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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.
[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).
| Date | Stars |
|---|---|
| 2026-07-31 | 1806 |
| 2026-08-06 | 1813 |
| 2026-08-14 | 1820 |
| 2026-08-18 | 1821 |
| 2026-08-22 | 1822 |
| 2026-08-24 | 1823 |
| 2026-08-26 | 1824 |
| 2026-08-27 | 1824 |
| 2026-08-28 | 1827 |
| 2026-08-29 | 1829 |
| 2026-08-31 | 1830 |
| 2026-09-01 | 1829 |
| 2026-09-02 | 1831 |
| 2026-09-03 | 1830 |
| 2026-09-04 | 1831 |
| 2026-09-07 | 1832 |
| 2026-09-08 | 1834 |
| 2026-09-09 | 1835 |
| 2026-09-10 | 1836 |
| 2026-09-11 | 1837 |
| 2026-09-12 | 1836 |
| 2026-09-13 | 1838 |
| 2026-09-15 | 1839 |
| 2026-09-17 | 1842 |
| 2026-09-18 | 1843 |
| 2026-09-19 | 1844 |
| 2026-09-21 | 1846 |
| 2026-09-22 | 1847 |
| 2026-09-24 | 1850 |
| 2026-09-25 | 1852 |
| 2026-09-26 | 1852 |
| 2026-09-27 | 1852 |
| 2026-09-28 | 1853 |
| 2026-09-29 | 1854 |
| 2026-09-30 | 1858 |
| 2026-10-02 | 1859 |
| 2026-10-03 | 1858 |
| 2026-10-04 | 1862 |
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| 2026-10-11 | 1868 |
| 2026-10-12 | 1869 |
| 2026-10-14 | 1870 |
| 2026-10-15 | 1872 |
| 2026-10-16 | 1873 |
| 2026-10-17 | 1875 |
| 2026-10-19 | 1877 |
| 2026-10-20 | 1878 |
| 2026-10-22 | 1879 |
| 2026-10-23 | 1880 |
| 2026-10-24 | 1880 |
| 2026-10-25 | 1881 |
| 2026-10-26 | 1883 |
| 2026-10-27 | 1885 |
| 2026-10-29 | 1886 |
| 2026-10-30 | 1887 |
| 2026-10-31 | 1888 |
| 2026-11-01 | 1891 |
| 2026-11-02 | 1898 |
| 2026-11-03 | 1903 |
| 2026-11-04 | 1903 |
Today
— stars today
This week
+18 stars this week
This month
+40 stars this month
Momentum
0.0
growth rate 0.95%/day
# [ICLR 25]🐈 CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
<div style="display: flex; justify-content: center; align-items: center;">
<a href="http://arxiv.org/abs/2407.15886" style="margin: 0 2px;">
<img src='https://img.shields.io/badge/arXiv-2407.15886-red?style=flat&logo=arXiv&logoColor=red' alt='arxiv'>
</a>
<a href='https://huggingface.co/zhengchong/CatVTON' style="margin: 0 2px;">
<img src='https://img.shields.io/badge/Hugging Face-ckpts-orange?style=flat&logo=HuggingFace&logoColor=orange' alt='huggingface'>
</a>
<a href="https://github.com/Zheng-Chong/CatVTON" style="margin: 0 2px;">
<img src='https://img.shields.io/badge/GitHub-Repo-blue?style=flat&logo=GitHub' alt='GitHub'>
</a>
<a href="https://huggingface.co/spaces/zhengchong/CatVTON" style="margin: 0 2px;">
<img src='https://img.shields.io/badge/Demo-Gradio-gold?style=flat&logo=Gradio&logoColor=red' alt='Demo'>
</a>
<a href="https://huggingface.co/spaces/zhengchong/CatVTON" style="margin: 0 2px;">
<img src='https://img.shields.io/badge/Space-ZeroGPU-orange?style=flat&logo=Gradio&logoColor=red' alt='Demo'>
</a>
<a href='https://zheng-chong.github.io/CatVTON/' style="margin: 0 2px;">
<img src='https://img.shields.io/badge/Webpage-Project-silver?style=flat&logo=&logoColor=orange' alt='webpage'>
</a>
<a href="https://github.com/Zheng-Chong/CatVTON/LICENCE" style="margin: 0 2px;">
<img src='https://img.shields.io/badge/License-CC BY--NC--SA--4.0-lightgreen?style=flat&logo=Lisence' alt='License'>
</a>
</div>
**CatVTON** is a simple and efficient virtual try-on diffusion model with ***1) Lightweight Network (899.06M parameters totally)***, ***2) Parameter-Efficient Training (49.57M parameters trainable)*** and ***3) Simplified Inference (< 8G VRAM for 1024X768 resolution)***.
<div align="center">
<img src="resource/img/teaser.jpg" width="100%" height="100%"/>
</div>
## Updates
- **`2025/02/24`**: 🎉 We are excited to announce [**CatV2TON**](https://github.com/Zheng-Chong/CatV2TON), our new DiT-based model that supports both **image and video try-on**! Check it out!
- **`2025/02/20`**: Our [**Paper on ArXiv**](http://arxiv.org/abs/2407.15886) has been updated to v2, which includes more details.
- **`2025/01/24`**: 🥳 CatVTON has been accepted to **ICLR 2025**!
- **`2024/12/20`**: 😄 Code for gradio app of **CatVTON-FLUX** has been released! It is not a stable version, but it is a good start!
- **`2024/12/19`**: [**CatVTON-FLUX**](https://huggingface.co/spaces/zhengchong/CatVTON) has been released! It is a extremely lightweight LoRA (only 37.4M checkpints) for [FLUX.1-Fill-dev](https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev), the lora weights are available in **[huggingface repo](https://huggingface.co/zhengchong/CatVTON/tree/main/flux-lora)**, code will be released soon!
- **`2024/11/26`**: Our **unified vision-based model for image and video try-on** will be released soon, bringing a brand-new virtual try-on experience! While our demo page will be temporarily taken offline, [**the demo on HuggingFace Space**](https://huggingface.co/spaces/zhengchong/CatVTON) will remain available for use !
- **`2024/10/17`**:[**Mask-free version**](https://huggingface.co/zhengchong/CatVTON-MaskFree)🤗 of CatVTON is release !
- **`2024/10/13`**: We have built a repo [**Awesome-Try-On-Models**](https://github.com/Zheng-Chong/Awesome-Try-On-Models) that focuses on image, video, and 3D-based try-on models published after 2023, aiming to provide insights into the latest technological trends. If you're interested, feel free to contribute or give it a 🌟 star!
- **`2024/08/13`**: We localize DensePose & SCHP to avoid certain environment issues.
- **`2024/08/10`**: Our 🤗 [**HuggingFace Space**](https://huggingface.co/spaces/zhengchong/CatVTON) is available now! Thanks for the grant from [**ZeroGPU**](https://huggingface.co/zero-gpu-explorers)！
- **`2024/08/09`**: [**Evaluation code**](Excerpt of 10,768 characters
Read on GitHub
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Ikko Eltociear Ashimine · Japan
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:49c474b69c95e180, topic:diffusion-models, desc:diffusion model