README.md

metadata

language: en
license: mit
library_name: diffusers
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
datasets: yuntian-deng/im2latex-100k
metrics: []

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}
  }