docker-comfyui

Build and run ComfyUI in a container with ComfyUI-Manager. This build targets NVIDIA GPUs by using the CUDA PyTorch runtime image. Added dependencies are libgl1 and libx11-6 for the comfy_extras GLSL nodes, tini to handle SIGINT signals, git to clone the 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