Generating new samples using a trained model

[m-k-S]

Hi @rosinality,

Thank you for writing this code, and sorry to open an issue on such an old repository, but I was hoping to ask you a question about generating new samples once a model has been trained, as I can't see any code to do so in the repository. I'm currently training a model using the CelebA dataset using your code and am not sure how to generate a new image once it's completed.

Specifically, what values for alpha and step should I pass to my generator call in this code? Can I just pass step=5 and alpha=1?

[rosinality]

Step is increased every 100,000 iterations, and alpha = 1 after 50,000 iterations after each step starts. So you can use step = 5 and alpha = 1 after 550,000 iteration checkpoints.

Sorry for confusing complications. I didn't thought much about this when I have tried to implement. 😖