Comments (2)
Vgandhi9
commented on June 24, 2024
I got the exact same error, then while generating the images I passed the value for image_multiplier flag as 255.0 and it gave sensible images but the problem that I am facing is that all the generated images are very much similar, there is almost no difference between the images that are generated.
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tjtorres
commented on June 24, 2024
Sorry I've been a bit absent. I just released a big update, so if you get the new version I think you might have an easier time of training on the Hubble set. If you're noticing that all your images look the same I think you might want to try turning down the kl_ratio parameter, if it is set too high you'll underfit.
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Related Issues (13)
- Error during training on Hubble dataset: could not broadcast input array from shape (300,300,3) into shape (300) HOT 1
- image loss function? HOT 8
- While training on own images, getting a Invalid operation is performed in: LinearFunction (Forward) error HOT 5
- pip installation on py3 fails HOT 3
- Automatic saving does not save meta data
- Script to generate face images with VAEGAN
- sample z from VAE_GAN
- Problem with VAE_GAN.ipynb
- installation instructions do not appear to work?
- different shape/size = black HOT 2
- A runtime error with PNG images. HOT 2
- Chainer error during training: type mismatch HOT 1
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