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Author: qqingzheng

README.md

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 * **[2025/10/19]**: We release **UniWorld-V2**, which employs [DiffusionNFT](https://github.com/NVlabs/DiffusionNFT) and a training-free reward model derived from pretrained MLLMs to fine-tune diffusion models for image editing. [UniWorld-Qwen-Image-Edit-2509](https://huggingface.co/collections/chestnutlzj/edit-r1-68dc3ecce74f5d37314d59f4) and [UniWorld-FLUX.1-Kontext-Dev](https://huggingface.co/collections/chestnutlzj/edit-r1-68dc3ecce74f5d37314d59f4) are open-sourced.
 
-* **[2025.06.03]** 🤗 We release UniWorld-V1, a unified framework for understanding, generation, and editing. All [data](https://huggingface.co/datasets/LanguageBind/UniWorld-V1), [models](https://huggingface.co/LanguageBind/UniWorld-V1), [training code](https://github.com/PKU-YuanGroup/UniWorld-V1?tab=readme-ov-file#%EF%B8%8F-training), and [evaluation code](https://github.com/PKU-YuanGroup/UniWorld-V1?tab=readme-ov-file#%EF%B8%8F-evaluation) are open-sourced. Checking our [report](https://arxiv.org/abs/2506.03147) for more details. Welcome to **watch** 👀 this repository for the latest updates.
+* **[2025.06.03]** 🤗 We release **UniWorld-V1**, a unified framework for understanding, generation, and editing. All [data](https://huggingface.co/datasets/LanguageBind/UniWorld-V1), [models](https://huggingface.co/LanguageBind/UniWorld-V1), [training code](https://github.com/PKU-YuanGroup/UniWorld-V1?tab=readme-ov-file#%EF%B8%8F-training), and [evaluation code](https://github.com/PKU-YuanGroup/UniWorld-V1?tab=readme-ov-file#%EF%B8%8F-evaluation) are open-sourced. Checking our [report](https://arxiv.org/abs/2506.03147) for more details. Welcome to **watch** 👀 this repository for the latest updates.
 
 <p align="center">
     <img src="https://github.com/user-attachments/assets/e187584a-f096-44df-b26b-f85aae838a18" width="200"/>