ZhouCX117

@rosinality @sbhadra2020 @ZhanYangen Hi，everyone!It seems that I meet the same problem. The reconstruction results are reasonable. However, the sample results are strange. So is the problem the top code？What changes...

Thanks for your reply！So I have to train one？ Is there a shortcut if I only want to have a try？ Do you provide a demo or colab？

Thanks for your answer! Why do we need a z list rather than a single z?

Thanks a lot! I think I have more understanding of the glow model.

Hi， It is me again! I can't understand the `self.scale = nn.Parameter(torch.zeros(1, out_channel, 1, 1))` and "out = out * torch.exp(self.scale * 3)" in the ZeroConv2d module. Could you please...

`if args.n_bits < 8: image = torch.floor(image / 2 ** (8 - args.n_bits)) image = image / n_bins - 0.5` Hi, a more question. Does this code mean image=image/256-0.5? What...

`loss = -log(n_bins) * n_pixel` Hi~ Why do we need this constant loss? I appreciate your answer! Thanks a lot!

Hi, do you train the face for image_size 256*256? What is the setup of hyperparameters? I set the batch=2 and keep the other, the results are so bad.

The parallel train can't work. And if I change the n_block from 4 to 6 as suggested by the paper, the loss becomes Nan.

@nikitadurasov Hi, could you please tell me how masksembles change the correlation between submodels? From the paper and code, I don't understand this. Does the drop features that are not...