Awesome Pretrained StyleGAN2
A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.
See this repo for pretrained models for StyleGAN 1
car (config-e)
- Dataset: LSUN Cat
- Resolution: 512x384 config: e
- Author: NVIDIA
- Download link
- StyleGAN2 implementation: https://github.com/NVlabs/stylegan2
- Licence: Nvidia Source Code License-NCNvidia Source Code License-NC
- Source
car (config-f)
- Dataset: LSUN Cat
- Resolution: 512x384 config: f
- Author: NVIDIA
- Download link
- StyleGAN2 implementation: https://github.com/NVlabs/stylegan2
- Licence: Nvidia Source Code License-NC
- Source
cat
- Dataset: LSUN Cat
- Resolution: 256x256 config: f
- Author: NVIDIA
- Download link
- StyleGAN2 implementation: https://github.com/NVlabs/stylegan2
- Licence: Nvidia Source Code License-NC
- Source
church
- Dataset: LSUN Church
- Resolution: 256x256 config: f
- Author: NVIDIA
- Download link
- StyleGAN2 implementation: https://github.com/NVlabs/stylegan2
- Licence: Nvidia Source Code License-NC
- Source
FFHQ (config-e)
- Dataset: FFHQ
- Resolution: 1024x1024 config: e
- Author: NVIDIA
- Download link
- StyleGAN2 implementation: https://github.com/NVlabs/stylegan2
- Licence: Nvidia Source Code License-NC
- Source
FFHQ (config-f)
- Dataset: FFHQ
- Resolution: 1024x1024 config: f
- Author: NVIDIA
- Download link
- StyleGAN2 implementation: https://github.com/NVlabs/stylegan2
- Licence: Nvidia Source Code License-NC
- Source
horse
- Dataset: LSUN Horse
- Resolution: 256x256 config: f
- Author: NVIDIA
- Download link
- StyleGAN2 implementation: https://github.com/NVlabs/stylegan2
- Licence: Nvidia Source Code License-NC
- Source
Imagenet
- Dataset: Image net
- Resolution: 512x512 config: Unknown
- Author: Shawn Presser
- Download link
- StyleGAN2 implementation: Unknown
- Notes: Trained using TPUs
- Licence: Unknown
- Source
WikiArt
- Dataset: WikiArt
- Resolution: Unknown config: Unknown
- Author: Peter Baylies
- Download link
- StyleGAN2 implementation: https://github.com/pbaylies/stylegan2
- Notes: Conditional
- Licence: Unknown
- Source
Anime portraits
- Dataset: Danboru
- Resolution: 512x512 config: f
- Author: Aaron Gokaslan
- Download link
- StyleGAN2 implementation: Unknown
- Licence: Unknown
- Source
microscope images
- Dataset: Unknown
- Resolution: 1024x1024 config: Unknown
- Author: Michael Friesen
- Download link
- StyleGAN2 implementation: Unknown
- Licence: Unknown
- Source
wildlife
- Dataset: Unknown
- Resolution: Unknown config: Unknown
- Author: Michael Friesen
- Download link
- StyleGAN2 implementation: Unknown
- Licence: Unknown
- Source
modern art
- Dataset: Unknown
- Resolution: Unknown config: Unknown
- Author: Michael Friesen
- Download link
- StyleGAN2 implementation: Unknown
- Licence: Unknown
- Source
trypophobia
- Dataset: https://drive.google.com/file/d/1u_fLHmO6JuJlBTQIKRGgl4PeBKbBu9GJ/view
- Resolution: 1024x1024 config: f
- Author: Sid Black
- Download link
- StyleGAN2 implementation: https://github.com/NVlabs/stylegan2
- Licence: Nvidia Source Code License-NC
- Source
Abstract art
- Dataset: Frea Buckler artwork
- Resolution: 1024x1024 config: f
- Author: Derrick Schultz
- Download link
- StyleGAN2 implementation: RunwayML
- Notes: Based on Frea Buckler’s artwork from her Instagram account (purposefully undertrained to be abstract and not infringe on the artist’s own work)
- Licence: Unknown
- Source