File size: 1,938 Bytes
5374ee1 235d9f3 07dcfae 5374ee1 938456d 5374ee1 6921a02 5374ee1 |
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 41 42 43 44 45 46 47 48 49 50 51 52 |
---
license: cc-by-nc-4.0
library_name: diffusers
tags:
- text-to-image
- stable-diffusion
- diffusion distillation
---
# SwiftBrush Model Card
[**SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation**](https://arxiv.org/abs/2405.14867),
Thuan Hoang Nguyen, Anh Tran
## Note
This model is for **research purpose** only. We have also been developing a superior version, **SwiftBrush v2**, and a brief introduction of its is available [here](https://swiftbrushv2.github.io/).
## Contact
Feel free to contact us if you have any questions about the paper!
Thuan Hoang Nguyen [[email protected]](mailto:[email protected])
For more information, please refer to the [code repository](https://github.com/VinAIResearch/SwiftBrush)
## License
SwiftBrush is released under [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en).
## Citation
If you find SwiftBrush useful or relevant to your research, please kindly cite our papers:
```bib
@InProceedings{nguyen2024swiftbrush,
title={SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation},
author={Thuan Hoang Nguyen and Anh Tran},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2024}
}
```
## Acknowledgments
We give thanks to Uy Dieu Tran for early discussions as well as providing many helpful comments and suggestions throughout the project. Special thanks to Trung Tuan Dao for valuable feedback and support. Last but not least, we thank Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su and Jun Zhu for the work of ProlificDreamer as well as Huggingface team for the diffusers framework.
|