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https://github.com/jamesbrink/docker-comfyui
Docker Image for ComfyUI Stable Diffusion
https://github.com/jamesbrink/docker-comfyui
comfyui docker-image stable-diffusion
Last synced: 12 days ago
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Docker Image for ComfyUI Stable Diffusion
- Host: GitHub
- URL: https://github.com/jamesbrink/docker-comfyui
- Owner: jamesbrink
- License: mit
- Created: 2024-08-11T03:19:18.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-01-14T02:40:18.000Z (24 days ago)
- Last Synced: 2025-01-14T03:37:31.208Z (24 days ago)
- Topics: comfyui, docker-image, stable-diffusion
- Language: Dockerfile
- Homepage: https://github.com/comfyanonymous/ComfyUI
- Size: 50.8 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Docker Image for ComfyUI (Stable Diffusion)
## About
A Docker image for running [ComfyUI][ComfyUI] with [ComfyUI Manager][ComfyUIManager] pre-installed. This image has been tested on **Linux with NVIDIA GPUs**.
The following volume mounts are recommended for data persistence:
- `/comfyui/user`: Contains your workflows and personal workspace settings. Always mount this to preserve your workflows when updating or recreating the container
- `/comfyui/models`: Model files (checkpoints, VAE, Loras, etc.)
- `/comfyui/custom_nodes`: Custom nodes and extensions
- `/comfyui/output`: Generated images and other outputs
- `/comfyui/input`: Input images and other data
The `/comfyui/user` volume is particularly important as it stores your workflow files (`.json`), ensuring you don't lose your work when updating ComfyUI or rebuilding the container. Other volumes like `models`, `input`, and `output` can be shared between different AI tools for a more integrated setup.
## Usage
Build and run the container:
```shell
make
docker run -d --gpus all -p 8188:8188 \
-v ./user:/comfyui/user \
-v ./models:/comfyui/models \
-v ./output:/comfyui/output \
-v ./input:/comfyui/input \
--name comfyui jamesbrink/comfyui
```
Optionally run container on host network:
```shell
docker run -d --gpus all --network=host \
-v ./user:/comfyui/user \
-v ./models:/comfyui/models \
-v ./output:/comfyui/output \
-v ./input:/comfyui/input \
--name comfyui jamesbrink/comfyui
```
### Shared Model Setup
If you want to share models between ComfyUI and other tools like Fooocus, you can create a centralized directory structure:
```shell
mkdir -p ~/AI/ComfyUI/user # Workflows and workspace settings
mkdir -p ~/AI/Models/StableDiffusion # Shared models
mkdir -p ~/AI/Output # Generated images
mkdir -p ~/AI/Input # Input data
```
Then run the container with these mapped volumes:
```shell
docker run -d --gpus all --network=host \
-v ~/AI/ComfyUI/user:/comfyui/user \
-v ~/AI/Models/StableDiffusion/:/comfyui/models \
-v ~/AI/Output:/comfyui/output \
-v ~/AI/Input:/comfyui/input \
--name comfyui jamesbrink/comfyui
```
[ComfyUI]: https://github.com/comfyanonymous/ComfyUI
[ComfyUIManager]: https://github.com/ltdrdata/ComfyUI-Manager