ashleykleynhans/stable-diffusion-docker

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Docker image for A1111 Stable Diffusion Web UI, Kohya_ss and ComfyUI Now with SDXL support. Installs Ubuntu 22.04 LTS CUDA 11.8 Python 3.10.12 Automatic1111 Stable Diffusion Web UI 1.6.0 Dreambooth extension 1.0.14 Deforum extension ControlNet extension v1.1.410 After Detailer extension v23.10.0 Locon extension roop extension 0.0.2 Inpaint Anything extension Infinite Image Browsing extension Kohya_ss v22.0.1 ComfyUI ComfyUI Manager Torch 2.1.0 xformers 0.0.22 sd_xl_base_1.0.safetensors sd_xl_refiner_1.0.safetensors sdxl_vae.safetensors inswapper_128.onnx runpodctl croc rclone Application Manager Available on RunPod This image is designed to work on RunPod. You can use my custom RunPod template to launch it on RunPod. Building the Docker image Since the Stable Diffusion models are pretty large, you will need at least 8GB of system memory (not GPU VRAM) to build this image. The image CAN be built on a t3a.large AWS EC2 instance which has 2 x vCPU and 8GB of system memory. It CANNOT be built on any instances with less memory, eg. t3a.medium. # Clone the repo git clone https://github.com/ashleykleynhans/stable-diffusion-docker.git # Download the models cd stable-diffusion-docker wget https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned.safetensors wget https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors wget https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors wget https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors wget https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/resolve/main/sdxl_vae.safetensors # Build and tag the image docker build -t username/image-name:1.0.0 . # Log in to Docker Hub docker login # Push the image to Docker Hub docker push username/image-name:1.0.0 Running Locally Install Nvidia CUDA Driver Linux Windows Start the Docker container docker run -d \ --gpus all \ -v /workspace \ -p 3000:3001 \ -p 3010:3011 \ -p 3020:3021 \ -p 6006:6066 \ -p 8888:8888 \ -e JUPYTER_PASSWORD=Jup1t3R! \ -e ENABLE_TENSORBOARD=1 \ ashleykza/stable-diffusion-webui:3.2.0 You can obviously substitute the image name and tag with your own. Acknowledgements RunPod for providing most of the container code. Dr. Furkan Gözükara for his amazing YouTube videos. Bernard Maltais (core developer of Kohya_ss) for assisting with optimizing the Docker image. Community and Contributing Pull requests and issues on GitHub are welcome. Bug fixes and new features are encouraged. You can contact me and get help with deploying your container to RunPod on the RunPod Discord Server below, my username is ashleyk. Appreciate my work?