✋ This model is not published yet.

You can claim this model if you're @nerdyrodent on GitHub. Contact us.

nerdyrodent / vqgan-clip

Image Generation with VQGAN+CLIP

  • Public
  • 12.3K runs
  • GitHub
  • License

😵 Uh oh! This model can't be run on Replicate because it was built with a version of Cog that is no longer supported. Consider opening an issue on the model's GitHub repository to see if it can be updated to use a recent version of Cog. If you need any help, please hop into our Discord channel or Contact us about it.

Run time and cost

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 3 minutes. The predict time for this model varies significantly based on the inputs.

Readme

VQGAN-CLIP

A repo for running VQGAN+CLIP locally. This started out as a Katherine Crowson VQGAN+CLIP derived Google colab.

Citations

@misc{unpublished2021clip,
    title  = {CLIP: Connecting Text and Images},
    author = {Alec Radford, Ilya Sutskever, Jong Wook Kim, Gretchen Krueger, Sandhini Agarwal},
    year   = {2021}
}
@misc{esser2020taming,
      title={Taming Transformers for High-Resolution Image Synthesis}, 
      author={Patrick Esser and Robin Rombach and Björn Ommer},
      year={2020},
      eprint={2012.09841},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Katherine Crowson - https://github.com/crowsonkb

Public Domain images from Open Access Images at the Art Institute of Chicago - https://www.artic.edu/open-access/open-access-images