Really great project. I'm interested in how you've implemented the back-end? How did you productionize the GAN model? Or did you just pregenerate 1000 images? (ie. are the images generated on-demand?)
So the backend is simple, i've chosen to pregenerate 1 mil images at the beginning so it gives you some idea of diversity. I"ve tried to generate them realtime, but my server would have not survived the hackernews popularity today.
The gan model is created by me, see in the comments above.
I'm planning on bringing up new images on a daily timeframe, keep the one that people choose as favorites and delete the ones that were not popular
