File size: 2,036 Bytes
03e9e07 3bf8431 b2b86a7 3bf8431 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | ---
base_model:
- XCLiu/instaflow_0_9B_from_sd_1_5
---
<div align="center">
<h1>Official PyTorch models of "Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation" <a href="https://arxiv.org/abs/2412.16906">(AAAI 2025)</a></h1>
</div>
<div align="center">
<a href="https://quandao10.github.io/" target="_blank">Quan Dao</a><sup>*12†</sup>   <b>·</b>  
<a href="https://hao-pt.github.io/" target="_blank">Hao Phung</a><sup>*13†</sup>   <b>·</b>  
<a href="https://trung-dt.com/" target="_blank">Trung Dao</a><sup>1</sup>   <b>·</b>  
<a href="https://people.cs.rutgers.edu/~dnm/" target="_blank">Dimitris N. Metaxas</a><sup>2</sup>   <b>·</b>  
<a href="https://sites.google.com/site/anhttranusc/" target="_blank">Anh Tran</a><sup>1</sup>
<br> <br>
<sup>1</sup>VinAI Research  
<sup>2</sup>Rutgers University  
<sup>3</sup>Cornell University
<br> <br>
<a href="https://arxiv.org/abs/2412.16906">[Paper]</a>   
<a href="https://github.com/hao-pt/SCFlow.git">[Code]</a>
<br> <br>
<emp><sup>*</sup>Equal contribution</emp>  
<emp><sup>†</sup>Work done while at VinAI Research</emp>
</div>
## Model details
We present a distilled Text-to-Image (T2I) model that supports both few-step and single-step generation. Distilled from XCLiu/instaflow_0_9B_from_sd_1_5, our model achieves an FID of 11.91 for 1-NFE generation on the COCO2014 benchmark.
**Please CITE** our paper and give us a :star: whenever this repository is used to help produce published results or incorporated into other software.
```bibtex
@inproceedings{dao2025scflow,
title = {Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation},
author = {Quan Dao and Hao Phung and Trung Dao and Dimitris Metaxas and Anh Tran},
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
year = {2025}
}
``` |