Install and Run on AMD GPUs

Installing and running on Linux with AMD GPUs

If your AMD GPU is compatible with ROCm, you can try running: TORCH_COMMAND='pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.1.1' python launch.py --precision full --no-half. Make sure to do this in a new virtual environment, or activate your existing environment and pip uninstall torch torchvision beforehand.

The first generation after starting the WebUI might take very long, and you might see a message similar to this:

MIOpen(HIP): Warning [SQLiteBase] Missing system database file: gfx1030_40.kdb Performance may degrade. Please follow instructions to install: https://github.com/ROCmSoftwarePlatform/MIOpen#installing-miopen-kernels-package

The next generations should work with regular performance. You can follow the link in the message, and if you happen to use the same operating system, follow the steps there to fix this issue. If there is no clear way to compile or install the MIOpen kernels for your operating system, consider following the Docker guide below.

Installing and running using Docker

This is only tested using a Linux host!

Pull the latest rocm/pytorch Docker image, start the image and attach to the container (taken from the rocm/pytorch documentation): docker run -it --network=host --device=/dev/kfd --device=/dev/dri --group-add=video --ipc=host --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $HOME/dockerx:/dockerx rocm/pytorch

Execute the following inside the container:

cd /dockerx
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
cd stable-diffusion-webui
python -m venv venv
source venv/bin/activate
python -m pip install --upgrade pip wheel

# It's possible that you don't need "--precision full", dropping "--no-half" however crashes my drivers
TORCH_COMMAND='pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.1.1' REQS_FILE='requirements.txt' python launch.py --precision full --no-half

Following runs will only require you to restart the container, attach to it again and execute the following inside the container: Find the container name from this listing: docker container ls --all, select the one matching the rocm/pytorch image, restart it: docker container restart <container-id> then attach to it: docker exec -it <container-id> bash.

cd /dockerx/stable-diffusion-webui
# Optional: "git pull" to update the repository
source venv/bin/activate

# It's possible that you don't need "--precision full", dropping "--no-half" however crashes my drivers
TORCH_COMMAND='pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.1.1' REQS_FILE='requirements.txt' python launch.py --precision full --no-half

The /dockerx folder inside the container should be accessible in your home directory under the same name.

Updating Python version inside Docker

If the web UI becomes incompatible with the pre-installed Python 3.7 version inside the Docker image, here are instructions on how to update it (assuming you have successfully followed "Installing and running using Docker"):

Execute the following inside the container:

apt install python3.9-full # Confirm every prompt
update-alternatives --install /usr/local/bin/python python /usr/bin/python3.9 1
echo 'PATH=/usr/local/bin:$PATH' >> ~/.bashrc

Then restart the container and attach again. If you check python --version it should now say Python 3.9.5 or newer.

Run rm -rf /dockerx/stable-diffusion-webui/venv inside the container and then follow the steps in "Installing and running using Docker" again, skipping the git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui and using the modified launch command below instead:

# It's possible that you don't need "--precision full", dropping "--no-half" however crashes my drivers
TORCH_COMMAND='pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.1.1' python launch.py --precision full --no-half

Always use this new launch-command from now on, also when restarting the web UI in following runs.