mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
feat: rename ui_type_hint to ui_type
Just a bit more succinct while not losing any clarity.
This commit is contained in:
psychedelicious
parent
18006cab9a
commit
fa884134d9
@ -90,7 +90,7 @@ class Input(str, Enum):
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Any = "any"
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class UITypeHint(str, Enum):
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class UIType(str, Enum):
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"""
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Type hints for the UI.
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If a field should be provided a data type that does not exactly match the python type of the field, \
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@ -164,7 +164,7 @@ class _InputField(BaseModel):
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input: Input
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ui_hidden: bool
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ui_type_hint: Optional[UITypeHint]
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ui_type: Optional[UIType]
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ui_component: Optional[UIComponent]
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@ -177,7 +177,7 @@ class _OutputField(BaseModel):
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"""
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ui_hidden: bool
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ui_type_hint: Optional[UITypeHint]
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ui_type: Optional[UIType]
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def InputField(
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@ -208,7 +208,7 @@ def InputField(
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discriminator: Optional[str] = None,
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repr: bool = True,
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input: Input = Input.Any,
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ui_type_hint: Optional[UITypeHint] = None,
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ui_type: Optional[UIType] = None,
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ui_component: Optional[UIComponent] = None,
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ui_hidden: bool = False,
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**kwargs: Any,
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@ -224,12 +224,12 @@ def InputField(
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`Input.Connection` means the value must be provided by a connection. \
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`Input.Any` means either will do.
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:param UITypeHint ui_type_hint: [None] Optionally provides an extra type hint for the UI. \
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:param UIType ui_type: [None] Optionally provides an extra type hint for the UI. \
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In some situations, the field's type is not enough to infer the correct UI type. \
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For example, model selection fields should render a dropdown UI component to select a model. \
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Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
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`MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
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`UITypeHint.SDXLMainModelField` to indicate that the field is an SDXL main model field.
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`UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field.
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:param UIComponent ui_component: [None] Optionally specifies a specific component to use in the UI. \
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The UI will always render a suitable component, but sometimes you want something different than the default. \
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@ -266,7 +266,7 @@ def InputField(
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discriminator=discriminator,
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repr=repr,
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input=input,
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ui_type_hint=ui_type_hint,
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ui_type=ui_type,
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ui_component=ui_component,
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ui_hidden=ui_hidden,
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**kwargs,
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@ -300,7 +300,7 @@ def OutputField(
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regex: Optional[str] = None,
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discriminator: Optional[str] = None,
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repr: bool = True,
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ui_type_hint: Optional[UITypeHint] = None,
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ui_type: Optional[UIType] = None,
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ui_hidden: bool = False,
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**kwargs: Any,
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) -> Any:
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@ -310,12 +310,12 @@ def OutputField(
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This is a wrapper for Pydantic's [Field](https://docs.pydantic.dev/1.10/usage/schema/#field-customization) \
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that adds a few extra parameters to support graph execution and the node editor UI.
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:param UITypeHint ui_type_hint: [None] Optionally provides an extra type hint for the UI. \
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:param UIType ui_type: [None] Optionally provides an extra type hint for the UI. \
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In some situations, the field's type is not enough to infer the correct UI type. \
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For example, model selection fields should render a dropdown UI component to select a model. \
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Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
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`MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
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`UITypeHint.SDXLMainModelField` to indicate that the field is an SDXL main model field.
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`UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field.
