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decoder generates noise images

See original GitHub issue

Hi,

I am trying to train a decoder on CUB-200 dataset. However, after nearly 400 epochs, the decoder can still only generate noises and I have been trying a long time to figure out why. I would appreciate your suggestions!

Screen Shot 2022-06-23 at 10 32 41 AM

So the training loss decreases pretty steadily, but the images still look like this: Screen Shot 2022-06-23 at 10 33 41 AM

I have only used 1 unet and the configuration is: dim = 128, image_embed_dim = 768, dim_mults = (1, 2, 4, 8),, for the decoder, the parameters are: image_size=64, timesteps = 1000, image_cond_drop_prob = 0.1, text_cond_drop_prob = 0.5, learned_variance = False.

Thank you!

Issue Analytics

  • State:open
  • Created a year ago
  • Comments:23 (11 by maintainers)

github_iconTop GitHub Comments

1reaction
xinmiaolincommented, Jun 24, 2022

ohh that should be good enough

ok, keep at it with 1e-5, i’d be surprised if that didn’t work

ok, I will come back and update. Thanks

1reaction
xinmiaolincommented, Jun 24, 2022

@xinmiaolin how high is your batch size?

the batch size is 128

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