mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-04-15 13:02:35 +08:00
16652fb90a
- Add cupy-cuda12x to base image so CuPy installs from wheels during build without requiring a GPU, matching CUDA 12.x runtime and avoiding compilation on GitHub runners; this pairs with existing CUDA 12.9 libs and ensures CuPy is ready for GPU hosts at runtime. - Keep PyTorch CUDA 12.9, Triton, and media libs; no features removed. - This change follows CuPy’s guidance to install cupy-cuda12x via pip for CUDA 12.x, which expects CUDA headers present via cuda-cudart-dev-12-x (already in image) or the nvidia-cuda-runtime-cu12 PyPI package path if needed, consistent with our Debian CUDA 12.9 setup.
112 lines
4.4 KiB
Docker
112 lines
4.4 KiB
Docker
# Use a recent slim base image
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FROM python:3.12.11-slim-trixie
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# Environment
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ENV DEBIAN_FRONTEND=noninteractive \
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PYTHONUNBUFFERED=1 \
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COMFY_AUTO_INSTALL=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_BREAK_SYSTEM_PACKAGES=1 \
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EXT_PARALLEL=4 \
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NVCC_APPEND_FLAGS="--threads 8" \
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MAX_JOBS=32 \
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SAGE_ATTENTION_AVAILABLE=0
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# Enable non-free repositories and install system deps + CUDA toolkit
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RUN apt-get update && apt-get install -y --no-install-recommends \
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git \
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build-essential \
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cmake \
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libgl1 \
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libglx-mesa0 \
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libglib2.0-0 \
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fonts-dejavu-core \
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fontconfig \
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util-linux \
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wget \
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gnupg2 \
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ca-certificates \
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ninja-build \
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patch \
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&& echo "deb http://deb.debian.org/debian trixie main contrib non-free non-free-firmware" > /etc/apt/sources.list.d/non-free.list \
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&& wget https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/cuda-keyring_1.1-1_all.deb \
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&& dpkg -i cuda-keyring_1.1-1_all.deb \
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&& apt-get update \
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&& apt-get install -y --no-install-recommends \
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cuda-nvcc-12-9 \
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cuda-cudart-dev-12-9 \
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libcusparse-dev-12-9 \
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libcublas-dev-12-9 \
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libcurand-dev-12-9 \
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libcusolver-dev-12-9 \
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libcufft-dev-12-9 \
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nvidia-smi \
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&& rm -rf /var/lib/apt/lists/* \
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&& rm cuda-keyring_1.1-1_all.deb
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# Patch CUDA math_functions.h for glibc 2.41 compatibility
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RUN sed -i 's/extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double sinpi(double x);/extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double sinpi(double x) noexcept (true);/' /usr/local/cuda-12.9/include/crt/math_functions.h && \
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sed -i 's/extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float sinpif(float x);/extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float sinpif(float x) noexcept (true);/' /usr/local/cuda-12.9/include/crt/math_functions.h && \
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sed -i 's/extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double cospi(double x);/extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double cospi(double x) noexcept (true);/' /usr/local/cuda-12.9/include/crt/math_functions.h && \
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sed -i 's/extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float cospif(float x);/extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float cospif(float x) noexcept (true);/' /usr/local/cuda-12.9/include/crt/math_functions.h
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# Set CUDA paths for entrypoint compilation
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ENV CUDA_HOME=/usr/local/cuda-12.9 \
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PATH=/usr/local/cuda-12.9/bin:${PATH} \
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LD_LIBRARY_PATH=/usr/local/cuda-12.9/lib64
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# Create symlink for compatibility
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RUN ln -sf /usr/local/cuda-12.9 /usr/local/cuda
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# Create runtime user/group (fix the original issue)
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RUN set -e; \
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if getent group 1000 >/dev/null 2>&1; then \
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EXISTING_GROUP=$(getent group 1000 | cut -d: -f1); \
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echo "GID 1000 exists as group: $EXISTING_GROUP"; \
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if [ "$EXISTING_GROUP" != "appuser" ]; then \
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groupadd appuser; \
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fi; \
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else \
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groupadd --gid 1000 appuser; \
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fi; \
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if getent passwd 1000 >/dev/null 2>&1; then \
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EXISTING_USER=$(getent passwd 1000 | cut -d: -f1); \
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echo "UID 1000 exists as user: $EXISTING_USER"; \
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if [ "$EXISTING_USER" != "appuser" ]; then \
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useradd --gid appuser --create-home --shell /bin/bash appuser; \
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fi; \
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else \
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useradd --uid 1000 --gid appuser --create-home --shell /bin/bash appuser; \
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fi; \
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mkdir -p /home/appuser; \
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chown appuser:appuser /home/appuser
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# Workdir
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WORKDIR /app/ComfyUI
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# Copy requirements with optional handling
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COPY requirements.txt* ./
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# Core Python deps (torch CUDA 12.9, ComfyUI reqs), media/NVML libs, and CuPy (CUDA 12.x wheel)
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RUN python -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu129 \
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&& python -m pip install triton \
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&& python -m pip install --prefer-binary cupy-cuda12x \
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&& if [ -f requirements.txt ]; then python -m pip install -r requirements.txt; fi \
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&& python -m pip install imageio-ffmpeg "av>=14.2" nvidia-ml-py
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# Copy the application
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COPY . .
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# Entrypoint
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COPY entrypoint.sh /entrypoint.sh
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RUN chmod +x /entrypoint.sh \
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&& chown appuser:appuser /app /home/appuser /entrypoint.sh
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EXPOSE 8188
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# Start as root so entrypoint can adjust ownership and drop privileges
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USER root
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ENTRYPOINT ["/entrypoint.sh"]
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CMD ["python", "main.py", "--listen", "0.0.0.0"]
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