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+ ---
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+ base_model: black-forest-labs/FLUX.1-schnell
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+ base_model_relation: quantized
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+ datasets:
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+ - mit-han-lab/svdquant-datasets
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+ language:
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+ - en
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+ library_name: diffusers
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+ license: apache-2.0
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+ pipeline_tag: text-to-image
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+ tags:
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+ - text-to-image
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+ - SVDQuant
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+ - FLUX.1-schnell
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+ - FLUX.1
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+ - Diffusion
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+ - Quantization
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+ - ICLR2025
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+
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+ ---
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+ **This repository has been deprecated and will be hidden in December 2025. Please use https://huggingface.co/nunchaku-tech/nunchaku-flux.1-schnell.**
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{
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+ li2024svdquant,
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+ title={SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models},
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+ author={Li*, Muyang and Lin*, Yujun and Zhang*, Zhekai and Cai, Tianle and Li, Xiuyu and Guo, Junxian and Xie, Enze and Meng, Chenlin and Zhu, Jun-Yan and Han, Song},
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+ booktitle={The Thirteenth International Conference on Learning Representations},
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+ year={2025}
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+ }
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+ ```