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--- |
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license: apache-2.0 |
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language: |
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- multilingual |
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base_model: |
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- black-forest-labs/FLUX.1-dev |
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- OpenGVLab/InternVL2_5-1B |
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- OpenGVLab/InternVL2_5-4B |
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- openbmb/MiniCPM-o-2_6 |
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- Qwen/Qwen2.5-7B-Instruct |
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- Qwen/Qwen2.5-3B-Instruct |
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tags: |
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- flux.1 |
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- minicpm-o |
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- qwenvl |
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- internvl |
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- text-to-image |
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- multi-image-to-image |
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- video-to-image |
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- text_image-to-image |
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- audio-to-image |
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- speech-to-image |
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pipeline_tag: text-to-image |
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--- |
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<div align="center"> |
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<a href="https://export.arxiv.org/abs/2503.06134">📜 X2I Paper </a> |
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<a href="https://github.com/OPPO-Mente-Lab/X2I">🌐 Github </a> |
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</div> |
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> **X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation** |
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<div align="center"> |
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<img src="versatile.png"> |
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</div> |
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## Citation |
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🌟 If you find our work helpful, please consider citing our paper and leaving valuable stars |
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``` |
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@misc{ma2025x2i, |
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title={X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation}, |
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author={Jian Ma and Qirong Peng and Xu Guo and Chen Chen and Haonan Lu and Zhenyu Yang}, |
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year={2025}, |
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eprint={2503.06134}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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``` |
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## License |
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This model is released under the [Apache 2.0 License](LICENSE). |
