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efe46a5b17
* 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>
65 lines
2.6 KiB
Docker
65 lines
2.6 KiB
Docker
# Prebuilt image for `diffusers-cli run --remote`, so a sandbox starts straight into the run
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# instead of installing the dependency set on every cold boot.
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#
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# The base is the same image the CLI used to boot into, so the torch + CUDA layer is unchanged:
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# cuda12.8 is the highest cuda12.x tag below the HF Jobs host driver's CUDA 12.9 max.
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#
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# The Python deps below mirror `_DEFAULT_REMOTE_DEPS` in `src/diffusers/commands/run.py` —
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# keep the two lists in sync.
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FROM pytorch/pytorch:2.10.0-cuda12.8-cudnn9-runtime
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LABEL maintainer="Hugging Face"
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LABEL repository="diffusers"
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ENV DEBIAN_FRONTEND=noninteractive
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ENV PYTHONDONTWRITEBYTECODE=1
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# Weight loading dominates what is left of the startup cost. Xet-accelerated downloads come from
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# the `huggingface_hub[hf_xet]` install below (on by default once `hf_xet` is present); parallel
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# shard loading is opt-in, and the sandbox env at creation time can still override it.
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ENV HF_ENABLE_PARALLEL_LOADING=1
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# libgl1/libglib2.0-0 back PIL + the cv2 video fallback; libsndfile1 backs torchaudio decoding.
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RUN apt-get -y update && apt-get install -y --no-install-recommends \
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bash \
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ca-certificates \
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curl \
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git \
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git-lfs \
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libgl1 \
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libglib2.0-0 \
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libsndfile1 \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh
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ENV PATH="/root/.local/bin:$PATH"
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# torch, torchvision, and torchaudio come from the base image as a matching set — never reinstall
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# them here, an ABI mismatch breaks the torchvision/torchaudio C++ extensions. Fail the build
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# instead if that assumption ever stops holding.
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RUN python -c "import torch, torchvision, torchaudio"
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# `uv pip install --system` targets the base image's Python — Ubuntu's system interpreter, which
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# is where torch already lives and where the CLI installs `--dependencies` extras at runtime.
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# --break-system-packages bypasses the PEP 668 marker that interpreter carries; harmless in a
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# single-purpose image, and it matches what the CLI does inside the sandbox.
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#
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# `diffusers` comes from PyPI so the image ships a released version. A run that needs `main` (or any
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# other build) can install over it with `--dependencies` or point `--image` at a custom image.
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RUN uv pip install --system --break-system-packages --no-cache-dir \
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"huggingface_hub[hf_xet]>=1.32" \
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"diffusers>=0.41.0" \
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accelerate \
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transformers \
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"tokenizers>=0.14.0" \
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safetensors \
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sentencepiece \
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ftfy \
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peft \
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imageio \
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imageio-ffmpeg
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# Smoke-test the console script the sandbox invokes, so a broken install fails the build.
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RUN diffusers-cli env
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RUN diffusers-cli run --help
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CMD ["/bin/bash"]
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