internal.py b/modules/paths_internal.py
index 884984c9c0a..67521f5cd5d 100644
--- a/modules/paths_internal.py
+++ b/modules/paths_internal.py
@@ -28,9 +28,8 @@
 cmd_opts_pre = parser_pre.parse_known_args()[0]
 
 data_path = cmd_opts_pre.data_dir
-models_override = cmd_opts_pre.models_dir
 
-models_path = models_override if models_override else os.path.join(data_path, "models")
+models_path = cmd_opts_pre.models_dir if cmd_opts_pre.models_dir else os.path.join(data_path, "models")
 extensions_dir = os.path.join(data_path, "extensions")
 extensions_builtin_dir = os.path.join(script_path, "extensions-builtin")
 config_states_dir = os.path.join(script_path, "config_states")

From 547778b10f25def4e040b81942a2b23295567de3 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 8 Jun 2024 12:41:28 +0300
Subject: [PATCH 103/125] possibly make NaN check cheaper

---
 modules/devices.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/modules/devices.py b/modules/devices.py
index 7de34ac51c3..d574975e51b 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -243,22 +243,22 @@ def test_for_nans(x, where):
     if shared.cmd_opts.disable_nan_check:
         return
 
-    if not torch.all(torch.isnan(x)).item():
+    if not torch.isnan(x[(0, ) * len(x.shape)]):
         return
 
     if where == "unet":
-        message = "A tensor with all NaNs was produced in Unet."
+        message = "A tensor with NaNs was produced in Unet."
 
         if not shared.cmd_opts.no_half:
             message += " This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this."
 
     elif where == "vae":
-        message = "A tensor with all NaNs was produced in VAE."
+        message = "A tensor with NaNs was produced in VAE."
 
         if not shared.cmd_opts.no_half and not shared.cmd_opts.no_half_vae:
             message += " This could be because there's not enough precision to represent the picture. Try adding --no-half-vae commandline argument to fix this."
     else:
-        message = "A tensor with all NaNs was produced."
+        message = "A tensor with NaNs was produced."
 
     message += " Use --disable-nan-check commandline argument to disable this check."
 

From 39a6d5655f6c162e2b8da024a1719d79304332a2 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Sat, 8 Jun 2024 18:55:07 -0400
Subject: [PATCH 104/125] patch k_diffusion to_d and strip device from
 schedulers

---
 modules/sd_schedulers.py | 24 +++++++++++++++---------
 1 file changed, 15 insertions(+), 9 deletions(-)

diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
index 0c09af8d0b5..a2b9eb290a2 100644
--- a/modules/sd_schedulers.py
+++ b/modules/sd_schedulers.py
@@ -4,6 +4,12 @@
 
 import k_diffusion
 
+def to_d(x, sigma, denoised):
+    """Converts a denoiser output to a Karras ODE derivative."""
+    return (x - denoised) / sigma
+
+k_diffusion.sampling.to_d = to_d
+
 import numpy as np
 
 from modules import shared
@@ -19,11 +25,11 @@ class Scheduler:
     aliases: list = None
 
 
-def uniform(n, sigma_min, sigma_max, inner_model, device):
+def uniform(n, sigma_min, sigma_max, inner_model):
     return inner_model.get_sigmas(n)
 
 
-def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
+def sgm_uniform(n, sigma_min, sigma_max, inner_model):
     start = inner_model.sigma_to_t(torch.tensor(sigma_max))
     end = inner_model.sigma_to_t(torch.tensor(sigma_min))
     sigs = [
@@ -31,9 +37,9 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
         for ts in torch.linspace(start, end, n + 1)[:-1]
     ]
     sigs += [0.0]
-    return torch.FloatTensor(sigs).to(device)
+    return torch.FloatTensor(sigs)
 
-def get_align_your_steps_sigmas(n, sigma_min, sigma_max, device='cpu'):
+def get_align_your_steps_sigmas(n, sigma_min, sigma_max):
     # https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html
     def loglinear_interp(t_steps, num_steps):
         """
@@ -59,12 +65,12 @@ def loglinear_interp(t_steps, num_steps):
     else:
         sigmas.append(0.0)
 
-    return torch.FloatTensor(sigmas).to(device)
+    return torch.FloatTensor(sigmas)
 
-def kl_optimal(n, sigma_min, sigma_max, device):
-    alpha_min = torch.arctan(torch.tensor(sigma_min, device=device))
-    alpha_max = torch.arctan(torch.tensor(sigma_max, device=device))
-    step_indices = torch.arange(n + 1, device=device)
+def kl_optimal(n, sigma_min, sigma_max):
+    alpha_min = torch.arctan(torch.tensor(sigma_min))
+    alpha_max = torch.arctan(torch.tensor(sigma_max))
+    step_indices = torch.arange(n + 1)
     sigmas = torch.tan(step_indices / n * alpha_min + (1.0 - step_indices / n) * alpha_max)
     return sigmas
 

From d52a1e1a22f19c941d581b92904a99d4dd7b22c1 Mon Sep 17 00:00:00 2001
From: drhead <1313496+drhead@users.noreply.github.com>
Date: Sat, 8 Jun 2024 18:56:23 -0400
Subject: [PATCH 105/125] lint

---
 modules/sd_schedulers.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
index a2b9eb290a2..9916cf05ace 100644
--- a/modules/sd_schedulers.py
+++ b/modules/sd_schedulers.py
@@ -4,16 +4,16 @@
 
 import k_diffusion
 
+import numpy as np
+
+from modules import shared
+
 def to_d(x, sigma, denoised):
     """Converts a denoiser output to a Karras ODE derivative."""
     return (x - denoised) / sigma
 
 k_diffusion.sampling.to_d = to_d
 
-import numpy as np
-
-from modules import shared
-
 @dataclasses.dataclass
 class Scheduler:
     name: str

From d875cda565171407e1e2dc087fb5c5140359c6ec Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Sat, 8 Jun 2024 22:11:11 -0400
Subject: [PATCH 106/125] Fix sdxl inpaint

---
 modules/processing.py |  4 ++--
 modules/sd_models.py  | 19 ++++++++++++-------
 2 files changed, 14 insertions(+), 9 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index 0ff6a45c0c5..dc538272116 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -115,7 +115,7 @@ def txt2img_image_conditioning(sd_model, x, width, height):
         return x.new_zeros(x.shape[0], 2*sd_model.noise_augmentor.time_embed.dim, dtype=x.dtype, device=x.device)
 
     else:
-        if getattr(sd_model.model, "is_sdxl_inpaint", False):
+        if sd_model.is_sdxl_inpaint:
             # The "masked-image" in this case will just be all 0.5 since the entire image is masked.
             image_conditioning = torch.ones(x.shape[0], 3, height, width, device=x.device) * 0.5
             image_conditioning = images_tensor_to_samples(image_conditioning,
@@ -389,7 +389,7 @@ def img2img_image_conditioning(self, source_image, latent_image, image_mask=None
         if self.sampler.conditioning_key == "crossattn-adm":
             return self.unclip_image_conditioning(source_image)
 
-        if getattr(self.sampler.model_wrap.inner_model.model, "is_sdxl_inpaint", False):
+        if self.sampler.model_wrap.inner_model.is_sdxl_inpaint:
             return self.inpainting_image_conditioning(source_image, latent_image, image_mask=image_mask)
 
         # Dummy zero conditioning if we're not using inpainting or depth model.
diff --git a/modules/sd_models.py b/modules/sd_models.py
index 61bd15d8f05..93ff6c5fe9e 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -386,13 +386,6 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
     model.is_sd2 = not model.is_sdxl and hasattr(model.cond_stage_model, 'model')
     model.is_sd1 = not model.is_sdxl and not model.is_sd2
     model.is_ssd = model.is_sdxl and 'model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_q.weight' not in state_dict.keys()
-    # Set is_sdxl_inpaint flag.
-    diffusion_model_input = state_dict.get('diffusion_model.input_blocks.0.0.weight', None)
-    model.is_sdxl_inpaint = (
-        model.is_sdxl and
-        diffusion_model_input is not None and
-        diffusion_model_input.shape[1] == 9
-    )
     if model.is_sdxl:
         sd_models_xl.extend_sdxl(model)
 
@@ -408,6 +401,18 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
 
     del state_dict
 
+    # Set is_sdxl_inpaint flag.
+    # Perform this check after model initialization to make sure state_dict
+    # structure is already known.
+    diffusion_model_input = model.model.state_dict().get(
+        'diffusion_model.input_blocks.0.0.weight'
+    )
+    model.is_sdxl_inpaint = (
+        model.is_sdxl and
+        diffusion_model_input is not None and
+        diffusion_model_input.shape[1] == 9
+    )
+
     if shared.cmd_opts.opt_channelslast:
         model.to(memory_format=torch.channels_last)
         timer.record("apply channels_last")

From f89b5dbbd282091fd6b3318f3ef20cf23cf9ea3a Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Sat, 8 Jun 2024 22:15:37 -0400
Subject: [PATCH 107/125] nit

---
 modules/sd_models.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index 93ff6c5fe9e..af35187cdb0 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -402,8 +402,9 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
     del state_dict
 
     # Set is_sdxl_inpaint flag.
-    # Perform this check after model initialization to make sure state_dict
-    # structure is already known.
+    # Checks Unet structure to detect inpaint model. The inpaint model's
+    # checkpoint state_dict does not contain the key
+    # 'diffusion_model.input_blocks.0.0.weight'.
     diffusion_model_input = model.model.state_dict().get(
         'diffusion_model.input_blocks.0.0.weight'
     )

From 6447ff49d335edd7dccc4b75e262615ce13e76ac Mon Sep 17 00:00:00 2001
From: bluelovers <codelovers@users.sourceforge.net>
Date: Sun, 9 Jun 2024 19:07:32 +0800
Subject: [PATCH 108/125] feat: save pattern add `basename`

