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Every vibevoice requirements file pulled diffusers straight from git+https://github.com/huggingface/diffusers. That branch now reports itself as 0.40.0.dev0 and requires huggingface-hub>=1.23.0,<2.0, while transformers>=4.51.3,<5.0.0 (which upstream VibeVoice mandates) still caps huggingface-hub at <1.0. Because a git URL offers the resolver exactly one candidate version, uv has nothing to backtrack to and the install fails outright: Because only diffusers==0.40.0.dev0 is available and diffusers==0.40.0.dev0 depends on huggingface-hub>=1.23.0,<2.0 [...] we can conclude that your requirements are unsatisfiable. This broke the vibevoice build on every variant - cpu (amd64/arm64), cuda 12/13, l4t 12/13, intel and rocm, plus the darwin metal job - and has been failing the weekly full-matrix rebuild for three weeks. It is not caught by master pushes because backend builds are path-filtered there, so it only surfaces on the Sunday cron and on release tags. Use the PyPI package instead. That is what upstream VibeVoice declares in its own pyproject.toml, and what every other LocalAI backend already does - vibevoice was the only one tracking the git branch. With a real release series available the resolver settles on diffusers 0.39.0 with huggingface-hub 0.36.2 and transformers 4.57.6, and it can keep backtracking on its own if upstream shifts again. Verified with uv pip compile against cpu, cublas12, cublas13, hipblas, intel, mps and l4t13: all resolve to that same coherent set. l4t12 only resolves on aarch64, since its Jetson index ships no x86_64 torch wheel. Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Bash] [uv] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
24 lines
299 B
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24 lines
299 B
Plaintext
--extra-index-url https://download.pytorch.org/whl/xpu
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torch
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torchvision
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optimum[openvino]
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setuptools
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diffusers
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opencv-python
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transformers>=4.51.3,<5.0.0
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accelerate
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compel
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peft
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sentencepiece
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optimum-quanto
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ftfy
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llvmlite>=0.40.0
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numba>=0.57.0
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tqdm
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numpy
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scipy
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librosa
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ml-collections
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absl-py
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gradio
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av |