forked from tinygrad/tinygrad
confirmed (#449)
w/ a bunch of print statements in the official model here: https://github.com/CompVis/stable-diffusion/blob/ce05de28194041e030ccfc70c635fe3707cdfc30/ldm/modules/diffusionmodules/openaimodel.py#L413
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@@ -310,7 +310,6 @@ class UNetModel:
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]
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self.input_blocks = [
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[Conv2d(4, 320, kernel_size=3, padding=1)],
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# TODO: my head sizes and counts are a guess
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[ResBlock(320, 1280, 320), SpatialTransformer(320, 768, 8, 40)],
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[ResBlock(320, 1280, 320), SpatialTransformer(320, 768, 8, 40)],
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[Downsample(320)],
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