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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.
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
| Date | Stars |
|---|---|
| 2026-07-31 | 9506 |
| 2026-08-01 | 9505 |
| 2026-08-06 | 9506 |
| 2026-08-07 | 9505 |
| 2026-08-09 | 9506 |
| 2026-08-11 | 9508 |
| 2026-08-12 | 9509 |
| 2026-08-13 | 9508 |
| 2026-08-14 | 9507 |
| 2026-08-15 | 9506 |
| 2026-08-18 | 9505 |
| 2026-08-19 | 9504 |
| 2026-08-20 | 9503 |
| 2026-08-21 | 9504 |
| 2026-08-24 | 9505 |
| 2026-08-25 | 9507 |
| 2026-08-27 | 9509 |
| 2026-08-29 | 9508 |
| 2026-08-30 | 9508 |
| 2026-09-01 | 9508 |
| 2026-09-02 | 9508 |
| 2026-09-04 | 9507 |
| 2026-09-06 | 9507 |
| 2026-09-07 | 9509 |
| 2026-09-08 | 9508 |
| 2026-09-10 | 9509 |
| 2026-09-14 | 9508 |
| 2026-09-17 | 9507 |
| 2026-09-18 | 9508 |
| 2026-09-19 | 9509 |
| 2026-09-20 | 9509 |
Today
— stars today
This week
— stars this week
This month
+5 stars this month
Momentum
0.0
growth rate 0.00%/day
<p align="center">
<br>
<img src="https://modelscope.oss-cn-beijing.aliyuncs.com/modelscope.gif" width="400"/>
<br>
<h1>FaceChain</h1>
<p>
<p align="center">
<a href="https://trendshift.io/repositories/1185" target="_blank"><img src="https://trendshift.io/api/badge/repositories/1185" alt="modelscope%2Ffacechain | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
# News
- Our work [FaceChain-MMID](https://www.sciencedirect.com/science/article/abs/pii/S0031320325005187) got accepted to Pattern Recognition ! (May 30th, 2025 UTC)
- More Technology Details of FaceChain-FACT train-free portrait generation can be seen in [Paper](https://arxiv.org/abs/2410.12312). (October 17th, 2024 UTC)
- Our work [TopoFR](https://arxiv.org/abs/2410.10587) got accepted to NeurIPS 2024 ! (September 26th, 2024 UTC)
- We provide training scripts for new styles, offering an automatic training for new style LoRas as well as the corresponding style prompts, along with the one click call in Infinite Style Portrait generation tab! (July 3rd, 2024 UTC)
- 🚀🚀🚀 We are launching [FACT] into the main branch, offering a 10-second impressive speed and seamless integration with standard ready-to-use LoRas and ControlNets, along with improved instruction-following capabilities ! The original train-based FaceChain is moved to (https://github.com/modelscope/facechain/tree/v3.0.0 ). (May 28th, 2024 UTC)
- Our work [FaceChain-ImagineID](https://arxiv.org/abs/2403.01901) and [FaceChain-SuDe](https://arxiv.org/abs/2403.06775) got accepted to CVPR 2024 ! (February 27th, 2024 UTC)
# Introduction
如果您熟悉中文，可以阅读[中文版本的README](./README_ZH.md)。
FaceChain is a novel framework for generating identity-preserved human portraits. In the newest FaceChain FACT (Face Adapter with deCoupled Training) version, with only 1 photo and 10 seconds, you can generate personal portraits in different settings (multiple styles now supported!). FaceChain has both high controllability and authenticity in portrait generation, including text-to-image and inpainting based pipelines, and is seamlessly compatible with ControlNet and LoRAs. You may generate portraits via FaceChain's Python scripts, or via the familiar Gradio interface, or via sd webui.
FaceChain is powered by [ModelScope](https://github.com/modelscope/modelscope).
<p align="center">
ModelScope Studio <a href="https://modelscope.cn/studios/CVstudio/FaceChain-FACT">🤖<a></a>  ｜API <a href="https://help.aliyun.com/zh/dashscope/developer-reference/facechain-quick-start">🔥<a></a>  | SD WebUI | HuggingFace Space <a href="https://huggingface.co/spaces/modelscope/FaceChain-FACT">🤗</a> 
</p>
<br>
<a href='https://facechain-fact.github.io/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> [](https://youtu.be/DHqEl0qwi-M?si=y6VpInXdhIX0HpbI)
# News
- Our work [FaceChain-MMID](https://www.sciencedirect.com/science/article/abs/pii/S0031320325005187) got accepted to Pattern Recognition ! (May 30th, 2025 UTC)
- More Technology Details of FaceChain-FACT train-free portrait generation can be seen in [Paper](https://arxiv.org/abs/2410.12312). (October 17th, 2024 UTC)
- Our work [TopoFR](https://arxiv.org/abs/2410.10587) got accepted to NeurIPS 2024 ! (September 26th, 2024 UTC)
- We provide training scripts for new styles, offering an automatic training for new style LoRas as well as the corresponding style prompts, along with the one click call in Infinite Style Portrait generation tab! (July 3rd, 2024 UTC)
- 🚀🚀🚀 We are launching [FACT], offering a 10-second impressive speed and seamless integration with standard ready-to-use LoRas and ControlNets, along with improved instruction-following capabilities ! (May 28th, 2024 UTC)
- Our work [FaceChain-ImagineID](https://arxiv.org/abs/2403.01901) and [FaceChain-SuDe](https://arxiv.org/abs/2403.06775) got accepted to CVPR 202Excerpt of 21,096 characters
Read on GitHub
Xingjun.Wang · Tongyi Lab, Alibaba Group · China
61
44
38
Yingda Chen · Alibaba, Microsoft · United States
35
tastelikefeet
34
24
15
15
10
9
wenmeng zhou · Alibaba Institute for Intelligent Computing · China
8
Zhekai Chen · Zhejiang University
7
熬糖 · Zhejiang University · China
6
6
4
weida wang
4
4
4
Peiran Hou
4
4
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4fd36ecc3482645e, llm:Repository description: 'FaceChain is a deep-learning toolchain for generating your Digital-Twin.' (no topics provided)
matched fp:4fd36ecc3482645e, llm:Repository description: 'FaceChain is a deep-learning toolchain for generating your Digital-Twin.' (no topics provided)
matched fp:4fd36ecc3482645e, llm:Repository description: 'FaceChain is a deep-learning toolchain for generating your Digital-Twin.' (no topics provided)