`grid` or `xyz_grid` or `img`

```py
'basename': lambda self: 'img' if self.basename == '' else self.basename,
```
---
 modules/images.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index 05432e3a7f6..90c65b740c8 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -377,6 +377,7 @@ def get_sampler_scheduler(p, sampler):
 
 class FilenameGenerator:
     replacements = {
+        'basename': lambda self: 'img' if self.basename == '' else self.basename,
         'seed': lambda self: self.seed if self.seed is not None else '',
         'seed_first': lambda self: self.seed if self.p.batch_size == 1 else self.p.all_seeds[0],
         'seed_last': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.batch_size == 1 else self.p.all_seeds[-1],
@@ -413,12 +414,13 @@ class FilenameGenerator:
     }
     default_time_format = '%Y%m%d%H%M%S'
 
-    def __init__(self, p, seed, prompt, image, zip=False):
+    def __init__(self, p, seed, prompt, image, zip=False, basename=""):
         self.p = p
         self.seed = seed
         self.prompt = prompt
         self.image = image
         self.zip = zip
+        self.basename = basename
 
     def get_vae_filename(self):
         """Get the name of the VAE file."""
@@ -649,7 +651,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
         txt_fullfn (`str` or None):
             If a text file is saved for this image, this will be its full path. Otherwise None.
     """
-    namegen = FilenameGenerator(p, seed, prompt, image)
+    namegen = FilenameGenerator(p, seed, prompt, image, zip=False, basename=basename)
 
     # WebP and JPG formats have maximum dimension limits of 16383 and 65535 respectively. switch to PNG which has a much higher limit
     if (image.height > 65535 or image.width > 65535) and extension.lower() in ("jpg", "jpeg") or (image.height > 16383 or image.width > 16383) and extension.lower() == "webp":

From 6214aa7d2a84aa2a12962706579a2dba3470fb51 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sun, 9 Jun 2024 16:24:04 +0300
Subject: [PATCH 109/125] performance: check for nans in unet only once, after
 all steps have been completed

---
 modules/processing.py               | 5 +++++
 modules/sd_samplers_cfg_denoiser.py | 2 --
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index dc538272116..65e37db0a46 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -625,6 +625,9 @@ class DecodedSamples(list):
 def decode_latent_batch(model, batch, target_device=None, check_for_nans=False):
     samples = DecodedSamples()
 
+    if check_for_nans:
+        devices.test_for_nans(batch, "unet")
+
     for i in range(batch.shape[0]):
         sample = decode_first_stage(model, batch[i:i + 1])[0]
 
@@ -987,6 +990,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
             if getattr(samples_ddim, 'already_decoded', False):
                 x_samples_ddim = samples_ddim
             else:
+                devices.test_for_nans(samples_ddim, "unet")
+
                 if opts.sd_vae_decode_method != 'Full':
                     p.extra_generation_params['VAE Decoder'] = opts.sd_vae_decode_method
                 x_samples_ddim = decode_latent_batch(p.sd_model, samples_ddim, target_device=devices.cpu, check_for_nans=True)
diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py
index f48f58a5089..06d2661f4f5 100644
--- a/modules/sd_samplers_cfg_denoiser.py
+++ b/modules/sd_samplers_cfg_denoiser.py
@@ -273,8 +273,6 @@ def apply_blend(current_latent):
         denoised_params = CFGDenoisedParams(x_out, state.sampling_step, state.sampling_steps, self.inner_model)
         cfg_denoised_callback(denoised_params)
 
-        devices.test_for_nans(x_out, "unet")
-
         if is_edit_model:
             denoised = self.combine_denoised_for_edit_model(x_out, cond_scale)
         elif skip_uncond:

From e368cd2810af0c7a734c33b25549110beacdf53f Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sun, 9 Jun 2024 16:46:08 +0300
Subject: [PATCH 110/125] stylistic changes for #15978

---
 modules/images.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index 90c65b740c8..3253847fed1 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -377,7 +377,7 @@ def get_sampler_scheduler(p, sampler):
 
 class FilenameGenerator:
     replacements = {
-        'basename': lambda self: 'img' if self.basename == '' else self.basename,
+        'basename': lambda self: self.basename or 'img',
         'seed': lambda self: self.seed if self.seed is not None else '',
         'seed_first': lambda self: self.seed if self.p.batch_size == 1 else self.p.all_seeds[0],
         'seed_last': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.batch_size == 1 else self.p.all_seeds[-1],
@@ -651,7 +651,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
         txt_fullfn (`str` or None):
             If a text file is saved for this image, this will be its full path. Otherwise None.
     """
-    namegen = FilenameGenerator(p, seed, prompt, image, zip=False, basename=basename)
+    namegen = FilenameGenerator(p, seed, prompt, image, basename=basename)
 
     # WebP and JPG formats have maximum dimension limits of 16383 and 65535 respectively. switch to PNG which has a much higher limit
     if (image.height > 65535 or image.width > 65535) and extension.lower() in ("jpg", "jpeg") or (image.height > 16383 or image.width > 16383) and extension.lower() == "webp":

From aafbb5b403e524b94367c5893f76f834b98de26d Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sun, 9 Jun 2024 16:47:08 +0300
Subject: [PATCH 111/125] lint

---
 modules/sd_samplers_cfg_denoiser.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py
index 06d2661f4f5..a86fa88eee9 100644
--- a/modules/sd_samplers_cfg_denoiser.py
+++ b/modules/sd_samplers_cfg_denoiser.py
@@ -1,5 +1,5 @@
 import torch
-from modules import prompt_parser, devices, sd_samplers_common
+from modules import prompt_parser, sd_samplers_common
 
 from modules.shared import opts, state
 import modules.shared as shared

From 57e6d05a43e4bdf4575e520f1a04c17e80fe58cc Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sun, 9 Jun 2024 21:18:36 +0300
Subject: [PATCH 112/125] added tool for profiling code

---
 modules/call_queue.py     | 10 +++++++--
 modules/processing.py     |  5 +++--
 modules/profiling.py      | 46 +++++++++++++++++++++++++++++++++++++++
 modules/shared_options.py | 16 ++++++++++++++
 style.css                 |  6 ++++-
 5 files changed, 78 insertions(+), 5 deletions(-)
 create mode 100644 modules/profiling.py

diff --git a/modules/call_queue.py b/modules/call_queue.py
index b50931bcdb9..d22c23b317c 100644
--- a/modules/call_queue.py
+++ b/modules/call_queue.py
@@ -1,8 +1,9 @@
+import os.path
 from functools import wraps
 import html
 import time
 
-from modules import shared, progress, errors, devices, fifo_lock
+from modules import shared, progress, errors, devices, fifo_lock, profiling
 
 queue_lock = fifo_lock.FIFOLock()
 
@@ -111,8 +112,13 @@ def f(*args, extra_outputs_array=extra_outputs, **kwargs):
         else:
             vram_html = ''
 
+        if shared.opts.profiling_enable and os.path.exists(shared.opts.profiling_filename):
+            profiling_html = f"<p class='profile'> [ <a href='{profiling.webpath()}' download>Profile</a> ] </p>"
+        else:
+            profiling_html = ''
+
         # last item is always HTML
-        res[-1] += f"<div class='performance'><p class='time'>Time taken: <wbr><span class='measurement'>{elapsed_text}</span></p>{vram_html}</div>"
+        res[-1] += f"<div class='performance'><p class='time'>Time taken: <wbr><span class='measurement'>{elapsed_text}</span></p>{vram_html}{profiling_html}</div>"
 
         return tuple(res)
 
diff --git a/modules/processing.py b/modules/processing.py
index 65e37db0a46..91cb94db1b9 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -16,7 +16,7 @@
 from typing import Any
 
 import modules.sd_hijack
-from modules import devices, prompt_parser, masking, sd_samplers, lowvram, infotext_utils, extra_networks, sd_vae_approx, scripts, sd_samplers_common, sd_unet, errors, rng
+from modules import devices, prompt_parser, masking, sd_samplers, lowvram, infotext_utils, extra_networks, sd_vae_approx, scripts, sd_samplers_common, sd_unet, errors, rng, profiling
 from modules.rng import slerp # noqa: F401
 from modules.sd_hijack import model_hijack
 from modules.sd_samplers_common import images_tensor_to_samples, decode_first_stage, approximation_indexes
@@ -843,7 +843,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
         # backwards compatibility, fix sampler and scheduler if invalid
         sd_samplers.fix_p_invalid_sampler_and_scheduler(p)
 
-        res = process_images_inner(p)
+        with profiling.Profiler():
+            res = process_images_inner(p)
 
     finally:
         sd_models.apply_token_merging(p.sd_model, 0)
diff --git a/modules/profiling.py b/modules/profiling.py
new file mode 100644
index 00000000000..95b59f71a20
--- /dev/null
+++ b/modules/profiling.py
@@ -0,0 +1,46 @@
+import torch
+
+from modules import shared, ui_gradio_extensions
+
+
+class Profiler:
+    def __init__(self):
+        if not shared.opts.profiling_enable:
+            self.profiler = None
+            return
+
+        activities = []
+        if "CPU" in shared.opts.profiling_activities:
+            activities.append(torch.profiler.ProfilerActivity.CPU)
+        if "CUDA" in shared.opts.profiling_activities:
+            activities.append(torch.profiler.ProfilerActivity.CUDA)
+
+        if not activities:
+            self.profiler = None
+            return
+
+        self.profiler = torch.profiler.profile(
+            activities=activities,
+            record_shapes=shared.opts.profiling_record_shapes,
+            profile_memory=shared.opts.profiling_profile_memory,
+            with_stack=shared.opts.profiling_with_stack
+        )
+
+    def __enter__(self):
+        if self.profiler:
+            self.profiler.__enter__()
+
+        return self
+
+    def __exit__(self, exc_type, exc, exc_tb):
+        if self.profiler:
+            shared.state.textinfo = "Finishing profile..."
+
+            self.profiler.__exit__(exc_type, exc, exc_tb)
+
+            self.profiler.export_chrome_trace(shared.opts.profiling_filename)
+
+
+def webpath():
+    return ui_gradio_extensions.webpath(shared.opts.profiling_filename)
+
diff --git a/modules/shared_options.py b/modules/shared_options.py
index e2e02094fef..104d8a54484 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -129,6 +129,22 @@
     "dump_stacks_on_signal": OptionInfo(False, "Print stack traces before exiting the program with ctrl+c."),
 }))
 
