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fix(nodes): clipskip metadata entry is optional
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@ -42,7 +42,8 @@ class CoreMetadata(BaseModelExcludeNull):
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cfg_scale: float = Field(description="The classifier-free guidance scale parameter")
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cfg_scale: float = Field(description="The classifier-free guidance scale parameter")
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steps: int = Field(description="The number of steps used for inference")
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steps: int = Field(description="The number of steps used for inference")
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scheduler: str = Field(description="The scheduler used for inference")
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scheduler: str = Field(description="The scheduler used for inference")
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clip_skip: int = Field(
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clip_skip: Optional[int] = Field(
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default=None,
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description="The number of skipped CLIP layers",
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description="The number of skipped CLIP layers",
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)
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)
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model: MainModelField = Field(description="The main model used for inference")
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model: MainModelField = Field(description="The main model used for inference")
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@ -116,7 +117,8 @@ class MetadataAccumulatorInvocation(BaseInvocation):
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cfg_scale: float = InputField(description="The classifier-free guidance scale parameter")
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cfg_scale: float = InputField(description="The classifier-free guidance scale parameter")
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steps: int = InputField(description="The number of steps used for inference")
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steps: int = InputField(description="The number of steps used for inference")
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scheduler: str = InputField(description="The scheduler used for inference")
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scheduler: str = InputField(description="The scheduler used for inference")
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clip_skip: int = InputField(
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clip_skip: Optional[int] = Field(
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default=None,
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description="The number of skipped CLIP layers",
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description="The number of skipped CLIP layers",
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)
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)
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model: MainModelField = InputField(description="The main model used for inference")
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model: MainModelField = InputField(description="The main model used for inference")
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