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