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