50 lines
1.1 KiB
Markdown
50 lines
1.1 KiB
Markdown
# docker-comfyui
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Build and run ComfyUI in a container with ComfyUI-Manager. This build targets
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NVIDIA GPUs by using the CUDA PyTorch runtime image. Added dependencies are
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`libgl1` and `libx11-6` for the comfy_extras GLSL nodes, `tini` to handle SIGINT
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signals, `git` to clone the ComfyUI repository, and `build-essential` for gcc,
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which Triton requires.
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The image pulls a specific, pinned ComfyUI version via the `COMFYUI_VERSION`
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build arg. The build merely shallow-clones the repo and installs its
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requirements with pip. Kept intentionally simple.
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### `.env` configuration
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- `IMAGE`
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- Image name
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- Default: `localhost/comfyui`
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- `VERSION`
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- Image tag
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- Default: `latest`
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- `NAME`
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- Container name
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- Default: `comfyui`
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- `RESTART`
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- Restart policy
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- Default: `unless-stopped`
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- `ENDPOINT`
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- Host bind
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- Default: `127.0.0.1:8188`
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- `DATA`
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- Host directory holding all persistent data
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- Default: `./data`
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- `GPU`
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- CDI device
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- Default: `nvidia.com/gpu=all`
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### Quick start
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1. Build
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```
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docker compose build
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```
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2. Run
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```
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docker compose up -d
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```
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