diffusionmask's People
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@weijiawu when is the code going to be released !!
About the average cross-attention map on Stable-diffusion
Dear Author, thank you for your outstanding work! In the stable-diffusion unet architecture, there are 16 cross-attentions for text and image, 6 times for downsampling (64, 32, 16 each twice), one in the 8*8, and 9 times for upsampling (3 times each for 64, 32, 16) ), but the "where S and T refer to the total steps and the number of layers (i.e., four for U-Net)" mentioned in Section 3.2 seems to only use 4 layers? I would like to ask whether the 16 cross-attention maps are averaged or only the specific 4 layers are used.
这篇论文代码大概啥时候开源
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