+options_templates.update(options_section(('profiler', "Profiler", "system"), {
+    "profiling_explanation": OptionHTML("""
+Those settings allow you to enable torch profiler when generating pictures.
+Profiling allows you to see which code uses how much of computer's resources during generation.
+Each generation writes its own profile to one file, overwriting previous.
+The file can be viewed in <a href="chrome:tracing">Chrome</a>, or on a <a href="https://ui.perfetto.dev/">Perfetto</a> web site.
+Warning: writing profile can take a lot of time, up to 30 seconds, and the file itelf can be around 500MB in size.
+"""),
+    "profiling_enable": OptionInfo(False, "Enable profiling"),
+    "profiling_activities": OptionInfo(["CPU"], "Activities", gr.CheckboxGroup, {"choices": ["CPU", "CUDA"]}),
+    "profiling_record_shapes": OptionInfo(True, "Record shapes"),
+    "profiling_profile_memory": OptionInfo(True, "Profile memory"),
+    "profiling_with_stack": OptionInfo(True, "Include python stack"),
+    "profiling_filename": OptionInfo("trace.json", "Profile filename"),
+}))
+
 options_templates.update(options_section(('API', "API", "system"), {
     "api_enable_requests": OptionInfo(True, "Allow http:// and https:// URLs for input images in API", restrict_api=True),
     "api_forbid_local_requests": OptionInfo(True, "Forbid URLs to local resources", restrict_api=True),
diff --git a/style.css b/style.css
index 467c29cdf97..64ef61bad46 100644
--- a/style.css
+++ b/style.css
@@ -279,7 +279,7 @@ input[type="checkbox"].input-accordion-checkbox{
     display: inline-block;
 }
 
-.html-log .performance p.time, .performance p.vram, .performance p.time abbr, .performance p.vram abbr {
+.html-log .performance p.time, .performance p.vram, .performance p.profile, .performance p.time abbr, .performance p.vram abbr {
     margin-bottom: 0;
     color: var(--block-title-text-color);
 }
@@ -291,6 +291,10 @@ input[type="checkbox"].input-accordion-checkbox{
     margin-left: auto;
 }
 
+.html-log .performance p.profile {
+    margin-left: 0.5em;
+}
+
 .html-log .performance .measurement{
     color: var(--body-text-color);
     font-weight: bold;

From 99e65ec6182c4e1201d16713f58c899bf26ba2ac Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sun, 9 Jun 2024 21:23:53 +0300
Subject: [PATCH 113/125] undo some changes from #15823 and fix whitespace

---
 modules/sd_samplers_kdiffusion.py |  4 ++--
 modules/sd_schedulers.py          | 28 +++++++++++++++-------------
 2 files changed, 17 insertions(+), 15 deletions(-)

diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py
index 228de49449e..64e14e0c2a3 100644
--- a/modules/sd_samplers_kdiffusion.py
+++ b/modules/sd_samplers_kdiffusion.py
@@ -1,7 +1,7 @@
 import torch
 import inspect
 import k_diffusion.sampling
-from modules import sd_samplers_common, sd_samplers_extra, sd_samplers_cfg_denoiser, sd_schedulers
+from modules import sd_samplers_common, sd_samplers_extra, sd_samplers_cfg_denoiser, sd_schedulers, devices
 from modules.sd_samplers_cfg_denoiser import CFGDenoiser  # noqa: F401
 from modules.script_callbacks import ExtraNoiseParams, extra_noise_callback
 
@@ -115,7 +115,7 @@ def get_sigmas(self, p, steps):
             if scheduler.need_inner_model:
                 sigmas_kwargs['inner_model'] = self.model_wrap
 
-            sigmas = scheduler.function(n=steps, **sigmas_kwargs)
+            sigmas = scheduler.function(n=steps, **sigmas_kwargs, device=devices.cpu)
 
         if discard_next_to_last_sigma:
             sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])
diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
index 9916cf05ace..0165e6a0286 100644
--- a/modules/sd_schedulers.py
+++ b/modules/sd_schedulers.py
@@ -1,19 +1,19 @@
 import dataclasses
-
 import torch
-
 import k_diffusion
-
 import numpy as np
 
 from modules import shared
 
+
 def to_d(x, sigma, denoised):
     """Converts a denoiser output to a Karras ODE derivative."""
     return (x - denoised) / sigma
 
+
 k_diffusion.sampling.to_d = to_d
 
+
 @dataclasses.dataclass
 class Scheduler:
     name: str
@@ -25,11 +25,11 @@ class Scheduler:
     aliases: list = None
 
 
-def uniform(n, sigma_min, sigma_max, inner_model):
-    return inner_model.get_sigmas(n)
+def uniform(n, sigma_min, sigma_max, inner_model, device):
+    return inner_model.get_sigmas(n).to(device)
 
 
-def sgm_uniform(n, sigma_min, sigma_max, inner_model):
+def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
     start = inner_model.sigma_to_t(torch.tensor(sigma_max))
     end = inner_model.sigma_to_t(torch.tensor(sigma_min))
     sigs = [
@@ -37,9 +37,10 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model):
         for ts in torch.linspace(start, end, n + 1)[:-1]
     ]
     sigs += [0.0]
-    return torch.FloatTensor(sigs)
+    return torch.FloatTensor(sigs).to(device)
 
-def get_align_your_steps_sigmas(n, sigma_min, sigma_max):
+
+def get_align_your_steps_sigmas(n, sigma_min, sigma_max, device):
     # https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html
     def loglinear_interp(t_steps, num_steps):
         """
@@ -65,12 +66,13 @@ def loglinear_interp(t_steps, num_steps):
     else:
         sigmas.append(0.0)
 
-    return torch.FloatTensor(sigmas)
+    return torch.FloatTensor(sigmas).to(device)
+
 
-def kl_optimal(n, sigma_min, sigma_max):
-    alpha_min = torch.arctan(torch.tensor(sigma_min))
-    alpha_max = torch.arctan(torch.tensor(sigma_max))
-    step_indices = torch.arange(n + 1)
+def kl_optimal(n, sigma_min, sigma_max, device):
+    alpha_min = torch.arctan(torch.tensor(sigma_min, device=device))
+    alpha_max = torch.arctan(torch.tensor(sigma_max, device=device))
+    step_indices = torch.arange(n + 1, device=device)
     sigmas = torch.tan(step_indices / n * alpha_min + (1.0 - step_indices / n) * alpha_max)
     return sigmas
 

From d2097dbdd99aa528d8459ad7b62d3a2230a14e65 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sun, 9 Jun 2024 21:33:32 +0300
Subject: [PATCH 114/125] added onOptionsAvailable callback for javascript for

---
 javascript/ui.js |  1 +
 script.js        | 15 +++++++++++++++
 2 files changed, 16 insertions(+)

diff --git a/javascript/ui.js b/javascript/ui.js
index 16faacebb8b..ff6f8974b0e 100644
--- a/javascript/ui.js
+++ b/javascript/ui.js
@@ -299,6 +299,7 @@ onAfterUiUpdate(function() {
     var jsdata = textarea.value;
     opts = JSON.parse(jsdata);
 
+    executeCallbacks(optionsAvailableCallbacks); /*global optionsAvailableCallbacks*/
     executeCallbacks(optionsChangedCallbacks); /*global optionsChangedCallbacks*/
 
     Object.defineProperty(textarea, 'value', {
diff --git a/script.js b/script.js
index f069b1ef002..de1a9000d4f 100644
--- a/script.js
+++ b/script.js
@@ -29,6 +29,7 @@ var uiAfterUpdateCallbacks = [];
 var uiLoadedCallbacks = [];
 var uiTabChangeCallbacks = [];
 var optionsChangedCallbacks = [];
+var optionsAvailableCallbacks = [];
 var uiAfterUpdateTimeout = null;
 var uiCurrentTab = null;
 
@@ -77,6 +78,20 @@ function onOptionsChanged(callback) {
     optionsChangedCallbacks.push(callback);
 }
 
+/**
+ * Register callback to be called when the options (in opts global variable) are available.
+ * The callback receives no arguments.
+ * If you register the callback after the options are available, it's just immediately called.
+ */
+function onOptionsAvailable(callback) {
+    if (Object.keys(opts).length != 0) {
+        callback();
+        return;
+    }
+
+    optionsAvailableCallbacks.push(callback);
+}
+
 function executeCallbacks(queue, arg) {
     for (const callback of queue) {
         try {

From 74ee8fd1e32d06a45e669dd5cce6a2bff786d3a4 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Mon, 10 Jun 2024 04:35:11 +0900
Subject: [PATCH 115/125] .gitignore trace.json

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index 519b4a53dcb..96cfe22dbd1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -39,3 +39,4 @@ notification.mp3
 /.coverage*
 /test/test_outputs
 /cache
+trace.json

From 17e846150c49395e44550e18cbe5120fcf64c173 Mon Sep 17 00:00:00 2001
From: huchenlei <chenlei.hu@mail.utoronto.ca>
Date: Tue, 28 May 2024 19:35:35 -0400
Subject: [PATCH 116/125] Add process_before_every_sampling hook

