Awesome

Docker image for A1111 Stable Diffusion Web UI, Kohya_ss, ComfyUI and InvokeAI

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Now with SDXL support.

Installs

Ubuntu 22.04 LTS
CUDA 12.1
Python 3.10.12
Torch 2.4.0
xformers 0.0.27.post2
Jupyter Lab
code-server
Automatic1111 Stable Diffusion Web UI 1.10.0
ControlNet extension v1.1.455
After Detailer extension v24.6.0
Locon extension
ReActor extension
Deforum extension
Inpaint Anything extension
Infinite Image Browsing extension
CivitAI extension
CivitAI Browser+ extension
TensorRT extension
Stable Diffusion Dynamic Thresholding (CFG Scale Fix) extension
Kohya_ss v24.1.6
ComfyUI
ComfyUI Manager
InvokeAI v4.2.7post1
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
CivitAI Downloader

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

[!NOTE] You will need to edit the docker-bake.hcl file and update REGISTRY_USER, and RELEASE. You can obviously edit the other values too, but these are the most important ones.

[!IMPORTANT] 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

# Log in to Docker Hub
docker login

# Build the image, tag the image, and push the image to Docker Hub
docker buildx bake -f docker-bake.hcl --push

# Same as above but customize registry/user/release:
REGISTRY=ghcr.io REGISTRY_USER=myuser RELEASE=my-release docker buildx \
    bake -f docker-bake.hcl --push

Running Locally

Install Nvidia CUDA Driver

Start the Docker container

docker run -d \
  --gpus all \
  -v /workspace \
  -p 2999:2999 \
  -p 3000:3001 \
  -p 3010:3011 \
  -p 3020:3021 \
  -p 6006:6066 \
  -p 7777:7777 \
  -p 8000:8000 \
  -p 8888:8888 \
  -p 9090:9090 \
  -e VENV_PATH=/workspace/venvs/a1111 \
  -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
9090	9090	InvokeAI
6006	6066	Tensorboard
7777	7777	Code Server
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/a1111
JUPYTER_LAB_PASSWORD	Set a password for Jupyter lab	not set - no password
DISABLE_AUTOLAUNCH	Disable Web UIs from launching automatically	(not set)
DISABLE_SYNC	Disable syncing if using a RunPod network volume	(not set)
ENABLE_TENSORBOARD	Enables Tensorboard on port 6006	enabled

Logs

Stable Diffusion Web UI, Kohya SS, ComfyUI, and InvokeAI 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
InvokeAI	/workspace/logs/invokeai.log

For example:

tail -f  /workspace/logs/webui.log

Community and Contributing

Pull requests and issues on GitHub are welcome. Bug fixes and new features are encouraged.

Appreciate my work?