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Pad conditioning tensors from clip and clip2 in sdxl

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Sergey Borisov 2023-08-31 04:07:44 +03:00 committed by Kent Keirsey
parent e085eb63bd
commit d5267357b1
1 changed files with 23 additions and 0 deletions
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23
invokeai/app/invocations/compel.py
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@ -302,6 +302,29 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
add_time_ids = torch.tensor([original_size + crop_coords + target_size]) add_time_ids = torch.tensor([original_size + crop_coords + target_size])
# [1, 77, 768], [1, 154, 1280]
if c1.shape[1] < c2.shape[1]:
c1 = torch.cat(
[
c1,
torch.zeros(
(c1.shape[0], c2.shape[1] - c1.shape[1], c1.shape[2]), device=c1.device, dtype=c1.dtype
),
],
dim=1,
)
elif c1.shape[1] > c2.shape[1]:
c2 = torch.cat(
[
c2,
torch.zeros(
(c2.shape[0], c1.shape[1] - c2.shape[1], c2.shape[2]), device=c2.device, dtype=c2.dtype
),
],
dim=1,
)
conditioning_data = ConditioningFieldData( conditioning_data = ConditioningFieldData(
conditionings=[ conditionings=[
SDXLConditioningInfo( SDXLConditioningInfo(