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AricGamma merged 1 commit into from
Feb 1, 2026
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Release the WAM-Flow models #15

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8 changes: 4 additions & 4 deletions README.md
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<div align='center'>
<a href='https://github.com/fudan-generative-vision/WAM-Flow'><img src='https://img.shields.io/github/stars/fudan-generative-vision/WAM-Flow?style=social'></a>
<a href='https://arxiv.org/abs/2512.06112'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
<!-- <a href='https://huggingface.co/fudan-generative-ai/WAM-Flow'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Model-yellow'></a> -->
<a href='https://huggingface.co/fudan-generative-ai/WAM-Flow'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Model-yellow'></a>
</div>
<br>



## 📰 News

- **`2026/02/01`**: 🎉🎉🎉 Release the pretrained models on [Huggingface](https://huggingface.co/fudan-generative-ai/WAM-Flow).
- **`2025/12/06`**: 🎉🎉🎉 Paper submitted on [Arxiv](https://arxiv.org/pdf/2512.06112).


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| Status | Milestone | ETA |
| :----: | :----------------------------------------------------------------------------------------------------: | :--------: |
| ✅ | **[Release the SFT and inference code](https://github.com/fudan-generative-vision/WAM-Flow)** | 2025.12.19 |
| 🚀 | **[Pretrained models on Huggingface](https://huggingface.co/fudan-generative-ai/WAM-Flow)** | TBD |
| ✅ | **[Pretrained models on Huggingface](https://huggingface.co/fudan-generative-ai/WAM-Flow)** | 2026.02.01 |
| 🚀 | **[Release the evaluation code](https://huggingface.co/fudan-generative-ai/WAM-Flow)** | TBD |
| 🚀 | **[Release the RL code](https://github.com/fudan-generative-vision/WAM-Flow)** | TBD |
| 🚀 | **[Release the pre-processed training data](#training)** | TBD |
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## 🤗 Acknowledgements
We gratefully acknowledge the contributors to the [Recogdrive](https://github.com/xiaomi-research/recogdrive), [Janus](https://github.com/deepseek-ai/Janus), [FUDOKI](https://github.com/fudoki-hku/FUDOKI) and [flow_matching](https://github.com/facebookresearch/flow_matching) repositories, whose commitment to open source has provided us with their excellent codebases and pretrained models.
We gratefully acknowledge the contributors to the [Recogdrive](https://github.com/xiaomi-research/recogdrive), [Janus](https://github.com/deepseek-ai/Janus), [FUDOKI](https://github.com/fudoki-hku/FUDOKI) and [flow_matching](https://github.com/facebookresearch/flow_matching) repositories, whose commitment to open source has provided us with their excellent codebases and pretrained models.