InvokeAI Version 2.0.0 - A Stable Diffusion Toolkit

The invoke-ai team is excited to be able to share the release of InvokeAI 2.0 - A Stable Diffusion Toolkit, a project that aims to provide enthusiasts and professionals both a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2).

InvokeAI was one of the earliest forks of the core CompVis repo (formerly lstein/stable-diffusion), and recently evolved into a full-fledged community driven and open source stable diffusion toolkit named InvokeAI. Version 2.0.0 of the tool introduces an entirely new WebUI Front-end with a Desktop mode, and an optimized back-end server that can be interacted with via CLI or extended with your own fork.

This version of the app improves in-app workflows leveraging GFPGAN and Codeformer for face restoration, and RealESRGAN upscaling - Additionally, the CLI also supports a large variety of features:

• Inpainting
• Outpainting
• Negative Prompts (prompt unconditioning)
• Textual Inversion
• Improved Quality for Hi-Resolution Images (Embiggen, Hi-res Fixes, etc.)
• And more...

Future updates planned included UI driven outpainting/inpainting, robust Cross Attention support, and an advanced node workflow for automating and sharing your workflows with the community.

SD-Dream Version 1.14.1

This is identical to release 1.14 except that it reverts the name of the conda environment from "sd-ldm" back to the original "ldm".

Features from 1.14:

• Memory optimizations for small-RAM cards. 512x512 now possible on 4 GB GPUs.
• Full support for Apple hardware with M1 or M2 chips.
• Add "seamless mode" for circular tiling of image. Generates beautiful effects. (prixt).
• Inpainting support.
• Improved web server GUI.
• Lots of code and documentation cleanups.

SD-Dream Version 1.14

• Memory optimizations for small-RAM cards. 512x512 now possible on 4 GB GPUs.
• Full support for Apple hardware with M1 or M2 chips.
• Add "seamless mode" for circular tiling of image. Generates beautiful effects. (prixt).
• Inpainting support.
• Improved web server GUI.
• Lots of code and documentation cleanups.

SD-Dream Version 1.13

New features and bug fixes:

• Support image variations (see VARIATIONS.md) (Kevin Gibbons and many contributors and reviewers)
• Supports a Google Colab notebook for a standalone server running on Google hardware Arturo Mendivil
• WebUI supports GFPGAN/ESRGAN facial reconstruction and upscaling Kevin Gibbons
• WebUI supports incremental display of in-progress images during generation Kevin Gibbons
• A new configuration file scheme that allows new models (including upcoming stable-diffusion-v1.5) to be added without altering the code. (David Wager)
• Can specify --grid on dream.py command line as the default.
• Miscellaneous internal bug and stability fixes.
• Works on M1 Apple hardware (several contributors, but particular thanks to James Reynolds )
• Multiple bug fixes.