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Updated field descriptions

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JPPhoto 2024-01-16 22:16:46 -06:00 committed by psychedelicious
parent 4dedd63b74
commit 6a2856e46f
1 changed files with 9 additions and 6 deletions
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15
invokeai/app/invocations/latent.py
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@ -1235,8 +1235,8 @@ class CropLatentsCoreInvocation(BaseInvocation):
class IdealSizeOutput(BaseInvocationOutput):
"""Base class for invocations that output an image"""
width: int = OutputField(description="The ideal width of the image in pixels")
height: int = OutputField(description="The ideal height of the image in pixels")
width: int = OutputField(description="The ideal width of the image (in pixels)")
height: int = OutputField(description="The ideal height of the image (in pixels)")
@invocation(
@ -1248,10 +1248,13 @@ class IdealSizeOutput(BaseInvocationOutput):
class IdealSizeInvocation(BaseInvocation):
"""Calculates the ideal size for generation to avoid duplication"""
width: int = InputField(default=1024, description="Target width")
height: int = InputField(default=576, description="Target height")
unet: UNetField = InputField(default=None, description="UNet submodel")
multiplier: float = InputField(default=1.0, description="Dimensional multiplier")
width: int = InputField(default=1024, description="Final image width")
height: int = InputField(default=576, description="Final image height")
unet: UNetField = InputField(default=None, description=FieldDescriptions.unet)
multiplier: float = InputField(
default=1.0,
description="Amount to multiply the model's dimensions by when calculating the ideal size (may result in initial generation artifacts if too large)",
)
def trim_to_multiple_of(self, *args, multiple_of=LATENT_SCALE_FACTOR):
return tuple((x - x % multiple_of) for x in args)