MeissonFlow/Meissonic

Model

107

stars

27

commits

3

repos using this model

2

linked in READMEs

Dec 5, 2024

updated

diffusers
Masked-Generative-Transformer
Non-Autoregressive
safetensors
text-to-image

README

Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis

Paper | Model | Code | Demo

demo

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

Please refer to github link.

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}
}

Contributors

BryanW

16 commits

JB
JB-Bai

7 commits

Owen777

3 commits

nielsr

1 commits

MeissonFlow/Meissonic

Model

107

stars

27

commits

3

repos using this model

2

linked in READMEs

Dec 5, 2024

updated

diffusers
Masked-Generative-Transformer
Non-Autoregressive
safetensors
text-to-image

README

Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis

Paper | Model | Code | Demo

demo

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

Please refer to github link.

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}
}

Contributors

BryanW

16 commits

JB
JB-Bai

7 commits

Owen777

3 commits

nielsr

1 commits