# 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