Awesome Pretrained StyleGAN3

A collection of pretrained models for StyleGAN3 (and some links to encoding methods).

If you'd like to share a model please submit an issue.

For StyleGAN2 models please see: https://github.com/justinpinkney/awesome-pretrained-stylegan2

WikiArt 1024

Name: WikiArt-1024
Download URL: https://drive.google.com/file/d/18MOpwTMJsl_Z17q-wQVnaRLCUFZYSNkj/view?usp=sharing
Author: Justin Pinkney/LambdaLabs
Author URL: https://www.justinpinkney.com/ https://lambdalabs.com/
Dataset: WikiArt
Source URL: https://lambdalabs.com/blog/stylegan-3/
Resolution: 1024x1024
Config: T
Notes: FID=8.1, trained 17.1 Mimgs, gamma=32, mapping layers=2

Landscapes 256

Name: LHQ-256
Download URL: https://drive.google.com/file/d/14UGDDOusZ9TMb-pOrF0PAjMGVWLSAii1/view?usp=sharing
Author: Justin Pinkney/LambdaLabs
Author URL: https://www.justinpinkney.com/ https://lambdalabs.com/
Dataset: LHQ
Source URL: https://twitter.com/Buntworthy/status/1460980442409185287?s=20
Resolution: 256x256
Config: T
Notes: FID=2.31, trained 25 Mimgs, gamma=2, mapping layers=2

Various Wombo Dream models

Name: Lucid Layers Stylegan3 Datasets and Models collection
Source URL: https://github.com/edstoica/lucid_stylegan3_datasets_models/blob/main/README.md
Resolution: 256-512
Config: T
Notes: default settings, no mirror

Benches 512

Name: Memorial Benches
Source URL: https://shkspr.mobi/blog/2022/04/this-bench-does-not-exist/
Resolution: 512
Config: ?
Notes: none

Encoding methods