---
 modules/processing.py | 24 ++++++++++++++++++++++++
 modules/scripts.py    | 15 +++++++++++++++
 2 files changed, 39 insertions(+)

diff --git a/modules/processing.py b/modules/processing.py
index 91cb94db1b9..79a3f0a726c 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -1330,6 +1330,15 @@ def sample(self, conditioning, unconditional_conditioning, seeds, subseeds, subs
             # here we generate an image normally
 
             x = self.rng.next()
+            if self.scripts is not None:
+                self.scripts.process_before_every_sampling(
+                    p=self,
+                    x=x,
+                    noise=x,
+                    c=conditioning,
+                    uc=unconditional_conditioning
+                )
+
             samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
             del x
 
@@ -1430,6 +1439,13 @@ def save_intermediate(image, index):
 
         if self.scripts is not None:
             self.scripts.before_hr(self)
+            self.scripts.process_before_every_sampling(
+                p=self,
+                x=samples,
+                noise=noise,
+                c=self.hr_c,
+                uc=self.hr_uc,
+            )
 
         samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)
 
@@ -1743,6 +1759,14 @@ def sample(self, conditioning, unconditional_conditioning, seeds, subseeds, subs
             self.extra_generation_params["Noise multiplier"] = self.initial_noise_multiplier
             x *= self.initial_noise_multiplier
 
+        if self.scripts is not None:
+            self.scripts.process_before_every_sampling(
+                p=self,
+                x=self.init_latent,
+                noise=x,
+                c=conditioning,
+                uc=unconditional_conditioning
+            )
         samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
 
         if self.mask is not None:
diff --git a/modules/scripts.py b/modules/scripts.py
index 70ccfbe46b1..8eca396b140 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -187,6 +187,13 @@ def after_extra_networks_activate(self, p, *args, **kwargs):
         """
         pass
 
+    def process_before_every_sampling(self, p, *args, **kwargs):
+        """
+        Similar to process(), called before every sampling.
+        If you use high-res fix, this will be called two times.
+        """
+        pass
+
     def process_batch(self, p, *args, **kwargs):
         """
         Same as process(), but called for every batch.
@@ -826,6 +833,14 @@ def process(self, p):
             except Exception:
                 errors.report(f"Error running process: {script.filename}", exc_info=True)
 
+    def process_before_every_sampling(self, p, **kwargs):
+        for script in self.ordered_scripts('process_before_every_sampling'):
+            try:
+                script_args = p.script_args[script.args_from:script.args_to]
+                script.process_before_every_sampling(p, *script_args, **kwargs)
+            except Exception:
+                errors.report(f"Error running process_before_every_sampling: {script.filename}", exc_info=True)
+
     def before_process_batch(self, p, **kwargs):
         for script in self.ordered_scripts('before_process_batch'):
             try:

From abacb735f4f20a301e11a36442950b55b19626fe Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Mon, 10 Jun 2024 20:47:12 +0900
Subject: [PATCH 117/125] multi size grid

---
 modules/images.py   | 9 ++++++---
 scripts/xyz_grid.py | 8 +++++---
 2 files changed, 11 insertions(+), 6 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index 3253847fed1..cfdfb338446 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -54,11 +54,14 @@ def image_grid(imgs, batch_size=1, rows=None):
     params = script_callbacks.ImageGridLoopParams(imgs, cols, rows)
     script_callbacks.image_grid_callback(params)
 
-    w, h = imgs[0].size
-    grid = Image.new('RGB', size=(params.cols * w, params.rows * h), color='black')
+    w, h = map(max, zip(*(img.size for img in imgs)))
+    grid_background_color = ImageColor.getcolor(opts.grid_background_color, 'RGB')
+    grid = Image.new('RGB', size=(params.cols * w, params.rows * h), color=grid_background_color)
 
     for i, img in enumerate(params.imgs):
-        grid.paste(img, box=(i % params.cols * w, i // params.cols * h))
+        img_w, img_h = img.size
+        w_offset, h_offset = 0 if img_w == w else (w - img_w) // 2, 0 if img_h == h else (h - img_h) // 2
+        grid.paste(img, box=(i % params.cols * w + w_offset, i // params.cols * h + h_offset))
 
     return grid
 
diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index 52e343c4fb8..606d72d42af 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -375,16 +375,18 @@ def index(ix, iy, iz):
         end_index = start_index + len(xs) * len(ys)
         grid = images.image_grid(processed_result.images[start_index:end_index], rows=len(ys))
         if draw_legend:
-            grid = images.draw_grid_annotations(grid, processed_result.images[start_index].size[0], processed_result.images[start_index].size[1], hor_texts, ver_texts, margin_size)
+            grid_max_w, grid_max_h = map(max, zip(*(img.size for img in processed_result.images[start_index:end_index])))
+            grid = images.draw_grid_annotations(grid, grid_max_w, grid_max_h, hor_texts, ver_texts, margin_size)
         processed_result.images.insert(i, grid)
         processed_result.all_prompts.insert(i, processed_result.all_prompts[start_index])
         processed_result.all_seeds.insert(i, processed_result.all_seeds[start_index])
         processed_result.infotexts.insert(i, processed_result.infotexts[start_index])
 
-    sub_grid_size = processed_result.images[0].size
+    # sub_grid_size = processed_result.images[0].size
     z_grid = images.image_grid(processed_result.images[:z_count], rows=1)
+    z_sub_grid_max_w, z_sub_grid_max_h = map(max, zip(*(img.size for img in processed_result.images[:z_count])))
     if draw_legend:
-        z_grid = images.draw_grid_annotations(z_grid, sub_grid_size[0], sub_grid_size[1], title_texts, [[images.GridAnnotation()]])
+        z_grid = images.draw_grid_annotations(z_grid, z_sub_grid_max_w, z_sub_grid_max_h, title_texts, [[images.GridAnnotation()]])
     processed_result.images.insert(0, z_grid)
     # TODO: Deeper aspects of the program rely on grid info being misaligned between metadata arrays, which is not ideal.
     # processed_result.all_prompts.insert(0, processed_result.all_prompts[0])

From 00e09382cd85c77ac35545c7264855823dfc2eb1 Mon Sep 17 00:00:00 2001
From: Silver <ishimarukaito@gmail.com>
Date: Mon, 10 Jun 2024 22:11:11 +0200
Subject: [PATCH 118/125] Add option to enable clip skip for clip L on SDXL

---
 modules/sd_hijack_clip.py | 2 ++
 modules/shared_options.py | 1 +
 2 files changed, 3 insertions(+)

diff --git a/modules/sd_hijack_clip.py b/modules/sd_hijack_clip.py
index 6ef10ac7cd8..3db047dfd96 100644
--- a/modules/sd_hijack_clip.py
+++ b/modules/sd_hijack_clip.py
@@ -355,6 +355,8 @@ def encode_with_transformers(self, tokens):
 
         if self.wrapped.layer == "last":
             z = outputs.last_hidden_state
+        elif opts.sdxl_clip_l_skip is True:
+            z = outputs.hidden_states[-opts.CLIP_stop_at_last_layers]
         else:
             z = outputs.hidden_states[self.wrapped.layer_idx]
 
diff --git a/modules/shared_options.py b/modules/shared_options.py
index 104d8a54484..51d51d8ee66 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -176,6 +176,7 @@
     "emphasis": OptionInfo("Original", "Emphasis mode", gr.Radio, lambda: {"choices": [x.name for x in sd_emphasis.options]}, infotext="Emphasis").info("makes it possible to make model to pay (more:1.1) or (less:0.9) attention to text when you use the syntax in prompt; " + sd_emphasis.get_options_descriptions()),
     "enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
     "comma_padding_backtrack": OptionInfo(20, "Prompt word wrap length limit", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1}).info("in tokens - for texts shorter than specified, if they don't fit into 75 token limit, move them to the next 75 token chunk"),
+    "sdxl_clip_l_skip": OptionInfo(False, "Clip skip SDXL", gr.Checkbox).info("Enable Clip skip for the secondary clip model in sdxl. Has no effect on SD 1.5 or SD 2.0/2.1."),
     "CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}, infotext="Clip skip").link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer"),
     "upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),
     "randn_source": OptionInfo("GPU", "Random number generator source.", gr.Radio, {"choices": ["GPU", "CPU", "NV"]}, infotext="RNG").info("changes seeds drastically; use CPU to produce the same picture across different videocard vendors; use NV to produce same picture as on NVidia videocards"),

From 91ecc750bebcd25c5ad970a7bddc8f7603a136d7 Mon Sep 17 00:00:00 2001
From: Silver <65376327+silveroxides@users.noreply.github.com>
Date: Tue, 11 Jun 2024 00:40:26 +0200
Subject: [PATCH 119/125] Update sd_hijack_clip.py

---
 modules/sd_hijack_clip.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/modules/sd_hijack_clip.py b/modules/sd_hijack_clip.py
index 3db047dfd96..355df3d30d1 100644
--- a/modules/sd_hijack_clip.py
+++ b/modules/sd_hijack_clip.py
@@ -353,10 +353,10 @@ def __init__(self, wrapped, hijack):
     def encode_with_transformers(self, tokens):
         outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=self.wrapped.layer == "hidden")
 
-        if self.wrapped.layer == "last":
-            z = outputs.last_hidden_state
-        elif opts.sdxl_clip_l_skip is True:
+        if opts.sdxl_clip_l_skip is True:
             z = outputs.hidden_states[-opts.CLIP_stop_at_last_layers]
+        elif self.wrapped.layer == "last":
+            z = outputs.last_hidden_state
         else:
             z = outputs.hidden_states[self.wrapped.layer_idx]
 

