Instructions to use taladjuzai/nunchaku with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taladjuzai/nunchaku with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("taladjuzai/nunchaku", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
0fce3c4
0
Parent(s):
Duplicate from nunchaku-ai/nunchaku
Browse filesCo-authored-by: Muyang Li <Lmxyy@users.noreply.huggingface.co>
This view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +289 -0
- README.md +39 -0
- nunchaku-0.1.2-cp311-cp311-linux_x86_64.whl +3 -0
- nunchaku-0.1.2-cp312-cp312-linux_x86_64.whl +3 -0
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- nunchaku-0.2.0+torch2.7-cp311-cp311-win_amd64.whl +3 -0
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- nunchaku-0.3.0+torch2.5-cp311-cp311-win_amd64.whl +3 -0
.gitattributes
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|
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|
| 280 |
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|
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|
| 282 |
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|
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|
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|
| 289 |
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|
README.md
ADDED
|
@@ -0,0 +1,39 @@
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|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
library_name: diffusers
|
| 5 |
+
license: apache-2.0
|
| 6 |
+
pipeline_tag: text-to-image
|
| 7 |
+
tags:
|
| 8 |
+
- image-generation
|
| 9 |
+
- SVDQuant
|
| 10 |
+
- Nunchaku
|
| 11 |
+
- Diffusion
|
| 12 |
+
- Quantization
|
| 13 |
+
- ICLR2025
|
| 14 |
+
|
| 15 |
+
---
|
| 16 |
+
<p align="center" style="border-radius: 10px">
|
| 17 |
+
<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku_v2.png" width="30%" alt="Nunchaku Logo"/>
|
| 18 |
+
</p>
|
| 19 |
+
|
| 20 |
+
<div align="center">
|
| 21 |
+
<a href=https://discord.gg/Wk6PnwX9Sm target="_blank"><img src=https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2FWk6PnwX9Sm%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&logo=discord&logoColor=white&label=Discord&color=green&suffix=%20total height=22px></a>
|
| 22 |
+
<a href=https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/wechat.jpg target="_blank"><img src=https://img.shields.io/badge/WeChat-07C160?logo=wechat&logoColor=white height=22px></a>
|
| 23 |
+
</div>
|
| 24 |
+
|
| 25 |
+
# Nunchaku Pre-built Wheels
|
| 26 |
+
|
| 27 |
+
This repository provides pre-built wheels for [nunchaku](https://github.com/nunchaku-tech/nunchaku) for both Linux and Windows platforms. For detailed information about available wheels, please visit our [GitHub Releases](https://github.com/nunchaku-tech/nunchaku/releases) page.
|
| 28 |
+
|
| 29 |
+
## Citation
|
| 30 |
+
|
| 31 |
+
```bibtex
|
| 32 |
+
@inproceedings{
|
| 33 |
+
li2024svdquant,
|
| 34 |
+
title={SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models},
|
| 35 |
+
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},
|
| 36 |
+
booktitle={The Thirteenth International Conference on Learning Representations},
|
| 37 |
+
year={2025}
|
| 38 |
+
}
|
| 39 |
+
```
|
nunchaku-0.1.2-cp311-cp311-linux_x86_64.whl
ADDED
|
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|
|
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|
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|
|
|
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|
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|
|
| 1 |
+
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| 2 |
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|
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|
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|
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nunchaku-0.1.3+torch2.5-cp311-cp311-linux_x86_64.whl
ADDED
|
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|
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| 1 |
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|
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ADDED
|
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|
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|
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ADDED
|
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|
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|
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|
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|
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ADDED
|
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|
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|
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|
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