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diffusers/docker/diffusers-pytorch-cuda/Dockerfile
Sayak Paul efe46a5b17 ci: move to python 3.11. (#15030)
* move to python 3.11.

* update setup.py along with others.

* fix(ci): pin GitHub Actions to commit SHAs (#15030) (#15033)

fix(ci): pin actions in workflows flagged on #15030

Co-authored-by: hf-security-analysis[bot] <265538906+hf-security-analysis[bot]@users.noreply.github.com>

* up

* fix(ci): pin GitHub Actions to commit SHAs (#15030) (#15036)

fix(ci): pin actions in workflows flagged on #15030

Co-authored-by: hf-security-analysis[bot] <265538906+hf-security-analysis[bot]@users.noreply.github.com>

* up

---------

Co-authored-by: hf-security-analysis[bot] <265538906+hf-security-analysis[bot]@users.noreply.github.com>
2026-10-14 20:11:45 +05:30

59 lines
1.9 KiB
Docker

FROM nvidia/cuda:12.9.1-runtime-ubuntu24.04
LABEL maintainer="Hugging Face"
LABEL repository="diffusers"
ARG PYTHON_VERSION=3.11
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -y update \
&& apt-get install -y software-properties-common \
&& add-apt-repository ppa:deadsnakes/ppa && \
apt-get update
# The runtime base image only ships the CUDA libraries, but AOT-inductor compiles a C++
# wrapper against the CUDA headers. cuda-cudart-dev provides cuda.h/cuda_runtime_api.h, and
# cuda-nvcc pulls in the crt/ headers (crt/host_defines.h etc.) that cuda_runtime_api.h
# includes in turn -- both are needed or the AOT tests fail with a CppCompileError.
RUN apt install -y bash \
build-essential \
cuda-cudart-dev-12-9 \
cuda-nvcc-12-9 \
git \
git-lfs \
curl \
ca-certificates \
libglib2.0-0 \
libsndfile1-dev \
libgl1 \
python3 \
python3-pip \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
ENV PATH="/root/.local/bin:$PATH"
ENV VIRTUAL_ENV="/opt/venv"
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
RUN uv venv --python ${PYTHON_VERSION} --seed ${VIRTUAL_ENV}
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
# pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
# Pin torch, torchvision, and torchaudio to a matching set so the torchvision C++
# extension's ABI lines up with torch (otherwise torchvision::nms fails to register).
RUN uv pip install --no-cache-dir \
torch==2.10.0 \
torchvision==0.25.0 \
torchaudio==2.10.0 \
--index-url https://download.pytorch.org/whl/cu129
RUN uv pip install --no-cache-dir "git+https://github.com/huggingface/diffusers.git@main#egg=diffusers[test]"
# Extra dependencies
RUN uv pip install --no-cache-dir \
accelerate \
numpy==1.26.4 \
pytorch-lightning \
hf_xet
CMD ["/bin/bash"]