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---
base_model:
- Efficient-Large-Model/Sana_1600M_1024px_BF16
- VIPL-GENUN/Jodi
tags:
- Diffusion
- Text-to-Image
- Controllable-Generation
- Image-Perception
---
# Jodi
We introduce Jodi, a diffusion framework that unifies visual generation and understanding by jointly modeling the image domain and multiple label domains.
- **arXiv**: <https://arxiv.org/abs/2505.19084>
- **Project page**: <https://VIPL-GENUN.github.io/Project-Jodi>
- **GitHub**: <https://github.com/VIPL-GENUN/Jodi>
- **Joint-1.6M Dataset**: <https://huggingface.co/datasets/VIPL-GENUN/Joint-1.6M-1024px>
<br>
# Citation
If you find this project helpful, please consider citing:
```bibtex
@article{xu2025jodi,
title={Jodi: Unification of Visual Generation and Understanding via Joint Modeling},
author={Xu, Yifeng and He, Zhenliang and Kan, Meina and Shan, Shiguang and Chen, Xilin},
journal={arXiv preprint arXiv:2505.19084},
year={2025}
}
``` |