odegeasslbc/ fastgan-pytorch

A Fast and Stable GAN for Small and High Resolution Imagesets

Run time and cost

This model runs on CPU hardware. Predictions typically complete within 2 seconds. The predict time for this model varies significantly based on the inputs.

Readme

The official pytorch implementation of the paper “Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis”, the paper can be found here.

Re-train the model

Instructions for how to retrain FastGAN on your own dataset can be found in the GitHub README.