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It is unstable using your new release code in 64*64 resolution #10

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akafen opened this issue Dec 5, 2017 · 6 comments
Open

It is unstable using your new release code in 64*64 resolution #10

akafen opened this issue Dec 5, 2017 · 6 comments

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@akafen
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akafen commented Dec 5, 2017

It is unstable using your newest release code in 64*64 resolution,why?

@github-pengge
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Can't figure out why. In my experiment, when fading in 256x256, the model crashed.

@github-pengge
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Try train_no_tanh.py with latest data.py script.

@yuanzhaoYZ
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yuanzhaoYZ commented Dec 21, 2017

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
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Me too, the model coIlapsed very early. BTW, the model is trained on my own data set. Is there something important??

@github-pengge
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Use train_no_tanh.py instead.

@KylinYee
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Thx!! It works. I can successfully obtain meaningful images.

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