From 1f8f3a6e8bdbc687bc449aa3ce39bf4bb668f6f1 Mon Sep 17 00:00:00 2001
From: YSH <devtlin34@gmail.com>
Date: Tue, 11 Jun 2024 16:50:00 -0700
Subject: [PATCH 120/125] feat: prevent screen sleep during generation

---
 javascript/progressbar.js | 25 +++++++++++++++++++++++++
 modules/shared_options.py |  1 +
 2 files changed, 26 insertions(+)

diff --git a/javascript/progressbar.js b/javascript/progressbar.js
index f068bac6aba..00b0429bba9 100644
--- a/javascript/progressbar.js
+++ b/javascript/progressbar.js
@@ -76,6 +76,28 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
     var dateStart = new Date();
     var wasEverActive = false;
     var parentProgressbar = progressbarContainer.parentNode;
+    var wakeLock = null;
+
+    var requestWakeLock = async function() {
+        if (!opts.prevent_screen_sleep_during_generation) return;
+        try {
+            wakeLock = await navigator.wakeLock.request('screen');
+            console.log('Wake Lock is active.');
+        } catch (err) {
+            console.log('Wake Lock is not supported.');
+        }
+    };
+
+    var releaseWakeLock = async function() {
+        if (!opts.prevent_screen_sleep_during_generation || !wakeLock) return;
+        try {
+            await wakeLock.release();
+            console.log('Wake Lock is released.');
+            wakeLock = null;
+        } catch (err) {
+            console.error('Wake Lock release failed', err);
+        }
+    };
 
     var divProgress = document.createElement('div');
     divProgress.className = 'progressDiv';
@@ -89,6 +111,7 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
     var livePreview = null;
 
     var removeProgressBar = function() {
+        releaseWakeLock();
         if (!divProgress) return;
 
         setTitle("");
@@ -100,6 +123,8 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
     };
 
     var funProgress = function(id_task) {
+        // Request the wake lock at the start of the progress
+        requestWakeLock();
         request("./internal/progress", {id_task: id_task, live_preview: false}, function(res) {
             if (res.completed) {
                 removeProgressBar();
diff --git a/modules/shared_options.py b/modules/shared_options.py
index 326a317e030..3741cf1f594 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -359,6 +359,7 @@
     "live_preview_refresh_period": OptionInfo(1000, "Progressbar and preview update period").info("in milliseconds"),
     "live_preview_fast_interrupt": OptionInfo(False, "Return image with chosen live preview method on interrupt").info("makes interrupts faster"),
     "js_live_preview_in_modal_lightbox": OptionInfo(False, "Show Live preview in full page image viewer"),
+    "prevent_screen_sleep_during_generation": OptionInfo(True, "Prevent screen sleep during generation"),
 }))
 
 options_templates.update(options_section(('sampler-params', "Sampler parameters", "sd"), {

From c803e11505cae54c7e8e467cd773b2053c2bfc38 Mon Sep 17 00:00:00 2001
From: YSH <devtlin34@gmail.com>
Date: Tue, 11 Jun 2024 18:14:32 -0700
Subject: [PATCH 121/125] fix: prevent create multiple wake lock

---
 javascript/progressbar.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/javascript/progressbar.js b/javascript/progressbar.js
index 00b0429bba9..751fc096c53 100644
--- a/javascript/progressbar.js
+++ b/javascript/progressbar.js
@@ -79,7 +79,7 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
     var wakeLock = null;
 
     var requestWakeLock = async function() {
-        if (!opts.prevent_screen_sleep_during_generation) return;
+        if (!opts.prevent_screen_sleep_during_generation || wakeLock) return;
         try {
             wakeLock = await navigator.wakeLock.request('screen');
             console.log('Wake Lock is active.');

From f1e0bfebfc9418f14f36ea255162ed1eaba3a62f Mon Sep 17 00:00:00 2001
From: YSH <devtlin34@gmail.com>
Date: Tue, 11 Jun 2024 22:33:11 -0700
Subject: [PATCH 122/125] ci: remove comments and console logs

---
 javascript/progressbar.js | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/javascript/progressbar.js b/javascript/progressbar.js
index 751fc096c53..23dea64ceda 100644
--- a/javascript/progressbar.js
+++ b/javascript/progressbar.js
@@ -82,9 +82,8 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
         if (!opts.prevent_screen_sleep_during_generation || wakeLock) return;
         try {
             wakeLock = await navigator.wakeLock.request('screen');
-            console.log('Wake Lock is active.');
         } catch (err) {
-            console.log('Wake Lock is not supported.');
+            console.error('Wake Lock is not supported.');
         }
     };
 
@@ -92,7 +91,6 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
         if (!opts.prevent_screen_sleep_during_generation || !wakeLock) return;
         try {
             await wakeLock.release();
-            console.log('Wake Lock is released.');
             wakeLock = null;
         } catch (err) {
             console.error('Wake Lock release failed', err);
@@ -123,7 +121,6 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
     };
 
     var funProgress = function(id_task) {
-        // Request the wake lock at the start of the progress
         requestWakeLock();
         request("./internal/progress", {id_task: id_task, live_preview: false}, function(res) {
             if (res.completed) {

From b35249a0a8c6ae9e042928f232653edf026d08ee Mon Sep 17 00:00:00 2001
From: Evan <evan@shortbread.ai>
Date: Wed, 26 Jun 2024 12:14:44 +0000
Subject: [PATCH 123/125] stable

