Sure - I want to test it out on 64x64 images first, because of training time and hardware issues etc. Apologies if I didn’t make that clear!
The discriminator above (sorry am on mobile so a bit of a business to paste it again) does by default expect 256x256.
Should I just forget about trying 64x64 first? Or is it easy to change the discriminator and generator to have the same network structure but accomodate sizes other than 256x256 (such as 64x64)? Would be nice to be able to pass variable image sizes and not hardcode everything.
Thanks again!