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README.md
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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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**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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## Citation
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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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```
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