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Add activations_shape info in UNet models

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This commit is contained in:
Raphael Walker 2025-04-03 15:50:33 +02:00
parent 3d2e3a6f29
commit 6c0fe7c491
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"] = 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"] = x.shape
x_in = x
spatial_context = None
if exists(context):