Spaces:
Running
on
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Running
on
Zero
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) | |
![demo](./assets/demos.png) | |
## 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} | |
} | |
``` |