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Stable Diffusion Webui Docker Image

Prepare the directory mapping in your host:

mkdir -p /MY-DATA-DIR && cd /MY-DATA-DIR
mkdir models outputs
sudo chown 10000:$UID -R models outputs
sudo chmod 775 -R models outputs

Run with CUDA

docker run -it --name sdw --gpus all --network host \
  -v $(pwd)/models:/app/stable-diffusion-webui/models \
  -v $(pwd)/outputs:/app/stable-diffusion-webui/outputs \
  --rm siutin/stable-diffusion-webui-docker:latest-cuda \
  bash webui.sh --share

Run with CPU only

docker run -it --name sdw --network host \
  -v $(pwd)/models:/app/stable-diffusion-webui/models \
  -v $(pwd)/outputs:/app/stable-diffusion-webui/outputs \
  --rm siutin/stable-diffusion-webui-docker:latest-cpu \
  bash webui.sh --skip-torch-cuda-test --use-cpu all --share

Build custom image

# Nvidia CUDA image
nvidia-docker buildx build -f Dockerfile.cuda \
                           --platform linux/amd64 \
                           --build-arg BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ') \
                           --build-arg BUILD_VERSION=custom-cuda \
                           -t siutin/stable-diffusion-webui-docker:custom-cuda .

# CPU only image
docker buildx build -f Dockerfile.cpu \
                           --platform linux/arm64 \
                           --build-arg BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ') \
                           --build-arg BUILD_VERSION=custom-cpu \
                           -t siutin/stable-diffusion-webui-docker:custom-cpu .