feat(nodes): comment out seamless

this will be a model config feature when model manager is ready
This commit is contained in:
psychedelicious 2023-05-24 21:41:46 +10:00 committed by Kent Keirsey
parent 460d555a3d
commit 1e0ae8404c

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@ -169,8 +169,8 @@ class TextToLatentsInvocation(BaseInvocation):
cfg_scale: float = Field(default=7.5, gt=0, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", )
scheduler: SAMPLER_NAME_VALUES = Field(default="lms", description="The scheduler to use" )
model: str = Field(default="", description="The model to use (currently ignored)")
seamless: bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'")
# seamless: bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
# seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'")
# fmt: on
# Schema customisation
@ -205,17 +205,17 @@ class TextToLatentsInvocation(BaseInvocation):
scheduler_name=self.scheduler
)
if isinstance(model, DiffusionPipeline):
for component in [model.unet, model.vae]:
configure_model_padding(component,
self.seamless,
self.seamless_axes
)
else:
configure_model_padding(model,
self.seamless,
self.seamless_axes
)
# if isinstance(model, DiffusionPipeline):
# for component in [model.unet, model.vae]:
# configure_model_padding(component,
# self.seamless,
# self.seamless_axes
# )
# else:
# configure_model_padding(model,
# self.seamless,
# self.seamless_axes
# )
return model