InvokeAI/invokeai/app/invocations/params.py

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# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
from typing import Literal
from pydantic import Field
from .baseinvocation import (BaseInvocation, BaseInvocationOutput,
InvocationConfig, InvocationContext)
from .math import FloatOutput, IntOutput
# Pass-through parameter nodes - used by subgraphs
class ParamIntInvocation(BaseInvocation):
"""An integer parameter"""
#fmt: off
type: Literal["param_int"] = "param_int"
a: int = Field(default=0, description="The integer value")
#fmt: on
class Config(InvocationConfig):
schema_extra = {
"ui": {
"tags": ["param", "integer"],
"title": "Integer Parameter"
},
}
def invoke(self, context: InvocationContext) -> IntOutput:
return IntOutput(a=self.a)
class ParamFloatInvocation(BaseInvocation):
"""A float parameter"""
#fmt: off
type: Literal["param_float"] = "param_float"
param: float = Field(default=0.0, description="The float value")
#fmt: on
class Config(InvocationConfig):
schema_extra = {
"ui": {
"tags": ["param", "float"],
"title": "Float Parameter"
},
}
def invoke(self, context: InvocationContext) -> FloatOutput:
return FloatOutput(param=self.param)
class StringOutput(BaseInvocationOutput):
"""A string output"""
type: Literal["string_output"] = "string_output"
text: str = Field(default=None, description="The output string")
class ParamStringInvocation(BaseInvocation):
"""A string parameter"""
type: Literal['param_string'] = 'param_string'
text: str = Field(default='', description='The string value')
class Config(InvocationConfig):
schema_extra = {
"ui": {
"tags": ["param", "string"],
"title": "String Parameter"
},
}
def invoke(self, context: InvocationContext) -> StringOutput:
return StringOutput(text=self.text)