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What exactly do you mean by "there are too many Conv"? |
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hi any update on a potential |
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I am working on processing 1-D data with conditions using diffusion, and I am using Hugging Face models to accelerate my work. I am using UNet2DConditionModel, but the kernels are all in the shape of (3, 3), and I need to pad my 1-D data with padding=1, which means the upper (1, 3) and the lower (1, 3) in the kernels are useless and wasting lots of computing resources. I want to know if there is any good solution for my work (UNet model for conditional 1-D). I tried to modify the code in diffusers, but there are too many Conv.
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