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nunchaku
mit-han-lab/nunchaku
nunchaku is a text-to-image model from mit-han-lab. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
This repository has been migrated to https://huggingface.co/nunchaku-tech/nunchaku and will be hidden in December 2025.
Access
Public
Updated Jul 21, 2025
Repo size
13.2 GB
Likes
111
Public
Repo makeup
Click a slice to open those files.
.whl13.2 GB · 100%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- apache-2.0
- Access
- Public
- Created
- Feb 24, 2025
- Updated
- Jul 21, 2025
- SHA
- 7b947cd8
Model card
From the Hugging Face model README
This repository has been migrated to https://huggingface.co/nunchaku-tech/nunchaku and will be hidden in December 2025.
<p align="center" style="border-radius: 10px"> <img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku.svg" width="30%" alt="Nunchaku Logo"/> </p>Nunchaku Pre-built Wheels
This repository provides pre-built wheels for nunchaku for both Linux and Windows platforms. For detailed information about available wheels, please visit our GitHub Releases page.
Citation
@inproceedings{
li2024svdquant,
title={SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models},
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},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025}
}
- Task
- Text-to-Image
- Library
- diffusers
- License
- apache-2.0
- Languages
- en
- Created
- Feb 24, 2025
- Updated
- Jul 21, 2025