stylegan tattoo gen

gistfile1.txt

## Examples of colabs using stylegan

1. stylegan3 https://colab.research.google.com/drive/1Nal3M-wjv6BeIgyTgvxhaccPFGEP6cbk?usp=sharing#scrollTo=WbCGexOebBGi
More resource on the colab: https://levelup.gitconnected.com/training-a-stylegan3-in-colab-gan-create-nft-6dd119774644

2. stylegan3 https://github.com/PDillis/stylegan3-fun

3. stylegan2 w/ code to train your own model https://colab.research.google.com/github/dvschultz/ml-art-colabs/blob/master/Stylegan2_ada_Custom_Training.ipynb#scrollTo=jOftFoyiDU3s

4. original repo for stylegan3 https://github.com/NVlabs/stylegan3

5. according to the author is a better default to train on top of https://github.com/skyflynil/stylegan2

## Scrapper

1. Instagram scrapper https://github.com/arc298/instagram-scraper
Doesn't provide classification by color, etc. 

2. Pinterest https://github.com/SwatiModi/pinterest-web-scraper
Pretty basic, only classifies by tag, but pinterest has way cleaner data than instagram

To create a cleaner dataset we can normalize the imgs somehow:
  1. All black and white
  2. Same size
  3. Run some classifier on top (this is a lot of work, I'm guessing, 
  but maybe there's some easy thing, but classifying it by hand will probably be worse.)

## Resources

~~1. pre-trained sets https://pythonrepo.com/repo/edstoica-lucid_stylegan3_datasets_models~~ 
2. convert low resolution outputs from stylegan to higher https://github.com/aiXander/StyleGAN-Resolution-Convertor
3. for whatever reason, the inspiration dude is using https://app.runwayml.com instead of colab. but i think they're very
   different platforms
4. anime: https://mega.nz/file/PeIi2ayb#xoRtjTXyXuvgDxSsSMn-cOh-Zux9493zqdxwVMaAzp4
5. abstract art: https://drive.google.com/uc?id=1YzZemZAp7BVW701_BZ7uabJWJJaS2g7v