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docs/source/usage/basic_usage.rst

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@@ -21,14 +21,12 @@ Nunchaku provides the same API as `Diffusers <diffusers_repo_>`_, so you can use
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The key difference when using Nunchaku is replacing the standard ``FluxTransformer2dModel``
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with :class:`~nunchaku.models.transformers.NunchakuFluxTransformer2dModel`.
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The :meth:`~nunchaku.models.transformers.NunchakuFluxTransformer2dModel.from_pretrained`
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with ``NunchakuFluxTransformer2dModel``. The ``NunchakuFluxTransformer2dModel.from_pretrained``
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method loads quantized models and accepts either Hugging Face remote file paths or local file paths.
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.. note::
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The :func:`~nunchaku.utils.get_precision`
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function automatically detects whether your GPU supports INT4 or FP4 quantization.
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The ``get_precision()`` function automatically detects whether your GPU supports INT4 or FP4 quantization.
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Use FP4 models for Blackwell GPUs (RTX 50-series) and INT4 models for other architectures.
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.. note::

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