mirror of
https://github.com/invoke-ai/InvokeAI
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29 lines
937 B
Python
29 lines
937 B
Python
# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
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from typing import Literal
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from pydantic import Field
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from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
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from .math import IntOutput, FloatOutput
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# Pass-through parameter nodes - used by subgraphs
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class ParamIntInvocation(BaseInvocation):
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"""An integer parameter"""
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#fmt: off
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type: Literal["param_int"] = "param_int"
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a: int = Field(default=0, description="The integer value")
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#fmt: on
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def invoke(self, context: InvocationContext) -> IntOutput:
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return IntOutput(a=self.a)
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class ParamFloatInvocation(BaseInvocation):
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"""A float parameter"""
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#fmt: off
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type: Literal["param_float"] = "param_float"
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param: float = Field(default=0.0, description="The float value")
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#fmt: on
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def invoke(self, context: InvocationContext) -> FloatOutput:
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return FloatOutput(param=self.param)
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