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IDEA-CCNL/Taiyi-Diffusion-532M-Nature-Chinese

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Model Card

Taiyi-Diffusion-532M-Nature-Chinese

—Main Page:Fengshenbang
—Github: Fengshenbang-LM

简介 Brief Introduction

该模型由Katherine Crowson's的无条件扩散模型在1k+张收集的自然风景图上微调而来。结合IDEA-CCNL/Taiyi-CLIP-Roberta-large-326M-Chinese可以实现中文Guided Diffusion的生成方式。

This model is finetune from Katherine Crowson's fine-tuned 512x512 diffusion model (https://github.com/openai/guided-diffusion), using 1k+ nature image crawled from the InterNet. Combine With IDEA-CCNL/Taiyi-CLIP-Roberta-large-326M-Chinese can generate image via guided diffusion in Chinese.

模型分类 Model Taxonomy

需求 Demand	任务 Task	系列 Series	模型 Model	参数 Parameter	额外 Extra
特殊 Special	多模态 Multimodal	太乙 Taiyi	Diffusion Model	532M	Nature

使用 Usage

使用示例见：https://github.com/IDEA-CCNL/Fengshenbang-LM/tree/main/fengshen/examples/disco_project

生成示例 Example

飞流直下三千尺	东临碣石，以观沧海
[image]	[image]

引用 Citation

如果您在您的工作中使用了我们的模型，可以引用我们的论文：

If you are using the resource for your work, please cite the our paper:

text

@article{fengshenbang,
  author    = {Jiaxing Zhang and Ruyi Gan and Junjie Wang and Yuxiang Zhang and Lin Zhang and Ping Yang and Xinyu Gao and Ziwei Wu and Xiaoqun Dong and Junqing He and Jianheng Zhuo and Qi Yang and Yongfeng Huang and Xiayu Li and Yanghan Wu and Junyu Lu and Xinyu Zhu and Weifeng Chen and Ting Han and Kunhao Pan and Rui Wang and Hao Wang and Xiaojun Wu and Zhongshen Zeng and Chongpei Chen},
  title     = {Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence},
  journal   = {CoRR},
  volume    = {abs/2209.02970},
  year      = {2022}
}

也可以引用我们的网站:

You can also cite our website:

text

@misc{Fengshenbang-LM,
  title={Fengshenbang-LM},
  author={IDEA-CCNL},
  year={2021},
  howpublished={\url{https://github.com/IDEA-CCNL/Fengshenbang-LM}},
}