Proof of concept Generative Adversarial Network, playing around with code examples
- Training of both an uncategorical and a categorical GAN
- Dataset is the fashion mnist dataset:
from keras.datasets.fashion_mnist import load_data - Skeleton of the code taken from: https://machinelearningmastery.com/how-to-develop-a-conditional-generative-adversarial-network-from-scratch/
The core agent structure of this project has been adapted and expanded to use photos of Warhammer minis drawn from the INQ28 community to generate new model/art concepts: https://github.com/Argel-Tal/WarGAN
- Stolen some code from @advadnoun (twitter)'s Big Sleep text -> image GAN system
- Gonna modify it so I can auto-save the images and create local copies to pipe into GIFs
- Linky link: ⭐ https://colab.research.google.com/drive/1NCceX2mbiKOSlAd_o7IU7nA9UskKN5WR?usp=sharing ⭐