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wd_network_zoo's Introduction

Wisketchy Dobrov's collection of pretrained StyleGAN2-ada-pytorch compatible networks

Here you can see some of my network, based on ffhq one. Use them as you please. Links are in the json file.

NeuralKuvshinov2

In order to make a dataset, I downloaded the whole instagram of Ilia Kuvshinov with instaloader and, using some automation pull out all the faces.

NeuralKuvshinov2

Idols

For some project, I needed an average Japanese idol likeness, so I fetched some sites with said people, aligned and cropped the faces (basically everywhere you see a face, I used this step unless explicitly stated I'm not, so I will omit to mention it)

Idols

Asian heritage

Honestly, I just wanted to see if it can be done, but this and two following networks can be used for lowering an unrepresentative bias in human face datasets. Basically, I used FairFace to filter what I wanted.

Asian heritage

African heritage

The same as previous

African heritage

Indian heritage

The same as previous

Indian heritage

10-19 yo

Like the asian heritage one this can be used to lower age bias in dataset.

10-19 yo

60+ yo

The same as previous

10-19 yo

Corgi

Just corgi, as simple as that.

corgi

Cats

Cats faces, sometimes distorted, but it's on dataset (wich's made by me too)

cats

NeuralKuvshinov1

This is the first attempt to make a network to generate Ilia Kuvshinov's art. In this particular instance, I manually filter what I think is suitable for this network to learn on.

NeuralKuvshinov1

Ava's Demon

Some fun little project about a particular webcomic.

Ava's Demon

Archillect

Wanting something surrealistic I used the Archillect instagram as a source for the dataset. I downloaded it whole and padded all images to a square.

Archillect

Liminal

A subset of the archillect network. I trained the previous network on a dump of the /r/LiminalSpace subreddit.

Liminal

K-pop

Nightmarish failed experiment, for some reason, I tried to use a raw dataset of random frames from k-pop videos. Don't ask why.

K-pop

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