README.md

metadata

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

Citation

If you find this project helpful, please consider citing:

@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}
}