Edit model card

latex2im_ss_finetunegptneo

Model description

Details of this model can be found in our paper on markup-to-image generation. Our code is built on top of HuggingFace diffusers and transformers.

Online Demo: https://huggingface.co/spaces/yuntian-deng/latex2im.

Model Details

  • Developed by: Yuntian Deng, Noriyuki Kojima, Alexander M. Rush

  • Model type: Diffusion-based text-to-image generation model

  • Language(s): English

  • License: MIT.

  • Model Description: This is a model that can be used to generate math formula images based on LaTeX prompts.

  • Resources for more information: GitHub Repository, Paper.

  • Cite as:

    @inproceedings{
      deng2023markuptoimage,
      title={Markup-to-Image Diffusion Models with Scheduled Sampling},
      author={Yuntian Deng and Noriyuki Kojima and Alexander M Rush},
      booktitle={The Eleventh International Conference on Learning Representations },
      year={2023},
      url={https://openreview.net/forum?id=81VJDmOE2ol}
    }
    
Downloads last month
74
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train yuntian-deng/latex2im_ss_finetunegptneo

Spaces using yuntian-deng/latex2im_ss_finetunegptneo 2