A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

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Deep Learningawesome-pretrained-stylegan2
Overview

Awesome Pretrained StyleGAN2

A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

Note the readme is a bit out of date, there are more models linked in the issues.

If you have a publically accessible model which you know of, or would like to share please see the contributing section. Hint: the simplest way to submit a model is to fill in this form.

Table of Contents

car (config-e)

car (config-f)

cat

church

faces (FFHQ config-e)

faces (FFHQ config-e 256x256)

faces (FFHQ config-f)

faces (FFHQ config-f 512x512)

horse

Imagenet

WikiArt

Anime portraits

microscope images

wildlife

modern art

trypophobia

Abstract art

Maps

cakes

CIFAR 10

CIFAR 100

faces (FFHQ slim 256x256)

obama

grumpy cat

panda

fursona

my little pony

painting faces

ukiyoe faces

beetles

textures

more abstract art

flowers

Doors

floor plans

figure drawings

Notes

  • The configuration "slim" refers to the reduced feature map model used in the Karras limited data and Zhao data efficient papers.
  • Each row in the sample grids above use a different level of trunction: 0.25, 0.5, 0.75, 1 from top to bottom.
  • Style mixing figure and interpolation video generated using truncation of 0.75

Contributing

TLDR: You can either edit the models.json file or fill out this form.

This readme is automatically generated using Jinja, please do not try and edit it directly. Information about the models is stored in models.json please add your model to this file. Preview images are generated automatically and the process is used to test the link so please only edit the json file.

Owner
Justin
Justin
GitHub Repository
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