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Dynamically select between models based on boolean condition for conditional model selection in AI art projects.
The Model Input Switch node is designed to dynamically select between two different models based on a boolean condition. This node is particularly useful when you need to switch between models during runtime without manually changing the configuration. By leveraging this node, you can streamline workflows that require conditional model selection, enhancing flexibility and efficiency in your AI art projects. The primary function of this node is to evaluate a boolean input and return one of the two provided models accordingly, making it an essential tool for scenarios where model selection is contingent on specific conditions or criteria.
This parameter represents the first model that can be selected by the switch. It is one of the two models between which the node will switch based on the boolean condition. The type of this parameter is MODEL
, and it is required for the node to function. The model provided here will be returned if the boolean condition is evaluated as true.
This parameter represents the second model that can be selected by the switch. Similar to model_a
, this parameter is of type MODEL
and is required for the node to function. The model provided here will be returned if the boolean condition is evaluated as false.
This parameter is a boolean value that determines which model will be selected. It is of type BOOLEAN
and is required for the node to function. The boolean parameter has a forceInput
attribute set to true, ensuring that a value must be provided. If the boolean value is true, model_a
will be selected; if false, model_b
will be selected.
The output of this node is a single model, which is of type MODEL
. The specific model returned depends on the evaluation of the boolean input. If the boolean is true, the output will be model_a
; if false, the output will be model_b
. This output is crucial for directing the subsequent workflow to use the appropriate model based on the given condition.
model_a
and model_b
are properly configured and compatible with the rest of your workflow to avoid any runtime issues.TypeError: 'NoneType' object is not subscriptable
model_a
or model_b
) is not provided or is None
.model_a
and model_b
are correctly specified and not None
.ValueError: Invalid boolean value
Model compatibility error
model_a
and model_b
with the rest of your workflow to ensure they can be used interchangeably without issues.© Copyright 2024 RunComfy. All Rights Reserved.