cursed-poodles

The styleGAN that nobody asked for! I had a lot of fun learning about GANs and decided to train one of my own.

• The model was designed by NVIDIA: https://github.com/NVlabs/stylegan2-ada-pytorch
• I used flicker to scrape images of poodles and barely filtered the data, mostly for my own curiosity.
• The final model took 14 hours to train using my RTX 2060 NVIDIA gpu.

Set-up Instructions using Pip Virtual Enviroments

1. Make sure you are using Python version 3.9.13 (I did this using a pyenv shell)
2. Create a new pip enviroment
3. git clone https://github.com/NVlabs/stylegan2-ada-pytorch to replace the empty folder named "stylegan2-ada-pytorch" in the repository
4. Activate the enviroment and pip install requirements.txt
5. Decompress the .pkl file holding the model. I had to split it into 11 zip files to upload to Github, but you can use 7zip file manager to combine and unzip the file.
   • Open 7zip
   • Select all parts of the .zip.001 to .zip.011
   • Click extract
6. Run demo.ipynb and have fun! You can change the seed values to generate new images of poodles.

Results