1Prompt1Story
🔥ICLR 2025 (Spotlight) One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
Install / Use
/learn @byliutao/1Prompt1StoryREADME
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🔥ICLR 2025 (Spotlight) One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
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<div align="center">
<!-- <a href="http://59.110.93.62:7089/" style="display: inline-block;">
<img src="./resource/gradio.svg" alt="demo" style="height: 20px; vertical-align: middle;">
</a> -->
<a href="https://arxiv.org/abs/2501.13554" style="display: inline-block;">
<img src="https://img.shields.io/badge/arXiv%20paper-2406.06525-b31b1b.svg" alt="arXiv" style="height: 20px; vertical-align: middle;">
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<a href="https://byliutao.github.io/1Prompt1Story.github.io/" style="display: inline-block;">
<img src="https://img.shields.io/badge/Project_page-More_visualizations-green" alt="project page" style="height: 20px; vertical-align: middle;">
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<p align="center">
<a href="#key-features">Key Features</a> •
<a href="#how-to-use">How To Use</a> •
<a href="#license">License</a> •
<a href="#citation">Citation</a> •
<a href="#visualization">Visualization</a>
</p>
Key Features
- Consistent Image Generation Code: main.py
- Gradio Code: app.py
- Benchmark Generation Code: resource/gen_benchmark.py
- Consistory+ Benchmark: link
- 🚩Chinese Version Paper (new)
- 🚩Jittor Version (new)
How To Use
# Clone this repository
$ git clone https://github.com/byliutao/1Prompt1Story
# Go into the repository
$ cd 1Prompt1Story
### Install dependencies ###
$ conda create --name 1p1s python=3.10
$ conda activate 1p1s
# choose the right cuda version of your device
$ conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
$ pip install transformers==4.46.3 # or: conda install conda-forge::transformers
$ conda install -c conda-forge diffusers
$ pip install opencv-python scipy gradio==4.44.1 sympy==1.13.1
### Install dependencies ENDs ###
# Run infer code
$ python main.py
# Run gradio code
$ python app.py
# Run benchmark generation code
$ python -m resource.gen_benchmark --save_dir ./result/benchmark --benchmark_path ./resource/consistory+.yaml
License
This project is licensed under the MIT License - see the LICENSE file for details.
Citation
If our work assists your research, feel free to give us a star ⭐ or cite us using:
@inproceedings{
liu2025onepromptonestory,
title={One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt},
author={Tao Liu and Kai Wang and Senmao Li and Joost van de Weijer and Fhad Khan and Shiqi Yang and Yaxing Wang and Jian Yang and Mingming Cheng},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=cD1kl2QKv1}
}