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: param bool ui_hidden: [False] Specifies whether or not this field should be hidden in the UI. \
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"""
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@ -346,7 +346,7 @@ def OutputField(
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regex=regex,
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discriminator=discriminator,
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repr=repr,
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ui_type_hint=ui_type_hint,
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ui_type=ui_type,
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ui_hidden=ui_hidden,
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**kwargs,
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)
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@ -8,7 +8,7 @@ from pydantic import validator
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from invokeai.app.invocations.primitives import ImageCollectionOutput, ImageField, IntegerCollectionOutput
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from invokeai.app.util.misc import SEED_MAX, get_random_seed
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from .baseinvocation import BaseInvocation, InputField, InvocationContext, UITypeHint, tags, title
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from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIType, tags, title
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@title("Integer Range")
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@ -81,7 +81,7 @@ class ImageCollectionInvocation(BaseInvocation):
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# Inputs
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images: list[ImageField] = InputField(
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default=[], description="The image collection to load", ui_type_hint=UITypeHint.ImageCollection
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default=[], description="The image collection to load", ui_type=UIType.ImageCollection
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)
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def invoke(self, context: InvocationContext) -> ImageCollectionOutput:
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@ -39,7 +39,7 @@ from .baseinvocation import (
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Input,
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InvocationContext,
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OutputField,
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UITypeHint,
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UIType,
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tags,
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title,
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)
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@ -109,7 +109,7 @@ class ControlNetInvocation(BaseInvocation):
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default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
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)
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control_weight: Union[float, List[float]] = InputField(
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default=1.0, description="The weight given to the ControlNet", ui_type_hint=UITypeHint.Float
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default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
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)
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begin_step_percent: float = InputField(
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default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
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@ -51,7 +51,7 @@ from .baseinvocation import (
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InputField,
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InvocationContext,
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OutputField,
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UITypeHint,
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UIType,
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tags,
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title,
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)
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@ -116,7 +116,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
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noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection)
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steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps)
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cfg_scale: Union[float, List[float]] = InputField(
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default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type_hint=UITypeHint.Float
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default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type=UIType.Float
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)
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denoising_start: float = InputField(default=0.0, ge=0, le=1, description=FieldDescriptions.denoising_start)
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denoising_end: float = InputField(default=1.0, ge=0, le=1, description=FieldDescriptions.denoising_end)
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@ -12,7 +12,7 @@ from .baseinvocation import (
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Input,
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InvocationContext,
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OutputField,
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UITypeHint,
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UIType,
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tags,
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title,
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)
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@ -365,7 +365,7 @@ class VaeLoaderInvocation(BaseInvocation):
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# Inputs
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vae_model: VAEModelField = InputField(
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description=FieldDescriptions.vae_model, input=Input.Direct, ui_type_hint=UITypeHint.VaeModel, title="VAE"
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description=FieldDescriptions.vae_model, input=Input.Direct, ui_type=UIType.VaeModel, title="VAE"
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)
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def invoke(self, context: InvocationContext) -> VaeLoaderOutput:
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@ -16,7 +16,7 @@ from .baseinvocation import (
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InputField,
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InvocationContext,
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OutputField,
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UITypeHint,
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UIType,
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tags,
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title,
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)
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@ -31,7 +31,7 @@ from .baseinvocation import (
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InvocationContext,
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OutputField,
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UIComponent,
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UITypeHint,
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UIType,
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tags,
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title,
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)
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@ -167,7 +167,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
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default=7.5,
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ge=1,
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description=FieldDescriptions.cfg_scale,
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ui_type_hint=UITypeHint.Float,
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ui_type=UIType.Float,
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)
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scheduler: SAMPLER_NAME_VALUES = InputField(
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default="euler", description=FieldDescriptions.scheduler, input=Input.Direct
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@ -180,7 +180,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
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control: Optional[Union[ControlField, list[ControlField]]] = InputField(
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default=None,
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description=FieldDescriptions.control,
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ui_type_hint=UITypeHint.Control,
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ui_type=UIType.Control,
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)
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# seamless: bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", )
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# seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'")
