awesome-pretrained-stylegan2
A collection of pre-trained StyleGAN 2 models to download
AI summary
StyleGAN2 models
A collection of pre-trained models for a specific type of deep learning architecture used for image generation and manipulation
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What's in the list
167 links in 36 sections, with live GitHub stats.activeno commit in 2y
car (config-e)
- NVIDIA
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
car (config-f)
- NVIDIA
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
cat
- NVIDIA
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
church
- NVIDIA
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
faces (FFHQ config-e)
- NVIDIA
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
faces (FFHQ config-e 256x256)
- Justin Pinkney
Author:
https://github.com/justinpinkney/stylegan2
StyleGAN2 implementation:
faces (FFHQ config-f)
- NVIDIA
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
faces (FFHQ config-f 512x512)
- aydao
Author:
horse
- NVIDIA
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
Imagenet
- Shawn Presser
Author:
WikiArt
- Peter Baylies
Author:
https://github.com/pbaylies/stylegan2
StyleGAN2 implementation:
Anime portraits
- Aaron Gokaslan
Author:
microscope images
- Michael Friesen
Author:
wildlife
- Michael Friesen
Author:
modern art
- Michael Friesen
Author:
trypophobia
- Sid Black
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
Abstract art
- Derrick Schultz
Author:
Maps
- Topi Tjukanov
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
cakes
- Justin Pinkney
Author:
https://github.com/justinpinkney/stylegan2
StyleGAN2 implementation:
CIFAR 10
- mit-han-lab
Author:
https://github.com/mit-han-lab/data-efficient-gans/tree/master/DiffAugment-stylegan2
StyleGAN2 implementation:
CIFAR 100
- mit-han-lab
Author:
https://github.com/mit-han-lab/data-efficient-gans/tree/master/DiffAugment-stylegan2
StyleGAN2 implementation:
faces (FFHQ slim 256x256)
- mit-han-lab
Author:
https://github.com/mit-han-lab/data-efficient-gans/tree/master/DiffAugment-stylegan2
StyleGAN2 implementation:
obama
- mit-han-lab
Author:
https://github.com/mit-han-lab/data-efficient-gans/tree/master/DiffAugment-stylegan2
StyleGAN2 implementation:
grumpy cat
- mit-han-lab
Author:
https://github.com/mit-han-lab/data-efficient-gans/tree/master/DiffAugment-stylegan2
StyleGAN2 implementation:
panda
- mit-han-lab
Author:
https://github.com/mit-han-lab/data-efficient-gans/tree/master/DiffAugment-stylegan2
StyleGAN2 implementation:
fursona
- arfa
Author:
my little pony
- arfa
Author:
painting faces
- AK
Author:
ukiyoe faces
- Justin Pinkney
Author:
https://github.com/justinpinkney/data-efficient-gans/
StyleGAN2 implementation:
beetles
- Bernat Cuni
Author:
textures
- Bernat Cuni
Author:
more abstract art
- Nick Saraev
Author:
flowers
- Justin Pinkney
Author:
https://github.com/justinpinkney/data-efficient-gans/
StyleGAN2 implementation:
Doors
- Vasily Korf
Author:
https://github.com/NVlabs/stylegan2
StyleGAN2 implementation:
floor plans
- Mayur Mistry
Author:
https://github.com/NVlabs/stylegan
StyleGAN2 implementation:
figure drawings
- Krrrl
Author:
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Featured in 2 awesome lists
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