GANfolk: Using AI to create portraits of fictional people to sell as NFTs

How to use GPT-3, StyleGAN2, and VQGAN to synthesize diverse characters from open-source images

By Robert. A Gonsalves

You can see my article on Medium and check out the results here, opensea.io/collection/ganfolk

The source code and generated images are released under the CC BY-SA license.

If you use this project to create images, please give attribution like this: This image was created with GANfolk by Robert A. Gonsalves.

Google Colabs

• GANfolk - StyleGAN 2 and CLIP
• GANfolk - VQGAN and CLIP

Acknowledgements

• StyleGAN 2 by T. Karras, et al., Analyzing and Improving the Image Quality of StyleGAN
  
• StyleGAN 2 implementation by rosinality, https://github.com/rosinality/stylegan2-pytorch
  
• VQGAN by P. Esser, R. Rombach, and B. Ommer, Taming Transformers for High-Resolution Image Synthesis
  
• CLIP by A. Radford, et al., Learning Transferable Visual Models From Natural Language Supervision
  
• GPT-3 by Tom B. Brown, et al., Language Models are Few-Shot Learners
• The original VQGAN+Clip notebook was made by Katherine Crowson, with further modifications by Justin John