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@ -416,7 +416,7 @@ class OnnxModelLoaderInvocation(BaseInvocation):
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# Inputs
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model: OnnxModelField = InputField(
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description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type_hint=UITypeHint.ONNXModel
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description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type=UIType.ONNXModel
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)
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def invoke(self, context: InvocationContext) -> ONNXModelLoaderOutput:
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@ -14,7 +14,7 @@ from .baseinvocation import (
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InvocationContext,
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OutputField,
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UIComponent,
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UITypeHint,
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UIType,
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tags,
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title,
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)
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@ -43,7 +43,7 @@ class BooleanCollectionOutput(BaseInvocationOutput):
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# Outputs
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collection: list[bool] = OutputField(
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default_factory=list, description="The output boolean collection", ui_type_hint=UITypeHint.BooleanCollection
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default_factory=list, description="The output boolean collection", ui_type=UIType.BooleanCollection
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)
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@ -80,7 +80,7 @@ class IntegerCollectionOutput(BaseInvocationOutput):
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# Outputs
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collection: list[int] = OutputField(
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default_factory=list, description="The int collection", ui_type_hint=UITypeHint.IntegerCollection
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default_factory=list, description="The int collection", ui_type=UIType.IntegerCollection
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)
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@ -117,7 +117,7 @@ class FloatCollectionOutput(BaseInvocationOutput):
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# Outputs
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collection: list[float] = OutputField(
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default_factory=list, description="The float collection", ui_type_hint=UITypeHint.FloatCollection
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default_factory=list, description="The float collection", ui_type=UIType.FloatCollection
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)
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@ -154,7 +154,7 @@ class StringCollectionOutput(BaseInvocationOutput):
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# Outputs
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collection: list[str] = OutputField(
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default_factory=list, description="The output strings", ui_type_hint=UITypeHint.StringCollection
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default_factory=list, description="The output strings", ui_type=UIType.StringCollection
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)
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@ -199,7 +199,7 @@ class ImageCollectionOutput(BaseInvocationOutput):
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# Outputs
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collection: list[ImageField] = OutputField(
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default_factory=list, description="The output images", ui_type_hint=UITypeHint.ImageCollection
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default_factory=list, description="The output images", ui_type=UIType.ImageCollection
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)
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@ -256,7 +256,7 @@ class LatentsCollectionOutput(BaseInvocationOutput):
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latents: list[LatentsField] = OutputField(
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default_factory=list,
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description=FieldDescriptions.latents,
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ui_type_hint=UITypeHint.LatentsCollection,
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ui_type=UIType.LatentsCollection,
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)
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@ -315,7 +315,7 @@ class ColorCollectionOutput(BaseInvocationOutput):
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# Outputs
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collection: list[ColorField] = OutputField(
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default_factory=list, description="The output colors", ui_type_hint=UITypeHint.ColorCollection
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default_factory=list, description="The output colors", ui_type=UIType.ColorCollection
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)
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@ -361,7 +361,7 @@ class ConditioningCollectionOutput(BaseInvocationOutput):
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collection: list[ConditioningField] = OutputField(
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default_factory=list,
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description="The output conditioning tensors",
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ui_type_hint=UITypeHint.ConditioningCollection,
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ui_type=UIType.ConditioningCollection,
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)
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@ -7,7 +7,7 @@ from pydantic import validator
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from invokeai.app.invocations.primitives import StringCollectionOutput
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from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, UITypeHint, tags, title
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from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, UIType, tags, title
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@title("Dynamic Prompt")
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@ -41,7 +41,7 @@ class PromptsFromFileInvocation(BaseInvocation):
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type: Literal["prompt_from_file"] = "prompt_from_file"
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# Inputs
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file_path: str = InputField(description="Path to prompt text file", ui_type_hint=UITypeHint.FilePath)
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file_path: str = InputField(description="Path to prompt text file", ui_type=UIType.FilePath)
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pre_prompt: Optional[str] = InputField(
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default=None, description="String to prepend to each prompt", ui_component=UIComponent.Textarea
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)
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@ -9,7 +9,7 @@ from .baseinvocation import (
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InputField,
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InvocationContext,
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OutputField,
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UITypeHint,
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UIType,
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tags,
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title,
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)
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@ -46,7 +46,7 @@ class SDXLModelLoaderInvocation(BaseInvocation):
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# Inputs
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model: MainModelField = InputField(
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description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type_hint=UITypeHint.SDXLMainModel
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description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type=UIType.SDXLMainModel
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)
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# TODO: precision?
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@ -133,7 +133,7 @@ class SDXLRefinerModelLoaderInvocation(BaseInvocation):
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model: MainModelField = InputField(
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description=FieldDescriptions.sdxl_refiner_model,
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input=Input.Direct,
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ui_type_hint=UITypeHint.SDXLRefinerModel,
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ui_type=UIType.SDXLRefinerModel,
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)
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# TODO: precision?
