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Add activations_shape info in UNet models (#7482)

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* Add activations_shape info in UNet models

* activations_shape should be a list
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Raphael Walker 2025-04-05 03:27:54 +02:00 committed by GitHub
parent 3a100b9a55
commit 89e4ea0175
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comfy/ldm/modules/attention.py
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@ -847,6 +847,7 @@ class SpatialTransformer(nn.Module):
if not isinstance(context, list): if not isinstance(context, list):
context = [context] * len(self.transformer_blocks) context = [context] * len(self.transformer_blocks)
b, c, h, w = x.shape b, c, h, w = x.shape
transformer_options["activations_shape"] = list(x.shape)
x_in = x x_in = x
x = self.norm(x) x = self.norm(x)
if not self.use_linear: if not self.use_linear:
@ -962,6 +963,7 @@ class SpatialVideoTransformer(SpatialTransformer):
transformer_options={} transformer_options={}
) -> torch.Tensor: ) -> torch.Tensor:
_, _, h, w = x.shape _, _, h, w = x.shape
transformer_options["activations_shape"] = list(x.shape)
x_in = x x_in = x
spatial_context = None spatial_context = None
if exists(context): if exists(context):