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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.
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
| Date | Stars |
|---|---|
| 2026-07-24 | 2011 |
| 2026-07-25 | 2011 |
| 2026-07-28 | 2011 |
| 2026-07-30 | 2011 |
| 2026-08-18 | 2012 |
| 2026-08-21 | 2012 |
| 2026-09-07 | 2011 |
| 2026-09-20 | 2011 |
Today
— stars today
This week
— stars this week
This month
-1 stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center">
<img src="https://user-images.githubusercontent.com/12726765/114528756-de55af80-9c7b-11eb-94d7-d3224ada1585.png" width="400"/>
<div> </div>
<div align="center">
<b><font size="5">OpenMMLab website</font></b>
<sup>
<a href="https://openmmlab.com">
<i><font size="4">HOT</font></i>
</a>
</sup>
<b><font size="5">OpenMMLab platform</font></b>
<sup>
<a href="https://platform.openmmlab.com">
<i><font size="4">TRY IT OUT</font></i>
</a>
</sup>
</div>
<div> </div>
</div>
[](https://pypi.org/project/mmgen)
[](https://mmgeneration.readthedocs.io/en/latest/)
[](https://github.com/open-mmlab/mmgeneration/actions)
[](https://codecov.io/gh/open-mmlab/mmgeneration)
[](https://github.com/open-mmlab/mmgeneration/blob/master/LICENSE)
[](https://github.com/open-mmlab/mmgeneration/issues)
[](https://github.com/open-mmlab/mmgeneration/issues)
[📘Documentation](https://mmgeneration.readthedocs.io/en/latest/) |
[🛠️Installation](https://mmgeneration.readthedocs.io/en/latest/get_started.html#installation) |
[👀Model Zoo](https://mmgeneration.readthedocs.io/en/latest/modelzoo_statistics.html) |
[🆕Update News](https://github.com/open-mmlab/mmgeneration/blob/master/docs/en/changelog.md) |
[🚀Ongoing Projects](https://github.com/open-mmlab/mmgeneration/projects) |
[🤔Reporting Issues](https://github.com/open-mmlab/mmgeneration/issues)
English | [简体中文](README_zh-CN.md)
## What's New
MMGeneration has been merged in [MMEditing](https://github.com/open-mmlab/mmediting/tree/1.x). And we have supported new generation tasks and models. We highlight the following new features:
- 🌟 Text2Image
- ✅ [GLIDE](https://github.com/open-mmlab/mmediting/tree/1.x/projects/glide/configs/README.md)
- ✅ [Disco-Diffusion](https://github.com/open-mmlab/mmediting/tree/1.x/configs/disco_diffusion/README.md)
- ✅ [Stable-Diffusion](https://github.com/open-mmlab/mmediting/tree/1.x/configs/stable_diffusion/README.md)
- 🌟 3D-aware Generation
- ✅ [EG3D](https://github.com/open-mmlab/mmediting/tree/1.x/configs/eg3d/README.md)
## Introduction
MMGeneration is a powerful toolkit for generative models, especially for GANs now. It is based on PyTorch and [MMCV](https://github.com/open-mmlab/mmcv). The master branch works with **PyTorch 1.5+**.
<div align="center">
<img src="https://user-images.githubusercontent.com/12726765/114534478-9a65a900-9c81-11eb-8087-de8b6816eed8.png" width="800"/>
</div>
## Major Features
- **High-quality Training Performance:** We currently support training on Unconditional GANs, Internal GANs, and Image Translation Models. Support for conditional models will come soon.
- **Powerful Application Toolkit:** A plentiful toolkit containing multiple applications in GANs is provided to users. GAN interpolation, GAN projection, and GAN manipulations are integrated into our framework. It's time to play with your GANs! ([Tutorial for applications](docs/en/tutorials/applications.md))
- **Efficient Distributed Training for Generative Models:** For the highly dynamic training in generative models, we adopt a new way to train dynamic models with `MMDDP`. ([Tutorial for DDP](docs/en/tutorials/ddp_train_gans.md))
- **New Modular Design for Flexible Combination:** A new design for complex loss modules is proposed for customizing the links between modules, which can achieve flexible combination amongExcerpt of 11,286 characters
Read on GitHub
Yifei Yang
248
172
Rui Xu
107
Zhengwentai SUN · China
6
4
ys-li
3
3
Yosuke Shinya · Japan
3
3
YANHONG ZENG · Ant Group · China
2
Tommy in Tongji · Tongji University · China
2
2
2
1
1
1
Range King · Zhejiang University
1
vansin · United States
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:eae7363efb0958cf, topic:diffusion-models, topic:gan, readme:stable diffusion
matched fp:eae7363efb0958cf, topic:pytorch, readme:distributed training