---
 .eslintignore                                       |   0
 .eslintrc.js                                        |   0
 .git-blame-ignore-revs                              |   0
 .github/ISSUE_TEMPLATE/bug_report.yml               |   0
 .github/ISSUE_TEMPLATE/config.yml                   |   0
 .github/ISSUE_TEMPLATE/feature_request.yml          |   0
 .github/pull_request_template.md                    |   0
 .github/workflows/on_pull_request.yaml              |   0
 .github/workflows/run_tests.yaml                    |   0
 .github/workflows/warns_merge_master.yml            |   0
 .gitignore                                          |   0
 .pylintrc                                           |   0
 CHANGELOG.md                                        |   0
 CITATION.cff                                        |   0
 CODEOWNERS                                          |   0
 LICENSE.txt                                         |   0
 README.md                                           |   0
 _typos.toml                                         |   0
 configs/alt-diffusion-inference.yaml                |   0
 configs/alt-diffusion-m18-inference.yaml            |   0
 configs/instruct-pix2pix.yaml                       |   0
 configs/sd_xl_inpaint.yaml                          |   0
 configs/v1-inference.yaml                           |   0
 configs/v1-inpainting-inference.yaml                |   0
 .../Place Textual Inversion embeddings here.txt     |   0
 environment-wsl2.yaml                               |   0
 extensions-builtin/LDSR/ldsr_model_arch.py          |   0
 extensions-builtin/LDSR/preload.py                  |   0
 extensions-builtin/LDSR/scripts/ldsr_model.py       |   0
 extensions-builtin/LDSR/sd_hijack_autoencoder.py    |   0
 extensions-builtin/LDSR/sd_hijack_ddpm_v1.py        |   0
 extensions-builtin/LDSR/vqvae_quantize.py           |   0
 extensions-builtin/Lora/extra_networks_lora.py      |   0
 extensions-builtin/Lora/lora.py                     |   0
 extensions-builtin/Lora/lora_logger.py              |   0
 extensions-builtin/Lora/lora_patches.py             |   0
 extensions-builtin/Lora/lyco_helpers.py             |   0
 extensions-builtin/Lora/network.py                  |   0
 extensions-builtin/Lora/network_full.py             |   0
 extensions-builtin/Lora/network_glora.py            |   0
 extensions-builtin/Lora/network_hada.py             |   0
 extensions-builtin/Lora/network_ia3.py              |   0
 extensions-builtin/Lora/network_lokr.py             |   0
 extensions-builtin/Lora/network_lora.py             |   0
 extensions-builtin/Lora/network_norm.py             |   0
 extensions-builtin/Lora/network_oft.py              |   0
 extensions-builtin/Lora/networks.py                 |   0
 extensions-builtin/Lora/preload.py                  |   0
 extensions-builtin/Lora/scripts/lora_script.py      |   0
 extensions-builtin/Lora/ui_edit_user_metadata.py    |   0
 extensions-builtin/Lora/ui_extra_networks_lora.py   |   0
 extensions-builtin/ScuNET/preload.py                |   0
 extensions-builtin/ScuNET/scripts/scunet_model.py   |   0
 extensions-builtin/SwinIR/preload.py                |   0
 extensions-builtin/SwinIR/scripts/swinir_model.py   |   0
 .../canvas-zoom-and-pan/javascript/zoom.js          |   0
 .../canvas-zoom-and-pan/scripts/hotkey_config.py    |   0
 extensions-builtin/canvas-zoom-and-pan/style.css    |   0
 .../scripts/extra_options_section.py                |   0
 extensions-builtin/hypertile/hypertile.py           |   0
 .../hypertile/scripts/hypertile_script.py           |   0
 extensions-builtin/mobile/javascript/mobile.js      |   0
 .../scripts/postprocessing_autosized_crop.py        |   0
 .../scripts/postprocessing_caption.py               |   0
 .../scripts/postprocessing_create_flipped_copies.py |   0
 .../scripts/postprocessing_focal_crop.py            |   0
 .../scripts/postprocessing_split_oversized.py       |   0
 .../javascript/prompt-bracket-checker.js            |   0
 .../soft-inpainting/scripts/soft_inpainting.py      |   0
 extensions/put extensions here.txt                  |   0
 html/card-no-preview.png                            | Bin
 html/extra-networks-card.html                       |   0
 html/extra-networks-copy-path-button.html           |   0
 html/extra-networks-edit-item-button.html           |   0
 html/extra-networks-metadata-button.html            |   0
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 html/licenses.html                                  |   0
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 ...t your deepbooru release project folder here.txt |   0
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 modules/sd_models.py                                |   0
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 modules/sd_models_types.py                          |   0
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old mode 100644
new mode 100755
diff --git a/modules/sd_vae_approx.py b/modules/sd_vae_approx.py
old mode 100644
new mode 100755
diff --git a/modules/sd_vae_taesd.py b/modules/sd_vae_taesd.py
old mode 100644
new mode 100755
diff --git a/modules/shared.py b/modules/shared.py
old mode 100644
new mode 100755
diff --git a/modules/shared_cmd_options.py b/modules/shared_cmd_options.py
old mode 100644
new mode 100755
diff --git a/modules/shared_gradio_themes.py b/modules/shared_gradio_themes.py
old mode 100644
new mode 100755
diff --git a/modules/shared_init.py b/modules/shared_init.py
old mode 100644
new mode 100755
diff --git a/modules/shared_items.py b/modules/shared_items.py
old mode 100644
new mode 100755
diff --git a/modules/shared_options.py b/modules/shared_options.py
old mode 100644
new mode 100755
diff --git a/modules/shared_state.py b/modules/shared_state.py
old mode 100644
new mode 100755
diff --git a/modules/shared_total_tqdm.py b/modules/shared_total_tqdm.py
old mode 100644
new mode 100755
diff --git a/modules/styles.py b/modules/styles.py
old mode 100644
new mode 100755
diff --git a/modules/sub_quadratic_attention.py b/modules/sub_quadratic_attention.py
old mode 100644
new mode 100755
diff --git a/modules/sysinfo.py b/modules/sysinfo.py
old mode 100644
new mode 100755
diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
old mode 100644
new mode 100755
diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py
old mode 100644
new mode 100755
diff --git a/modules/textual_inversion/image_embedding.py b/modules/textual_inversion/image_embedding.py
old mode 100644
new mode 100755
diff --git a/modules/textual_inversion/learn_schedule.py b/modules/textual_inversion/learn_schedule.py
old mode 100644
new mode 100755
diff --git a/modules/textual_inversion/saving_settings.py b/modules/textual_inversion/saving_settings.py
old mode 100644
new mode 100755
diff --git a/modules/textual_inversion/test_embedding.png b/modules/textual_inversion/test_embedding.png
old mode 100644
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diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
old mode 100644
new mode 100755
diff --git a/modules/textual_inversion/ui.py b/modules/textual_inversion/ui.py
old mode 100644
new mode 100755
diff --git a/modules/timer.py b/modules/timer.py
old mode 100644
new mode 100755
diff --git a/modules/torch_utils.py b/modules/torch_utils.py
old mode 100644
new mode 100755
diff --git a/modules/txt2img.py b/modules/txt2img.py
old mode 100644
new mode 100755
diff --git a/modules/ui.py b/modules/ui.py
old mode 100644
new mode 100755
diff --git a/modules/ui_checkpoint_merger.py b/modules/ui_checkpoint_merger.py
old mode 100644
new mode 100755
diff --git a/modules/ui_common.py b/modules/ui_common.py
old mode 100644
new mode 100755
diff --git a/modules/ui_components.py b/modules/ui_components.py
old mode 100644
new mode 100755
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
old mode 100644
new mode 100755
diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py
old mode 100644
new mode 100755
diff --git a/modules/ui_extra_networks_checkpoints.py b/modules/ui_extra_networks_checkpoints.py
old mode 100644
new mode 100755
diff --git a/modules/ui_extra_networks_checkpoints_user_metadata.py b/modules/ui_extra_networks_checkpoints_user_metadata.py
old mode 100644
new mode 100755
diff --git a/modules/ui_extra_networks_hypernets.py b/modules/ui_extra_networks_hypernets.py
old mode 100644
new mode 100755
diff --git a/modules/ui_extra_networks_textual_inversion.py b/modules/ui_extra_networks_textual_inversion.py
old mode 100644
new mode 100755
diff --git a/modules/ui_extra_networks_user_metadata.py b/modules/ui_extra_networks_user_metadata.py
old mode 100644
new mode 100755
diff --git a/modules/ui_gradio_extensions.py b/modules/ui_gradio_extensions.py
old mode 100644
new mode 100755
diff --git a/modules/ui_loadsave.py b/modules/ui_loadsave.py
old mode 100644
new mode 100755
diff --git a/modules/ui_postprocessing.py b/modules/ui_postprocessing.py
old mode 100644
new mode 100755
diff --git a/modules/ui_prompt_styles.py b/modules/ui_prompt_styles.py
old mode 100644
new mode 100755
diff --git a/modules/ui_settings.py b/modules/ui_settings.py
old mode 100644
new mode 100755
diff --git a/modules/ui_tempdir.py b/modules/ui_tempdir.py
old mode 100644
new mode 100755
diff --git a/modules/ui_toprow.py b/modules/ui_toprow.py
old mode 100644
new mode 100755
diff --git a/modules/upscaler.py b/modules/upscaler.py
old mode 100644
new mode 100755
diff --git a/modules/upscaler_utils.py b/modules/upscaler_utils.py
old mode 100644
new mode 100755
diff --git a/modules/util.py b/modules/util.py
old mode 100644
new mode 100755
diff --git a/modules/xlmr.py b/modules/xlmr.py
old mode 100644
new mode 100755
diff --git a/modules/xlmr_m18.py b/modules/xlmr_m18.py
old mode 100644
new mode 100755
diff --git a/modules/xpu_specific.py b/modules/xpu_specific.py
old mode 100644
new mode 100755
diff --git a/package.json b/package.json
old mode 100644
new mode 100755
diff --git a/pyproject.toml b/pyproject.toml
old mode 100644
new mode 100755
diff --git a/requirements-test.txt b/requirements-test.txt
old mode 100644
new mode 100755
diff --git a/requirements.txt b/requirements.txt
old mode 100644
new mode 100755
diff --git a/requirements_npu.txt b/requirements_npu.txt
old mode 100644
new mode 100755
diff --git a/requirements_versions.txt b/requirements_versions.txt
old mode 100644
new mode 100755
diff --git a/screenshot.png b/screenshot.png
old mode 100644
new mode 100755
diff --git a/script.js b/script.js
old mode 100644
new mode 100755
diff --git a/scripts/custom_code.py b/scripts/custom_code.py
old mode 100644
new mode 100755
diff --git a/scripts/img2imgalt.py b/scripts/img2imgalt.py
old mode 100644
new mode 100755
diff --git a/scripts/loopback.py b/scripts/loopback.py
old mode 100644
new mode 100755
diff --git a/scripts/outpainting_mk_2.py b/scripts/outpainting_mk_2.py
old mode 100644
new mode 100755
diff --git a/scripts/poor_mans_outpainting.py b/scripts/poor_mans_outpainting.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_codeformer.py b/scripts/postprocessing_codeformer.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_gfpgan.py b/scripts/postprocessing_gfpgan.py
old mode 100644
new mode 100755
diff --git a/scripts/postprocessing_upscale.py b/scripts/postprocessing_upscale.py
old mode 100644
new mode 100755
diff --git a/scripts/prompt_matrix.py b/scripts/prompt_matrix.py
old mode 100644
new mode 100755
diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
old mode 100644
new mode 100755
diff --git a/scripts/sd_upscale.py b/scripts/sd_upscale.py
old mode 100644
new mode 100755
diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
old mode 100644
new mode 100755
diff --git a/style.css b/style.css
old mode 100644
new mode 100755
diff --git a/test/__init__.py b/test/__init__.py
old mode 100644
new mode 100755
diff --git a/test/conftest.py b/test/conftest.py
old mode 100644
new mode 100755
diff --git a/test/test_extras.py b/test/test_extras.py
old mode 100644
new mode 100755
diff --git a/test/test_face_restorers.py b/test/test_face_restorers.py
old mode 100644
new mode 100755
diff --git a/test/test_files/empty.pt b/test/test_files/empty.pt
old mode 100644
new mode 100755
diff --git a/test/test_files/img2img_basic.png b/test/test_files/img2img_basic.png
old mode 100644
new mode 100755
diff --git a/test/test_files/mask_basic.png b/test/test_files/mask_basic.png
old mode 100644
new mode 100755
diff --git a/test/test_files/two-faces.jpg b/test/test_files/two-faces.jpg
old mode 100644
new mode 100755
diff --git a/test/test_img2img.py b/test/test_img2img.py
old mode 100644
new mode 100755
diff --git a/test/test_outputs/.gitkeep b/test/test_outputs/.gitkeep
old mode 100644
new mode 100755
diff --git a/test/test_torch_utils.py b/test/test_torch_utils.py
old mode 100644
new mode 100755
diff --git a/test/test_txt2img.py b/test/test_txt2img.py
old mode 100644
new mode 100755
diff --git a/test/test_utils.py b/test/test_utils.py
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/hypernetwork.txt b/textual_inversion_templates/hypernetwork.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/none.txt b/textual_inversion_templates/none.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/style.txt b/textual_inversion_templates/style.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/style_filewords.txt b/textual_inversion_templates/style_filewords.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/subject.txt b/textual_inversion_templates/subject.txt
old mode 100644
new mode 100755
diff --git a/textual_inversion_templates/subject_filewords.txt b/textual_inversion_templates/subject_filewords.txt
old mode 100644
new mode 100755
diff --git a/webui-macos-env.sh b/webui-macos-env.sh
old mode 100644
new mode 100755
diff --git a/webui-user.bat b/webui-user.bat
old mode 100644
new mode 100755
diff --git a/webui-user.sh b/webui-user.sh
old mode 100644
new mode 100755
index 70306c60d5b..7d5e6f6a941
--- a/webui-user.sh
+++ b/webui-user.sh
@@ -10,16 +10,18 @@
 #clone_dir="stable-diffusion-webui"
 
