It is unstable using your new release code in 64*64 resolution
akafen opened this issue · 6 comments
akafen commented
It is unstable using your newest release code in 64*64 resolution,why?
github-pengge commented
Can't figure out why. In my experiment, when fading in 256x256, the model crashed.
github-pengge commented
Try train_no_tanh.py
with latest data.py
script.
RooseveltAdvisors commented
yeah, same thing happened to me as well. In my case, the model collapsed very early on at 16*16 fade in
. ( I used default value for all the hyper-parameters listed in the README)
--g_lr_max 1e-3 --d_lr_max 1e-3 --train_kimg 600 --transition_kimg 600 --beta1 0 --beta2 0.99 --gan lsgan --first_resol 4 --target_resol 256 --no_tanh
KylinYee commented
Me too, the model coIlapsed very early. BTW, the model is trained on my own data set. Is there something important??
github-pengge commented
Use train_no_tanh.py
instead.
KylinYee commented
Thx!! It works. I can successfully obtain meaningful images.