install on AMD

The instructions below only work on Linux! An alternative guide for Windows user can be found here (untested).

Running natively

Execute the following:

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' python launch.py --precision full --no-half

In following runs you will only need to execute:

cd 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' python launch.py --precision full --no-half

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 “Running inside Docker”-guide below.

Running inside Docker

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

bash`. ```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 "Running inside Docker"): Execute the following inside the container: ```bash 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 "Running inside Docker" again, skipping the `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui` and using the modified launch-command below instead: ```bash TORCH_COMMAND='pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.1.1' python launch.py --precision full --no-half ``` It's possible that you don't need "--precision full", dropping "--no-half" however it may not work for everyone. Certain cards like the Radeon RX 6000 Series and the RX 500 Series have been will function normally without the option `--precision full --no-half`, saving plenty of vram. (noted [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/5468).) Always use this new launch-command from now on, also when restarting the web UI in following runs.

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