README.md

CoDi:Subject-Consistent and Pose-Diverse Text-to-Image Generation

     

Model Architecture • How To Use • Citation • Acknowledgement • Visualization

Model Architecture

How To Use

# Clone this repository
$ git clone https://github.com/NJU-PCALab/CoDi

# Go into the repository
$ cd CoDi

### Install dependencies ###
$ conda env create --file environment.yml
$ conda activate codi
### Install dependencies ENDs ###

# Run infer code
$ python main.py

# Run benchmark generation code
$ python gen_benchmark.py

Citation

If our work assists your research, feel free to give us a star ⭐ or cite us using:

@article{gao2025codi,
  title={Subject-Consistent and Pose-Diverse Text-to-Image Generation},
  author={Gao, Zhanxin and Zhu, Beier and Yao, Liang and Yang, Jian and Tai, Ying},
  journal={arXiv preprint arXiv:2507.08396},
  year={2025}
}

Acknowledgement

We gratefully acknowledge the following repositories for providing useful components and functions that contributed to our work.

• ConsiStory
• 1Prompt1Story

Visualization

Qualitative Results

Long Story Image Generation