You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi,I find that if i modify the resolution of the generated image,the generated images get bad results.Should I increase the number of concurrently trainde stages?
The text was updated successfully, but these errors were encountered:
Hi, I suggest increasing the number of --trained_stages (default is 6) in general. This should already improve results for higher resolutions.
If this is not enough you can also increase the --lr_scale (default is 0.1 - you could try 0.5).
Finally, it might be necessary to train for more iterations on higher stages/resolutions and/or adapt other hyperparameters (receptive field of the discriminator/generator, learning rate, etc).
Thanks for your reply,I tried increase the --trained_stages and the lr_scale,but it might did't work,I want to know the --max_size and the --min_size should be setted to have some kind of proportional relationship?
--min_size should be left at some small value, so I wouldn't change it or at least not increase it. --min_size and --max_size do not need to have a proportional relationship, rather --max_size and --trained_stages should be somewhat proportional, i.e. the larger --max_size the larger --trained_stages should be.
How high did you set --trained_stages to be? What exactly is the problem with the higher-resolution images? Is the global structure wrong or are there artifacts in the images?
Hi,I find that if i modify the resolution of the generated image,the generated images get bad results.Should I increase the number of concurrently trainde stages?
The text was updated successfully, but these errors were encountered: