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update outputs

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This commit is contained in:
yiyixuxu
2026-01-10 10:56:54 +01:00
parent fbfe5c8d6b
commit 43ab14845d
4 changed files with 8 additions and 16 deletions
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6
src/diffusers/modular_pipelines/qwenimage/modular_blocks_qwenimage.py
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@@ -418,9 +418,7 @@ class QwenImageAutoCoreDenoiseStep(ConditionalPipelineBlocks):
@property
def outputs(self):
return [
OutputParam(
name="latents", type_hint=torch.Tensor, description="The latents generated by the denoising step"
),
OutputParam.latents(),
]
@@ -500,5 +498,5 @@ class QwenImageAutoBlocks(SequentialPipelineBlocks):
@property
def outputs(self):
return [
OutputParam(name="images", type_hint=List[List[PIL.Image.Image]]),
OutputParam.images(),
]

6
src/diffusers/modular_pipelines/qwenimage/modular_blocks_qwenimage_edit.py
View File

@@ -313,9 +313,7 @@ class QwenImageEditAutoDecodeStep(AutoPipelineBlocks):
@property
def outputs(self):
return [
OutputParam(
name="latents", type_hint=torch.Tensor, description="The latents generated by the denoising step"
),
OutputParam.latents(),
]
@@ -349,5 +347,5 @@ class QwenImageEditAutoBlocks(SequentialPipelineBlocks):
@property
def outputs(self):
return [
OutputParam(name="images", type_hint=List[List[PIL.Image.Image]], description="The generated images"),
OutputParam.images(),
]

6
src/diffusers/modular_pipelines/qwenimage/modular_blocks_qwenimage_edit_plus.py
View File

@@ -144,9 +144,7 @@ class QwenImageEditPlusCoreDenoiseStep(SequentialPipelineBlocks):
@property
def outputs(self):
return [
OutputParam(
name="latents", type_hint=torch.Tensor, description="The latents generated by the denoising step"
),
OutputParam.latents(),
]
@@ -196,5 +194,5 @@ class QwenImageEditPlusAutoBlocks(SequentialPipelineBlocks):
@property
def outputs(self):
return [
OutputParam(name="images", type_hint=List[List[PIL.Image.Image]], description="The generated images"),
OutputParam.images(),
]

6
src/diffusers/modular_pipelines/qwenimage/modular_blocks_qwenimage_layered.py
View File

@@ -142,9 +142,7 @@ class QwenImageLayeredCoreDenoiseStep(SequentialPipelineBlocks):
@property
def outputs(self):
return [
OutputParam(
name="latents", type_hint=torch.Tensor, description="The latents generated by the denoising step"
),
OutputParam.latents(),
]
@@ -174,5 +172,5 @@ class QwenImageLayeredAutoBlocks(SequentialPipelineBlocks):
@property
def outputs(self):
return [
OutputParam(name="images", type_hint=List[List[PIL.Image.Image]], description="The generated images"),
OutputParam.images(),
]