82dfce256f
* bump requires-python * model patcher now implements everything it needs for comfyui * index * Support LTS and Vanilla ComfyUI * Fix version string when installed as package (not material) * style: make linter happy * update init.py * Update nunchaku index * Bump dependencies, include config and workflows when installed using pip/uv * Update installation instructions to include ComfyUI LTS * Update requirements for nunchaku>=1.0.1 * Fix torch210 key * Fix pep 508 spec * Improve tests (still more to go) * Fix comfyui_controlnet_aux flaws * Update tests (all should pass) * Organize the tests in this runner * Update contribution guide * Install uv * Dependencies now resolve with correct conflicts with uv's most stringent resolution * Mediapipe hasn't been built for 3.13 yet, so we can't use it here * Remove controlnet-aux dep * make linter happy * make the linter happy * optimize the loading * update installation * update * update contribution guide * update qwenimage * need to figure out why the toml parsing doesn't owk * update * update * update * style: make linter happy * update * add pulid requirement * update docs * update * update * update * update * update * organize the pyproject.toml * update * update * update * passing all tests * update * update * update * update * update * remove a useless class * update * update * fix a typo --------- Co-authored-by: doctorpangloss <@hiddenswitch.com> Co-authored-by: doctorpangloss <2229300+doctorpangloss@users.noreply.github.com>
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42 lines
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ComfyUI-nunchaku Documentation
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==============================
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This is the documentation for https://github.com/nunchaku-tech/ComfyUI-nunchaku.
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**Nunchaku** is a high-performance inference engine optimized for low-bit diffusion models and LLMs,
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as introduced in our paper `SVDQuant <paper_svdquant_>`_.
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Check out `DeepCompressor <github_deepcompressor_>`_ for the quantization library.
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.. toctree::
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:maxdepth: 1
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:caption: Getting Started
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get_started/installation.rst
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get_started/usage.rst
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.. toctree::
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:maxdepth: 1
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:caption: References
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workflows/toc.rst
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nodes/toc.rst
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api/toc.rst
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.. toctree::
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:maxdepth: 1
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:caption: Useful Links
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:titlesonly:
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Nunchaku Backend <https://github.com/nunchaku-tech/nunchaku>
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Custom Model Quantization: DeepCompressor <https://github.com/nunchaku-tech/deepcompressor>
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Frequently Asked Questions (FAQ) <https://nunchaku.tech/docs/nunchaku/faq/faq.html>
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.. toctree::
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:maxdepth: 1
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:caption: Other Resources
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developer/contribution_guide.rst
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developer/build_docs.rst
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developer/docstring.rst
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developer/build_comfyui_desktop.rst
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