mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
67 lines
1.9 KiB
Python
67 lines
1.9 KiB
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, InvocationConfig, InvocationContext
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from .math import FloatOutput, IntOutput
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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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class Config(InvocationConfig):
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schema_extra = {
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"ui": {"tags": ["param", "integer"], "title": "Integer Parameter"},
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}
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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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class Config(InvocationConfig):
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schema_extra = {
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"ui": {"tags": ["param", "float"], "title": "Float Parameter"},
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}
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def invoke(self, context: InvocationContext) -> FloatOutput:
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return FloatOutput(param=self.param)
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class StringOutput(BaseInvocationOutput):
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"""A string output"""
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type: Literal["string_output"] = "string_output"
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text: str = Field(default=None, description="The output string")
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class ParamStringInvocation(BaseInvocation):
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"""A string parameter"""
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type: Literal["param_string"] = "param_string"
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text: str = Field(default="", description="The string value")
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class Config(InvocationConfig):
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schema_extra = {
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"ui": {"tags": ["param", "string"], "title": "String Parameter"},
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}
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def invoke(self, context: InvocationContext) -> StringOutput:
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return StringOutput(text=self.text)
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