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feat(nodes): remove ui_type overrides for polymorphic fields

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psychedelicious 2023-09-15 11:01:37 +10:00
parent 8ca37bba33
commit 144ede031e
3 changed files with 2 additions and 5 deletions
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2
invokeai/app/invocations/controlnet_image_processors.py
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@ -100,7 +100,7 @@ class ControlNetInvocation(BaseInvocation):
image: ImageField = InputField(description="The control image") image: ImageField = InputField(description="The control image")
control_model: ControlNetModelField = InputField(description=FieldDescriptions.controlnet_model, input=Input.Direct) control_model: ControlNetModelField = InputField(description=FieldDescriptions.controlnet_model, input=Input.Direct)
control_weight: Union[float, List[float]] = InputField( control_weight: Union[float, List[float]] = InputField(
default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float default=1.0, description="The weight given to the ControlNet"
) )
begin_step_percent: float = InputField( begin_step_percent: float = InputField(
default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)" default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"

3
invokeai/app/invocations/latent.py
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@ -210,7 +210,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection, ui_order=3) noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection, ui_order=3)
steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps) steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps)
cfg_scale: Union[float, List[float]] = InputField( cfg_scale: Union[float, List[float]] = InputField(
default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type=UIType.Float, title="CFG Scale" default=7.5, ge=1, description=FieldDescriptions.cfg_scale, title="CFG Scale"
) )
denoising_start: float = InputField(default=0.0, ge=0, le=1, description=FieldDescriptions.denoising_start) denoising_start: float = InputField(default=0.0, ge=0, le=1, description=FieldDescriptions.denoising_start)
denoising_end: float = InputField(default=1.0, ge=0, le=1, description=FieldDescriptions.denoising_end) denoising_end: float = InputField(default=1.0, ge=0, le=1, description=FieldDescriptions.denoising_end)
@ -220,7 +220,6 @@ class DenoiseLatentsInvocation(BaseInvocation):
unet: UNetField = InputField(description=FieldDescriptions.unet, input=Input.Connection, title="UNet", ui_order=2) unet: UNetField = InputField(description=FieldDescriptions.unet, input=Input.Connection, title="UNet", ui_order=2)
control: Union[ControlField, list[ControlField]] = InputField( control: Union[ControlField, list[ControlField]] = InputField(
default=None, default=None,
description=FieldDescriptions.control,
input=Input.Connection, input=Input.Connection,
ui_order=5, ui_order=5,
) )

2
invokeai/app/invocations/onnx.py
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@ -166,7 +166,6 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
default=7.5, default=7.5,
ge=1, ge=1,
description=FieldDescriptions.cfg_scale, description=FieldDescriptions.cfg_scale,
ui_type=UIType.Float,
) )
scheduler: SAMPLER_NAME_VALUES = InputField( scheduler: SAMPLER_NAME_VALUES = InputField(
default="euler", description=FieldDescriptions.scheduler, input=Input.Direct, ui_type=UIType.Scheduler default="euler", description=FieldDescriptions.scheduler, input=Input.Direct, ui_type=UIType.Scheduler
@ -179,7 +178,6 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
control: Optional[Union[ControlField, list[ControlField]]] = InputField( control: Optional[Union[ControlField, list[ControlField]]] = InputField(
default=None, default=None,
description=FieldDescriptions.control, description=FieldDescriptions.control,
ui_type=UIType.Control,
) )
# seamless: bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", ) # seamless: bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", )
# seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'") # seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'")