| --- |
| pipeline_tag: text-to-image |
| license: apache-2.0 |
| tags: |
| - Non-Autoregressive |
| - Masked-Generative-Transformer |
| language: |
| - en |
| --- |
| |
| # Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis |
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| [Paper](https://arxiv.org/abs/2410.08261) | [Model](https://huggingface.co/MeissonFlow/Meissonic) | [Code](https://github.com/viiika/Meissonic) | [Demo](https://huggingface.co/spaces/MeissonFlow/meissonic) |
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| ## 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. |
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| ## Usage |
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| Please refer to [github link](https://github.com/viiika/Meissonic). |
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| ## 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} |
| } |
| ``` |
