zhangjinyangnwpu

a problem in utils/util.py

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I have a little confuse about line 302 in util.py lr_blured = torch.clamp(lr_blured.round(), 0, 255) is that right for a (0,1) tensor? when we use degrade for training, dose tensor...

data argumentation

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Hi, thanks for your code, it's elegant, and I learned a lot from it, I have some questions when I read your paper, 1) I noticed that you do a...

will this repo support animatediff?

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excepting~~~

why take first 32 channels as attention map in model.py at line 112

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could you tell me why just take 32 channels feature map as attention map for fusioning？

Could you please explain the differences between v1, v2 and v3 versions? Thanks

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I want to train animatediff, but I found that only the v1 version of the pre-trained model can be loaded in the current code?