CoDi
CoDi:Subject-Consistent and Pose-Diverse Text-to-Image Generation
Install / Use
/learn @NJU-PCALab/CoDiREADME
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.
Visualization
Qualitative Results
<figure style="display: inline-block; margin: 20px; text-align: center; max-width: 700px;"> <img src="./teaser/qualtative_results.jpeg" alt="other_model" style="width: 100%;"> </figure>Long Story Image Generation
<div align="center"> <figure style="display: inline-block; margin: 20px; text-align: center; max-width: 700px;"> <img src="./teaser/long_story.jpeg" alt="long_story" style="width: 100%;"> </figure>Related Skills
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