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Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
🚀 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.
Key Features:
- 🖼️ High-resolution image generation (up to 1024x1024)
- 💻 Designed to run on consumer GPUs
- 🎨 Versatile applications: text-to-image, image-to-image
📚 Citation
If you find this work helpful, please consider citing:
@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}
}
🙏 Acknowledgements
We thank the community and contributors for their invaluable support in developing Meissonic. We thank [email protected] for making Meissonic Demo . We thank @NewGenAI and @飛鷹しずか@自称文系プログラマの勉強 for making YouTube toturials. We thank @pprp for making fp8 and int4 quantization. We thank @camenduru for making jupyter toturial
