webcaetano / stable-diffusion-docker

Docker image for Stable Diffusion WebUI with ControlNet, After Detailer, Dreambooth, Deforum and ReActor extensions, as well as Kohya_ss and ComfyUI

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
• Torch 2.0.1
• xformers 0.0.22
• Jupyter Lab
• Automatic1111 Stable Diffusion Web UI 1.7.0
• Dreambooth extension 1.0.14
• ControlNet extension v1.1.441
• After Detailer extension v24.3.0
• Locon extension
• ReActor extension (replaces roop)
• Inpaint Anything extension
• Infinite Image Browsing extension
• CivitAI extension
• CivitAI Browser+ extension
• Kohya_ss v22.6.2
• ComfyUI
• ComfyUI Manager
• sd_xl_base_1.0.safetensors
• sd_xl_refiner_1.0.safetensors
• sdxl_vae.safetensors
• inswapper_128.onnx
• runpodctl
• OhMyRunPod
• RunPod File Uploader
• 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

In order to cache the models, you will need at least 32GB of CPU/system memory (not VRAM) due to the large size of the models. If you have less than 32GB of system memory, you can comment out or remove the code in the Dockerfile that caches the models.

# 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 8000:8000 \
  -p 8888:8888 \
  -p 2999:2999 \
  -e JUPYTER_PASSWORD=Jup1t3R! \
  -e ENABLE_TENSORBOARD=1 \
  ashleykza/stable-diffusion-webui:latest

You can obviously substitute the image name and tag with your own.

Ports

Connect Port	Internal Port	Description
3000	3001	A1111 Stable Diffusion Web UI
3010	3011	Kohya_ss
3020	3021	ComfyUI
6006	6066	Tensorboard
8000	8000	Application Manager
8888	8888	Jupyter Lab
2999	2999	RunPod File Uploader

Environment Variables

Variable	Description	Default
VENV_PATH	Set the path for the Python venv for the app	/workspace/venvs/stable-diffusion-webui
DISABLE_AUTOLAUNCH	Disable Web UIs from launching automatically	enabled
ENABLE_TENSORBOARD	Enables Tensorboard on port 6006	enabled

Logs

Stable Diffusion Web UI, Kohya SS, and ComfyUI each create log files, and you can tail the log files instead of killing the services to view the logs

Application	Log file
Stable Diffusion Web UI	/workspace/logs/webui.log
Kohya SS	/workspace/logs/kohya_ss.log
ComfyUI	/workspace/logs/comfyui.log

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?