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Flexible default value handler for subgraphs, ensuring workflow continuity and robustness with fallback values.
The VIV_Default
node is designed to provide a flexible and straightforward way to handle default values within a subgraph. Its primary purpose is to ensure that a default value is returned when no specific input is provided, thereby maintaining the continuity and robustness of the workflow. This node is particularly useful in scenarios where optional inputs may or may not be available, allowing you to define a fallback value that the system can rely on. By using this node, you can streamline your workflow and avoid potential disruptions caused by missing inputs, ensuring a smoother and more predictable execution of your AI art generation processes.
The default
parameter is a required input that specifies the fallback value to be used when no other input is provided. This parameter ensures that the node always has a value to return, thereby preventing any interruptions in the workflow. The type of this parameter is flexible, allowing you to use any data type that suits your needs. There are no specific minimum, maximum, or default values for this parameter, as it is entirely dependent on the context of your workflow.
The inp
parameter is an optional input that, if provided, will override the default
value. This allows for dynamic input handling within your workflow, where the node can adapt based on the availability of this input. If inp
is not provided, the node will fall back to using the default
value. Similar to the default
parameter, the type of this parameter is flexible, accommodating any data type required by your workflow. There are no specific minimum, maximum, or default values for this parameter.
The result
parameter is the output of the VIV_Default
node. It returns either the inp
value if it is provided or the default
value if inp
is not available. This output ensures that the node always produces a value, thereby maintaining the integrity and flow of the workflow. The type of this output is flexible, matching the type of the input parameters.
default
parameter to set a fallback value that ensures your workflow continues smoothly even when optional inputs are not available.inp
parameter to dynamically override the default
value when specific inputs are provided, allowing for more flexible and adaptive workflows.default
and inp
are compatible to avoid type mismatches and potential errors.default
and inp
parameters are not compatible.default
and inp
are of the same or compatible types to avoid this error.default
parameter is not provided, which is required for the node to function.default
parameter to ensure the node operates correctly.© Copyright 2024 RunComfy. All Rights Reserved.