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- Quantization
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- ICLR2025
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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-canny-dev.**
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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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## Attribution Notice
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The FLUX.1 [dev] Model is licensed by Black Forest Labs Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs Inc. IN NO EVENT SHALL BLACK FOREST LABS INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.
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