| | --- |
| | license: apache-2.0 |
| | --- |
| | |
| | # Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis |
| |
|
| | [Paper](https://arxiv.org/abs/2410.08261) | [Model](https://huggingface.co/MeissonFlow/Meissonic) | [Code](https://github.com/viiika/Meissonic) |
| |
|
| |
|
| |  |
| |
|
| |
|
| | ## Introduction |
| | Meissonic is a non-autoregressive mask image modeling text-to-image synthesis model that can generate high-resolution images. It is designed to run on consumer graphics cards. |
| |
|
| | ## Usage |
| |
|
| | Under Construction. Please check back later. |
| |
|
| | ## Citation |
| | If you find this work helpful, please consider citing: |
| | ```bibtex |
| | @article{bai2024meissonic, |
| | title={Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis}, |
| | author={Bai, Jinbin and Ye, Tian and Chow, Wei and Song, Enxin and Chen, Qing-Guo and Li, Xiangtai and Dong, Zhen and Zhu, Lei and Yan, Shuicheng}, |
| | journal={arXiv preprint arXiv:2410.08261}, |
| | year={2024} |
| | } |
| | ``` |
| |
|