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@ -17,7 +17,7 @@ from ..invocations.baseinvocation import (
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InputField,
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InvocationContext,
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OutputField,
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UITypeHint,
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UIType,
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)
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# in 3.10 this would be "from types import NoneType"
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@ -179,7 +179,7 @@ class IterateInvocationOutput(BaseInvocationOutput):
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type: Literal["iterate_output"] = "iterate_output"
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item: Any = OutputField(
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description="The item being iterated over", title="Collection Item", ui_type_hint=UITypeHint.CollectionItem
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description="The item being iterated over", title="Collection Item", ui_type=UIType.CollectionItem
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)
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@ -190,7 +190,7 @@ class IterateInvocation(BaseInvocation):
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type: Literal["iterate"] = "iterate"
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collection: list[Any] = InputField(
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description="The list of items to iterate over", default_factory=list, ui_type_hint=UITypeHint.Collection
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description="The list of items to iterate over", default_factory=list, ui_type=UIType.Collection
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)
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index: int = InputField(description="The index, will be provided on executed iterators", default=0, ui_hidden=True)
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@ -203,7 +203,7 @@ class CollectInvocationOutput(BaseInvocationOutput):
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type: Literal["collect_output"] = "collect_output"
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collection: list[Any] = OutputField(
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description="The collection of input items", title="Collection", ui_type_hint=UITypeHint.Collection
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description="The collection of input items", title="Collection", ui_type=UIType.Collection
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)
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@ -214,7 +214,7 @@ class CollectInvocation(BaseInvocation):
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item: Any = InputField(
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description="The item to collect (all inputs must be of the same type)",
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ui_type_hint=UITypeHint.CollectionItem,
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ui_type=UIType.CollectionItem,
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title="Collection Item",
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input=Input.Connection,
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)
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@ -439,9 +439,9 @@ export const getFieldType = (
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): FieldType => {
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let fieldType = '';
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const { ui_type_hint } = schemaObject;
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if (ui_type_hint) {
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fieldType = ui_type_hint;
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const { ui_type } = schemaObject;
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if (ui_type) {
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fieldType = ui_type;
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} else if (!schemaObject.type) {
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// console.log('refObject', schemaObject);
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// if schemaObject has no type, then it should have one of allOf, anyOf, oneOf
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@ -493,13 +493,13 @@ export const buildInputFieldTemplate = (
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const fieldType = getFieldType(fieldSchema);
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// console.log('input fieldType', fieldType);
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const { input, ui_hidden, ui_component, ui_type_hint } = fieldSchema;
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const { input, ui_hidden, ui_component, ui_type } = fieldSchema;
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const extra = {
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input,
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ui_hidden,
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ui_component,
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ui_type_hint,
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ui_type,
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required: nodeSchema.required?.includes(name) ?? false,
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};
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@ -1803,7 +1803,7 @@ export type components = {
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* @description The nodes in this graph
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*/
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nodes?: {
|
||||
[key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
|
||||
[key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
|
||||
};
|
||||
/**
|
||||
* Edges
|
||||
@ -1846,7 +1846,7 @@ export type components = {
|
||||
* @description The results of node executions
|
||||
*/
|
||||
results: {
|
||||
[key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
|
||||
[key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
|
||||
};
|
||||
/**
|
||||
* Errors
|
||||
@ -5938,12 +5938,12 @@ export type components = {
|
||||
*/
|
||||
Input: "connection" | "direct" | "any";
|
||||
/**
|
||||
* UITypeHint
|
||||
* UIType
|
||||
* @description Type hints for the UI.
|
||||
* If a field should be provided a data type that does not exactly match the python type of the field, use this to provide the type that should be used instead. See the node development docs for detail on adding a new field type, which involves client-side changes.
|
||||
* @enum {string}
|
||||
*/
|
||||
UITypeHint: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
|
||||
UIType: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
|
||||
/**
|
||||
* UIComponent
|
||||
* @description The type of UI component to use for a field, used to override the default components, which are inferred from the field type.
|
||||
@ -5961,7 +5961,7 @@ export type components = {
|
||||
input: components["schemas"]["Input"];
|
||||
/** Ui Hidden */
|
||||
ui_hidden: boolean;
|
||||
ui_type_hint?: components["schemas"]["UITypeHint"];
|
||||
ui_type?: components["schemas"]["UIType"];
|
||||
ui_component?: components["schemas"]["UIComponent"];
|
||||
};
|
||||
/**
|
||||
@ -5974,26 +5974,20 @@ export type components = {
|
||||
_OutputField: {
|
||||
/** Ui Hidden */
|
||||
ui_hidden: boolean;
|
||||
ui_type_hint?: components["schemas"]["UITypeHint"];
|
||||
ui_type?: components["schemas"]["UIType"];
|
||||
};
|
||||
/**
|
||||
* ControlNetModelFormat
|
||||
* StableDiffusion2ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusionOnnxModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusionOnnxModelFormat: "olive" | "onnx";
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusionXLModelFormat
|
||||
* @description An enumeration.
|
||||
@ -6001,11 +5995,17 @@ export type components = {
|
||||
*/
|
||||
StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion2ModelFormat
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* ControlNetModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
};
|
||||
responses: never;
|
||||
parameters: never;
|
||||
@ -6116,7 +6116,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
|
||||
"application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -6153,7 +6153,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
|
||||
"application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user