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| sdk: gradio | |
| sdk_version: 5.0.2 | |
| title: Meissonic Flow | |
| # 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. | |
| ## Prerequisites | |
| ```bash | |
| git clone https://github.com/huggingface/diffusers.git | |
| cd diffusers | |
| pip install -e . | |
| ``` | |
| ## Usage | |
| ```bash | |
| python inference.py | |
| ``` | |
| ## 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} | |
| } | |
| ``` |