36 lines
891 B
Docker
36 lines
891 B
Docker
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# Use NVIDIA's PyTorch image with CUDA support
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FROM docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-runtime
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# Set environment variables
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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# Install system dependencies
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ENV DEBIAN_FRONTEND=noninteractive
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RUN apt-get update && \
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apt-get install -y tzdata git ffmpeg libgl1 libglib2.0-0 && \
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rm -rf /var/lib/apt/lists/*
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ARG UID=1000
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ARG GID=1000
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RUN groupadd --system --gid ${GID} worker && \
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adduser --system --gid ${GID} --uid ${UID} --home /home/worker worker
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WORKDIR /home/worker
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USER worker
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# Clone ComfyUI
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RUN git clone https://github.com/comfyanonymous/ComfyUI.git .
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# Install Python dependencies
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RUN pip install --upgrade pip && \
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pip install -r requirements.txt && \
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rm -rf /home/worker/.cache/pip
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# Expose port
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EXPOSE 8188
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# Run ComfyUI
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CMD ["python", "main.py", "--listen", "0.0.0.0", "--port", "8188"]
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