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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
This commit is contained in:
Raphael Walker
2025-04-05 03:27:54 +02:00
committed by GitHub
parent 3a100b9a55
commit 89e4ea0175
1 changed files with 2 additions and 0 deletions
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2
comfy/ldm/modules/attention.py
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@@ -847,6 +847,7 @@ class SpatialTransformer(nn.Module):
if not isinstance(context, list):
context = [context] * len(self.transformer_blocks)
b, c, h, w = x.shape
transformer_options["activations_shape"] = list(x.shape)
x_in = x
x = self.norm(x)
if not self.use_linear:
@@ -962,6 +963,7 @@ class SpatialVideoTransformer(SpatialTransformer):
transformer_options={}
) -> torch.Tensor:
_, _, h, w = x.shape
transformer_options["activations_shape"] = list(x.shape)
x_in = x
spatial_context = None
if exists(context):