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
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
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