Evan Carmen
1f5aeb5248
Docker-based ComfyUI setup for NVIDIA DGX Spark ARM64 + sm_121: - CUDA 13.0.2 base (required for compute_121 support) - PyTorch 2.9.1+cu130 ARM64 wheels - SageAttention compiled with TORCH_CUDA_ARCH_LIST="12.1" - Triton/torch.compile disabled (no sm_121 support yet) - ComfyUI-Manager auto-installed at runtime - Configurable model/data paths via .env 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
54 lines
1.7 KiB
YAML
54 lines
1.7 KiB
YAML
services:
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comfyui:
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build:
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context: .
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dockerfile: Dockerfile
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args:
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# Pin ComfyUI to a known-good commit/tag if desired
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COMFYUI_REF: "${COMFYUI_REF:-master}"
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# SageAttention ref (e.g., "main", "v2.2.0", or specific commit)
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SAGEATTN_REF: "${SAGEATTN_REF:-main}"
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image: sparkyui:cu130
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container_name: comfyui
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# GPU enablement
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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# LAN exposure
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ports:
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- "${COMFYUI_PORT:-8188}:8188"
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environment:
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COMFYUI_PORT: "${COMFYUI_PORT:-8188}"
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COMFYUI_FLAGS: "${COMFYUI_FLAGS:---listen 0.0.0.0 --port 8188 --gpu-only}"
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NVIDIA_VISIBLE_DEVICES: "all"
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NVIDIA_DRIVER_CAPABILITIES: "compute,utility"
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# Disable torch.compile/inductor - Triton doesn't support Blackwell sm_121a yet
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TORCH_COMPILE_DISABLE: "1"
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TORCHDYNAMO_DISABLE: "1"
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volumes:
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# Models from existing ComfyUI install (read-only)
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- ${COMFYUI_HOST_PATH}/models:/opt/ComfyUI/models:ro
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# Custom nodes - comment out to use container-only (fresh) custom_nodes
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# If mounted, ComfyUI-Manager installs persist across container restarts
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- ${SPARKYUI_DATA_PATH}/custom_nodes:/opt/ComfyUI/custom_nodes
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# Outputs/inputs/workflows - persistent across restarts
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- ${SPARKYUI_DATA_PATH}/output:/opt/ComfyUI/output
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- ${SPARKYUI_DATA_PATH}/input:/opt/ComfyUI/input
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- ${SPARKYUI_DATA_PATH}/workflows:/opt/ComfyUI/workflows
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# Wheel cache (optional - for prebuilt wheels)
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- ${SPARKYUI_DATA_PATH}/wheels:/opt/wheels
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restart: unless-stopped
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