47 lines
1022 B
Markdown
47 lines
1022 B
Markdown
# docker-comfyui
|
|
|
|
Build and run ComfyUI in a container. This build targets NVIDIA by basing it on
|
|
the CUDA PyTorch runtime image. The only extra dependencies needed are `git`, to
|
|
clone the official ComfyUI repository, and `build-essential` for `gcc`, which
|
|
Triton requires. The image pulls a specific, pinned ComfyUI version via the
|
|
`COMFYUI_VERSION` build arg. The build merely shallow-clones the repo and
|
|
installs its requirements with `pip`. Kept intentionally simple.
|
|
|
|
### `.env` configuration
|
|
|
|
- `IMAGE`
|
|
- Image name
|
|
- Default: `localhost/comfyui`
|
|
- `VERSION`
|
|
- Image tag
|
|
- Default: `latest`
|
|
- `NAME`
|
|
- Container name
|
|
- Default: `comfyui`
|
|
- `RESTART`
|
|
- Restart policy
|
|
- Default: `unless-stopped`
|
|
- `ENDPOINT`
|
|
- Host bind
|
|
- Default: `127.0.0.1:8188`
|
|
- `DATA`
|
|
- Host directory holding all persistent data
|
|
- Default: `./data`
|
|
- `GPU`
|
|
- CDI device
|
|
- Default: `nvidia.com/gpu=all`
|
|
|
|
### Quick start
|
|
|
|
1. Build
|
|
|
|
```
|
|
docker compose build
|
|
```
|
|
|
|
2. Run
|
|
|
|
```
|
|
docker compose up -d
|
|
```
|