 # Commandline arguments for webui.py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention"
-#export COMMANDLINE_ARGS=""
+export COMMANDLINE_ARGS="--listen --no-gradio-queue --no-half-vae --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
+# Use this one below to reinstall pytorch
+# export COMMANDLINE_ARGS="--listen --reinstall-pytorch --no-gradio-queue --no-half-vae --xformers --enable-insecure-extension-access --skip-torch-cuda-test --api --port 7890 --autolaunch"
 
 # python3 executable
-#python_cmd="python3"
+# python_cmd="/home/evanhu/.pyenv/versions/3.10.13/bin/python3.10"
 
 # git executable
 #export GIT="git"
 
 # python3 venv without trailing slash (defaults to ${install_dir}/${clone_dir}/venv)
-#venv_dir="venv"
+# venv_dir="/home/evanhu/.pyenv/versions/3.10.13/envs/venv"
 
 # script to launch to start the app
 #export LAUNCH_SCRIPT="launch.py"
@@ -28,7 +30,7 @@
 #export TORCH_COMMAND="pip install torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113"
 
 # Requirements file to use for stable-diffusion-webui
-#export REQS_FILE="requirements_versions.txt"
+export REQS_FILE="requirements_versions.txt"
 
 # Fixed git repos
 #export K_DIFFUSION_PACKAGE=""
diff --git a/webui.bat b/webui.bat
old mode 100644
new mode 100755
diff --git a/webui.py b/webui.py
old mode 100644
new mode 100755
diff --git a/webui.sh b/webui.sh
index 7acea902cfc..120c35f4f8b 100755
--- a/webui.sh
+++ b/webui.sh
@@ -67,7 +67,7 @@ then
 fi
 
 # this script cannot be run as root by default
-can_run_as_root=0
+can_run_as_root=1
 
 # read any command line flags to the webui.sh script
 while getopts "f" flag > /dev/null 2>&1

From 87794a244b72bed832459cd3ef990a2e02f1b6f8 Mon Sep 17 00:00:00 2001
From: Evan <evan@shortbread.ai>
Date: Wed, 26 Jun 2024 22:21:04 +0000
Subject: [PATCH 124/125] stable

---
 .gitignore                                    |   2 -
 config_states/2024_06_26-22_19_45_STABLE.json | 199 ++++++++++++++++++
 embeddings/negHand.pt                         | Bin 0 -> 25533 bytes
 3 files changed, 199 insertions(+), 2 deletions(-)
 create mode 100644 config_states/2024_06_26-22_19_45_STABLE.json
 create mode 100644 embeddings/negHand.pt

diff --git a/.gitignore b/.gitignore
index 96cfe22dbd1..5ba1b63c386 100755
--- a/.gitignore
+++ b/.gitignore
@@ -16,7 +16,6 @@ __pycache__
 /config.json
 /log
 /webui.settings.bat
-/embeddings
 /styles.csv
 /params.txt
 /styles.csv.bak
@@ -33,7 +32,6 @@ notification.mp3
 /test/stdout.txt
 /test/stderr.txt
 /cache.json*
-/config_states/
 /node_modules
 /package-lock.json
 /.coverage*
diff --git a/config_states/2024_06_26-22_19_45_STABLE.json b/config_states/2024_06_26-22_19_45_STABLE.json
new file mode 100644
index 00000000000..121c1d6c704
--- /dev/null
+++ b/config_states/2024_06_26-22_19_45_STABLE.json
@@ -0,0 +1,199 @@
+{
+    "created_at": 1719440385.189873,
+    "webui": {
+        "remote": "https://github.com/kurukuruinc/stable-diffusion-webui.git",
+        "commit_hash": "b35249a0a8c6ae9e042928f232653edf026d08ee",
+        "commit_date": 1719404084,
+        "branch": "master"
+    },
+    "extensions": {
+        "LDSR": {
+            "name": "LDSR",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/LDSR",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "Lora": {
+            "name": "Lora",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/Lora",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "ScuNET": {
+            "name": "ScuNET",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/ScuNET",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "SwinIR": {
+            "name": "SwinIR",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/SwinIR",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "canvas-zoom-and-pan": {
+            "name": "canvas-zoom-and-pan",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/canvas-zoom-and-pan",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "extra-options-section": {
+            "name": "extra-options-section",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/extra-options-section",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "hypertile": {
+            "name": "hypertile",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/hypertile",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "mobile": {
+            "name": "mobile",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/mobile",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "postprocessing-for-training": {
+            "name": "postprocessing-for-training",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/postprocessing-for-training",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "prompt-bracket-checker": {
+            "name": "prompt-bracket-checker",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/prompt-bracket-checker",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "soft-inpainting": {
+            "name": "soft-inpainting",
+            "path": "/home/stable-diffusion-webui/extensions-builtin/soft-inpainting",
+            "enabled": true,
+            "is_builtin": true,
+            "remote": null,
+            "commit_hash": "",
+            "commit_date": null,
+            "branch": null,
+            "have_info_from_repo": false
+        },
+        "a-person-mask-generator": {
+            "name": "a-person-mask-generator",
+            "path": "/home/stable-diffusion-webui/extensions/a-person-mask-generator",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/djbielejeski/a-person-mask-generator.git",
+            "commit_hash": "116560ab5c884bf6b25aade1db27c2f43c02464f",
+            "commit_date": 1718424402,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "sd-webui-api-payload-display": {
+            "name": "sd-webui-api-payload-display",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-api-payload-display",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/huchenlei/sd-webui-api-payload-display.git",
+            "commit_hash": "2d3332d94ffac0943bd35a1943924ed4650c6e63",
+            "commit_date": 1700763306,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "sd-webui-controlnet": {
+            "name": "sd-webui-controlnet",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-controlnet",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git",
+            "commit_hash": "8bbbd0e55ef6e5d71b09c2de2727b36e7bc825b0",
+            "commit_date": 1717952499,
+            "branch": "main",
+            "have_info_from_repo": false
+        },
+        "sd-webui-incantations": {
+            "name": "sd-webui-incantations",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-incantations",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/v0xie/sd-webui-incantations.git",
+            "commit_hash": "95460d5012a4431324a37dd577c89b840208ca0c",
+            "commit_date": 1717882899,
+            "branch": "master",
+            "have_info_from_repo": false
+        },
+        "sd-webui-loractl": {
+            "name": "sd-webui-loractl",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-loractl",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/cheald/sd-webui-loractl.git",
+            "commit_hash": "b48cf602b0c414a362726fa079a284f3ae6a51e2",
+            "commit_date": 1695172598,
+            "branch": "master",
+            "have_info_from_repo": true
+        },
+        "sd-webui-token-downsampling": {
+            "name": "sd-webui-token-downsampling",
+            "path": "/home/stable-diffusion-webui/extensions/sd-webui-token-downsampling",
+            "enabled": true,
+            "is_builtin": false,
+            "remote": "https://github.com/feffy380/sd-webui-token-downsampling.git",
+            "commit_hash": "f1f1cbae82b75d5658b08abbc3cb8ddc0b876cc5",
+            "commit_date": 1710393805,
+            "branch": "main",
+            "have_info_from_repo": false
+        }
+    },
+    "name": "STABLE"
+}
\ No newline at end of file
diff --git a/embeddings/negHand.pt b/embeddings/negHand.pt
new file mode 100644
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literal 0
HcmV?d00001


From fac49c14130743592ce224f327b151c5e92977bc Mon Sep 17 00:00:00 2001
From: Hong Sng <snghong12345@gmail.com>
Date: Sun, 30 Jun 2024 15:07:36 +0000
Subject: [PATCH 125/125] [IMPROVE LORA DATASET LABELING] trim dataset labels
 by removing main prompt words

---
 README.md                                     |   2 +
 _typos.toml                                   |   0
 ...24_06_26-06_37_26_Backup (pre-update).json |   0
 cuda_installer.pyz                            | Bin 0 -> 59469 bytes
 html/extra-networks-pane-dirs.html            |   0
 html/extra-networks-pane-tree.html            |   0
 modules/images.py                             |  33 ++++++
 modules/processing_scripts/sampler.py         |   0
 modules/profiling.py                          |   0
 modules/sd_schedulers.py                      |   0
 ui-config.json                                |  97 +++++++++++++++++-
 11 files changed, 131 insertions(+), 1 deletion(-)
 mode change 100644 => 100755 _typos.toml
 mode change 100644 => 100755 config_states/2024_06_26-06_37_26_Backup (pre-update).json
 create mode 100755 cuda_installer.pyz
 mode change 100644 => 100755 html/extra-networks-pane-dirs.html
 mode change 100644 => 100755 html/extra-networks-pane-tree.html
 mode change 100644 => 100755 modules/processing_scripts/sampler.py
 mode change 100644 => 100755 modules/profiling.py
 mode change 100644 => 100755 modules/sd_schedulers.py

diff --git a/README.md b/README.md
index 3831007f5e9..db644352011 100755
--- a/README.md
+++ b/README.md
@@ -33,4 +33,6 @@ pyenv shell 3.10.13
 Ensure there is a Python3.10 installation and it is pointed at in webui-user.sh.
 ```
 sudo ./webui.sh
+sudo pm2 start webui.sh
 ```
+sudo pm2 stop webui
\ No newline at end of file
diff --git a/_typos.toml b/_typos.toml
old mode 100644
new mode 100755
diff --git a/config_states/2024_06_26-06_37_26_Backup (pre-update).json b/config_states/2024_06_26-06_37_26_Backup (pre-update).json
old mode 100644
new mode 100755
diff --git a/cuda_installer.pyz b/cuda_installer.pyz
new file mode 100755
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literal 0
HcmV?d00001

diff --git a/html/extra-networks-pane-dirs.html b/html/extra-networks-pane-dirs.html
old mode 100644
new mode 100755
diff --git a/html/extra-networks-pane-tree.html b/html/extra-networks-pane-tree.html
old mode 100644
new mode 100755
diff --git a/modules/images.py b/modules/images.py
index cfdfb338446..f0200b72ae3 100755
--- a/modules/images.py
+++ b/modules/images.py
@@ -22,6 +22,7 @@
 from modules import sd_samplers, shared, script_callbacks, errors
 from modules.paths_internal import roboto_ttf_file
 from modules.shared import opts
+from modules.processing import StableDiffusionProcessing
 
 LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
 
@@ -621,6 +622,35 @@ def save_image_with_geninfo(image, geninfo, filename, extension=None, existing_p
         image.save(filename, format=image_format, quality=opts.jpeg_quality)
 
 
+def trim_info(info: str, main_prompt: str = "") -> str:
+    """
+    Removes global character identifiers found in original prompt from labels.
+
+    E.g. If a character train image was made with the prompts: “man, tall, muscular, right-facing, suit”
+    The corresponding lora train labels should be “Bob, right-facing, suit” 
+    In other words, we want “tall” and “muscular” to be part of “Bob” - they should not be their own tags because tags are variable 
+    """
+    global_labels = main_prompt.split(",")
+    local_labels = info.split(',')
+
+    # exclude all global labels except the first, which is the character name by convention
+    labels_to_exclude = set(global_labels[1:]) if len(global_labels > 0) else set()
+
+    # iterate through local labels and remove excluded ones
+    # Note: we iterate instead of doing set difference to preserve label order.
+    new_labels = []
+    for label in local_labels:
+        if label not in labels_to_exclude:
+            new_labels.append(label)
+
+    # join labels back into comma-separated list
+    return ",".join(new_labels)
+
+
+
+
+
+
 def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix="", save_to_dirs=None):
     """Save an image.
 
@@ -709,6 +739,9 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     fullfn = params.filename
     info = params.pnginfo.get(pnginfo_section_name, None)
 
+    # Remove global and non-variable labels from the image info
+    info = trim_info(info, p.main_prompt)
+    
     def _atomically_save_image(image_to_save, filename_without_extension, extension):
         """
         save image with .tmp extension to avoid race condition when another process detects new image in the directory
diff --git a/modules/processing_scripts/sampler.py b/modules/processing_scripts/sampler.py
old mode 100644
new mode 100755
diff --git a/modules/profiling.py b/modules/profiling.py
old mode 100644
new mode 100755
diff --git a/modules/sd_schedulers.py b/modules/sd_schedulers.py
old mode 100644
new mode 100755
diff --git a/ui-config.json b/ui-config.json
index 504ee5bcce1..0f3ea221567 100755
--- a/ui-config.json
+++ b/ui-config.json
@@ -2894,5 +2894,100 @@
     "img2img/⤴/visible": true,
     "img2img/Effective Region Mask/visible": true,
     "img2img/Effective Region Mask/value": false,
-    "img2img/PuLID Mode/value": "Fidelity"
+    "img2img/PuLID Mode/value": "Fidelity",
+    "customscript/sampler.py/txt2img/Sampling method/visible": true,
+    "customscript/sampler.py/txt2img/Sampling method/value": "DPM++ 2M",
+    "customscript/sampler.py/txt2img/Schedule type/visible": true,
+    "customscript/sampler.py/txt2img/Schedule type/value": "Automatic",
+    "customscript/sampler.py/txt2img/Sampling steps/visible": true,
+    "customscript/sampler.py/txt2img/Sampling steps/value": 20,
+    "customscript/sampler.py/txt2img/Sampling steps/minimum": 1,
+    "customscript/sampler.py/txt2img/Sampling steps/maximum": 150,
+    "customscript/sampler.py/txt2img/Sampling steps/step": 1,
+    "txt2img/Checkpoint/visible": true,
+    "txt2img/Checkpoint/value": "Use same checkpoint",
+    "txt2img/Hires schedule type/visible": true,
+    "txt2img/Hires schedule type/value": "Use same scheduler",
+    "customscript/refiner.py/txt2img/Refiner/visible": true,
+    "img2img/Tabs@img2img_batch_source/selected": null,
+    "customscript/soft_inpainting.py/img2img/Soft inpainting/visible": true,
+    "customscript/sampler.py/img2img/Sampling method/visible": true,
+    "customscript/sampler.py/img2img/Sampling method/value": "DPM++ 2M",
+    "customscript/sampler.py/img2img/Schedule type/visible": true,
+    "customscript/sampler.py/img2img/Schedule type/value": "Automatic",
+    "customscript/sampler.py/img2img/Sampling steps/visible": true,
+    "customscript/sampler.py/img2img/Sampling steps/value": 20,
+    "customscript/sampler.py/img2img/Sampling steps/minimum": 1,
+    "customscript/sampler.py/img2img/Sampling steps/maximum": 150,
+    "customscript/sampler.py/img2img/Sampling steps/step": 1,
+    "customscript/refiner.py/img2img/Refiner/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Enable/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Enable/value": false,
+    "customscript/a_person_mask_generator.py/img2img/Mask/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Mask/value": [
+        "face (skin)"
+    ],
+    "img2img/Preview Mask */visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Mask dilation, pixels/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Mask dilation, pixels/value": 0,
+    "customscript/a_person_mask_generator.py/img2img/Mask dilation, pixels/minimum": 0,
+    "customscript/a_person_mask_generator.py/img2img/Mask dilation, pixels/maximum": 64,
+    "customscript/a_person_mask_generator.py/img2img/Mask dilation, pixels/step": 1,
+    "customscript/a_person_mask_generator.py/img2img/Override mask settings/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Override mask settings/value": false,
+    "customscript/a_person_mask_generator.py/img2img/Mask blur/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Mask blur/value": 4,
+    "customscript/a_person_mask_generator.py/img2img/Mask blur/minimum": 0,
+    "customscript/a_person_mask_generator.py/img2img/Mask blur/maximum": 64,
+    "customscript/a_person_mask_generator.py/img2img/Mask blur/step": 1,
+    "customscript/a_person_mask_generator.py/img2img/Mask mode/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Mask mode/value": "Inpaint masked",
+    "customscript/a_person_mask_generator.py/img2img/Masked content/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Masked content/value": "original",
+    "customscript/a_person_mask_generator.py/img2img/Inpaint area/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Inpaint area/value": "Whole picture",
+    "customscript/a_person_mask_generator.py/img2img/Only masked padding, pixels/visible": true,
+    "customscript/a_person_mask_generator.py/img2img/Only masked padding, pixels/value": 32,
+    "customscript/a_person_mask_generator.py/img2img/Only masked padding, pixels/minimum": 0,
+    "customscript/a_person_mask_generator.py/img2img/Only masked padding, pixels/maximum": 256,
+    "customscript/a_person_mask_generator.py/img2img/Only masked padding, pixels/step": 4,
+    "customscript/postprocessing_upscale.py/extras/Upscale/visible": true,
+    "customscript/postprocessing_upscale.py/extras/Upscale/value": true,
+    "customscript/postprocessing_upscale.py/extras/Max side length/visible": true,
+    "customscript/postprocessing_upscale.py/extras/Max side length/value": 0.0,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN/visible": true,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer/visible": true,
+    "customscript/postprocessing_split_oversized.py/extras/Split oversized images/visible": true,
+    "customscript/postprocessing_focal_crop.py/extras/Auto focal point crop/visible": true,
+    "customscript/postprocessing_autosized_crop.py/extras/Auto-sized crop/visible": true,
+    "customscript/postprocessing_autosized_crop.py/extras/Auto-sized crop/value": false,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension lower bound/visible": true,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension lower bound/value": 384,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension lower bound/minimum": 64,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension lower bound/maximum": 2048,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension lower bound/step": 8,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension upper bound/visible": true,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension upper bound/value": 768,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension upper bound/minimum": 64,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension upper bound/maximum": 2048,
+    "customscript/postprocessing_autosized_crop.py/extras/Dimension upper bound/step": 8,
+    "customscript/postprocessing_autosized_crop.py/extras/Area lower bound/visible": true,
+    "customscript/postprocessing_autosized_crop.py/extras/Area lower bound/value": 4096,
+    "customscript/postprocessing_autosized_crop.py/extras/Area lower bound/minimum": 4096,
+    "customscript/postprocessing_autosized_crop.py/extras/Area lower bound/maximum": 4194304,
+    "customscript/postprocessing_autosized_crop.py/extras/Area lower bound/step": 1,
+    "customscript/postprocessing_autosized_crop.py/extras/Area upper bound/visible": true,
+    "customscript/postprocessing_autosized_crop.py/extras/Area upper bound/value": 409600,
+    "customscript/postprocessing_autosized_crop.py/extras/Area upper bound/minimum": 4096,
+    "customscript/postprocessing_autosized_crop.py/extras/Area upper bound/maximum": 4194304,
+    "customscript/postprocessing_autosized_crop.py/extras/Area upper bound/step": 1,
+    "customscript/postprocessing_autosized_crop.py/extras/Resizing objective/visible": true,
+    "customscript/postprocessing_autosized_crop.py/extras/Resizing objective/value": "Maximize area",
+    "customscript/postprocessing_autosized_crop.py/extras/Error threshold/visible": true,
+    "customscript/postprocessing_autosized_crop.py/extras/Error threshold/value": 0.1,
+    "customscript/postprocessing_autosized_crop.py/extras/Error threshold/minimum": 0,
+    "customscript/postprocessing_autosized_crop.py/extras/Error threshold/maximum": 1,
+    "customscript/postprocessing_autosized_crop.py/extras/Error threshold/step": 0.01,
+    "customscript/postprocessing_create_flipped_copies.py/extras/Create flipped copies/visible": true,
+    "customscript/postprocessing_caption.py/extras/Caption/visible": true
 }
\ No newline at end of file