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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
| Date | Stars |
|---|---|
| 2026-07-24 | 3915 |
| 2026-07-25 | 3915 |
| 2026-07-28 | 3915 |
| 2026-07-30 | 3915 |
| 2026-07-31 | 3920 |
| 2026-08-06 | 3920 |
Today
— stars today
This week
+5 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.13%/day
<div align="center" id="nunchaku_logo"> <img src="https://huggingface.co/datasets/nunchaku-ai/cdn/resolve/main/logo/v2/nunchaku-compact-transparent.png" alt="logo" width="220"></img> </div> <h3 align="center"> <a href="http://arxiv.org/abs/2411.05007"><b>Paper</b></a> | <a href="https://nunchaku.tech/docs/nunchaku/"><b>Docs</b></a> | <a href="https://hanlab.mit.edu/projects/svdquant"><b>Website</b></a> | <a href="https://hanlab.mit.edu/blog/svdquant"><b>Blog</b></a> | <a href="https://demo.nunchaku.tech/"><b>Demo</b></a> | <a href="https://huggingface.co/nunchaku-ai"><b>Hugging Face</b></a> | <a href="https://modelscope.cn/organization/nunchaku-tech"><b>ModelScope</b></a> | <a href="https://github.com/nunchaku-ai/ComfyUI-nunchaku"><b>ComfyUI</b></a> </h3> <div align="center"> <a href="https://trendshift.io/repositories/13942" target="_blank"><img src="https://trendshift.io/api/badge/repositories/13942" alt="nunchaku-ai/nunchaku | Trendshift" style="width: 120px; height: 26px;" width="120" height="26"/></a> <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> <a href=https://huggingface.co/datasets/nunchaku-ai/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> <a href=https://deepwiki.com/nunchaku-ai/nunchaku target="_blank"><img src=https://deepwiki.com/badge.svg height=22px></a> </div> **Nunchaku** is a high-performance inference engine optimized for 4-bit neural networks, as introduced in our paper [SVDQuant](http://arxiv.org/abs/2411.05007). For the underlying quantization library, check out [DeepCompressor](https://github.com/nunchaku-ai/deepcompressor). Join our user groups on [**Discord**](https://discord.gg/Wk6PnwX9Sm) and [**WeChat**](https://huggingface.co/datasets/nunchaku-ai/cdn/resolve/main/nunchaku/assets/wechat.jpg) to engage in discussions with the community! More details can be found [here](https://github.com/nunchaku-ai/nunchaku/issues/149). If you have any questions, run into issues, or are interested in contributing, don’t hesitate to reach out! ## News - **[2026-01-12]** 🚀 **v1.2.0 Released!** Enjoy a **20–30% Z-Image performance boost**, seamless **LoRA support with native ComfyUI nodes**, **INT4 support for 20-series GPUs**, and **compatibility with ComfyUI 0.7**! - **[2025-12-20]** 🔥 Release **4-bit [Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo)**! Download on [Hugging Face](https://huggingface.co/nunchaku-ai/nunchaku-z-image-turbo) or [ModelScope](https://modelscope.cn/models/nunchaku-tech/nunchaku-z-image-turbo), and try it with our [example script](examples/v1/z-image-turbo.py). - **[2025-09-25]** 🔥 Release **4-bit [4/8-step lightning Qwen-Image-Edit-2509](https://huggingface.co/lightx2v/Qwen-Image-Lightning)**! Download on [Hugging Face](https://huggingface.co/nunchaku-ai/nunchaku-qwen-image-edit-2509) or [ModelScope](https://modelscope.cn/models/nunchaku-tech/nunchaku-qwen-image-edit-2509), and try it with our [example script](examples/v1/qwen-image-edit-2509-lightning.py). - **[2025-09-24]** 🔥 Released **4-bit [Qwen-Image-Edit-2509](https://huggingface.co/Qwen/Qwen-Image-Edit-2509)**! Models are available on [Hugging Face](https://huggingface.co/nunchaku-ai/nunchaku-qwen-image-edit-2509). Try them out with our [example script](examples/v1/qwen-image-edit-2509.py). Lightning models will follow up! <details> <summary>More</summary> - **[2025-09-09]** 🔥 Released [**4-bit Qwen-Image-Edit**](https://huggingface.co/Qwen/Qwen-Image-Edit) together with the [4/8-step Lightning](https://huggingface.co/lightx2v/Qwen-Image-Lightning) variants! Models are available on [Hugging Face](https://huggingface.co/nunchak
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:27b681dd9591d656, topic:diffusion-models, topic:comfyui, topic:flux
matched fp:27b681dd9591d656, topic:quantization, readme:quantization, readme:int4