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https://github.com/invoke-ai/InvokeAI
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feat: Add String Param & types to other params
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@ -1,9 +1,12 @@
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# 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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from .baseinvocation import (BaseInvocation, BaseInvocationOutput,
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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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@ -14,6 +17,14 @@ class ParamIntInvocation(BaseInvocation):
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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": {
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"tags": ["param", "integer"],
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"title": "Integer Parameter"
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},
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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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@ -24,5 +35,36 @@ class ParamFloatInvocation(BaseInvocation):
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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": {
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"tags": ["param", "float"],
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"title": "Float Parameter"
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},
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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": {
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"tags": ["param", "string"],
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"title": "String Parameter"
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},
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}
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def invoke(self) -> StringOutput:
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return StringOutput(text=self.text)
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