Thanks for the input, I found that increasing the learning rate produces somewhat better results but still nothing resembling the real data. Past this adjusting n_critic and the learning rate gives diminishing returns. Removing normalization does not help at all, and batch norm seems to work best. I’ll just have to move on to a WGAN-GP implementation.