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Fix/nodes/clipskip metadata optional (#4628)

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## What type of PR is this? (check all applicable)

- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission

## Description

Fixes failure on SDXL metadata node, introduced by me in #4625
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blessedcoolant 2023-09-21 10:34:00 +05:30 committed by GitHub
commit e02700a782
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1 changed files with 4 additions and 2 deletions
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6
invokeai/app/invocations/metadata.py
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@ -42,7 +42,8 @@ class CoreMetadata(BaseModelExcludeNull):
cfg_scale: float = Field(description="The classifier-free guidance scale parameter") cfg_scale: float = Field(description="The classifier-free guidance scale parameter")
steps: int = Field(description="The number of steps used for inference") steps: int = Field(description="The number of steps used for inference")
scheduler: str = Field(description="The scheduler used for inference") scheduler: str = Field(description="The scheduler used for inference")
clip_skip: int = Field( clip_skip: Optional[int] = Field(
default=None,
description="The number of skipped CLIP layers", description="The number of skipped CLIP layers",
) )
model: MainModelField = Field(description="The main model used for inference") model: MainModelField = Field(description="The main model used for inference")
@ -116,7 +117,8 @@ class MetadataAccumulatorInvocation(BaseInvocation):
cfg_scale: float = InputField(description="The classifier-free guidance scale parameter") cfg_scale: float = InputField(description="The classifier-free guidance scale parameter")
steps: int = InputField(description="The number of steps used for inference") steps: int = InputField(description="The number of steps used for inference")
scheduler: str = InputField(description="The scheduler used for inference") scheduler: str = InputField(description="The scheduler used for inference")
clip_skip: int = InputField( clip_skip: Optional[int] = Field(
default=None,
description="The number of skipped CLIP layers", description="The number of skipped CLIP layers",
) )
model: MainModelField = InputField(description="The main model used for inference") model: MainModelField = InputField(description="The main model used for inference")