StyleGAN2-Electron
An Intuitive Approach to inference StyleGAN2
How to run ?
-
Create a python virtual environment using anaconda (Tested on python 3.7.3)
-
Run requirement.txt for stylegan2_pytorch (in your created virtual environment)
pip install pip install -r requirements.txt -
Download and Convert Pretrained Model
- Download Pretrained StyleGAN2 Model (this project use model and dlatents from GWERN StyleGAN2 pretrained model)
- Convert StyleGAN2 tf pretrained model to pytorch using script in ./stylegan2_pytorch/pretrained_model
run_convert_from_tf.py --input="Path/To/PKL_MODEL" --output="stylegan2_pytorch/pretrained_model"
-
Install packages
Yarn install and Yarn start -
Setup python path using interface in application
If I don't want to use stylegan2 anime model, how to Update your own latent direction ?
You can modify directional latent at stylegan2_pytorch/pretrained_model/modded_dlatents/tag_dirs_cont.pkl
How to Deploy ?
Yarn Package
StyleGAN2 Tutorial Notebook for those who want to explore StyleGAN2
There is a tutorial notebook in /stylegan2_pytorch folder which demostrate a basic function to Generate and Interpolate Image
Special Thanks to
- https://github.com/gwern for anime stylegan2 pretrained model
- https://github.com/halcy for pretrained latent direction and the crucial concept of StyleGAN2
- https://github.com/viuts for the ways to convert tf model to pytorch model to support my macbook pro cpu