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# Use an official NVIDIA CUDA base image
# CUDA 12.1 is highly recommended for PyTorch 2.x stability and xformers compatibility
FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04
# Set environment variables to prevent interactive prompts during build
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1
# Install required system dependencies
# Added libgl1 and libglib2.0-0 which are strictly required by OpenCV and many custom nodes
RUN apt-get update && apt-get install -y --no-install-recommends \
python3 \
python3-pip \
python3-dev \
git \
git-lfs \
wget \
ffmpeg \
libgl1 \
libglib2.0-0 \
&& apt-get clean && rm -rf /var/lib/apt/lists/*
# Hugging Face Spaces STRICT REQUIREMENT: Create and switch to a non-root user
# Spaces run containers as UID 1000 by default. Failing to do this causes permission denied errors.
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH
# Set the working directory
WORKDIR $HOME/app
# Clone the main ComfyUI repository
RUN git clone https://github.com/comfyanonymous/ComfyUI.git .
# Install PyTorch, TorchVision, and TorchAudio with explicit CUDA support
# This ensures pip does not accidentally fetch the CPU-only wheels
RUN pip3 install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
# Install core ComfyUI dependencies
RUN pip3 install --no-cache-dir -r requirements.txt
# Install ComfyUI-Manager (Highly recommended for installing custom nodes from the UI)
RUN git clone https://github.com/ltdrdata/ComfyUI-Manager.git custom_nodes/ComfyUI-Manager && \
cd custom_nodes/ComfyUI-Manager && \
pip3 install --no-cache-dir -r requirements.txt
# Expose the standard port used by Hugging Face Spaces
EXPOSE 7860
# Start ComfyUI
# Legacy flags like --use-pytorch-cross-attention are omitted since SDPA is natively used in modern PyTorch
CMD ["python3", "main.py", "--listen", "0.0.0.0", "--port", "7860"]
# Before running the ComfyUI
COPY extra_model_paths.yaml /home/user/app/extra_model_paths.yaml