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Facilitates decision-making in AI art projects by evaluating logical conditions between two inputs for dynamic flow control.
The SDVN Logic node is designed to facilitate decision-making processes within your AI art projects by evaluating logical conditions between two inputs. This node allows you to compare two values using a variety of logical operators, such as equality, inequality, and membership, among others. By doing so, it enables you to dynamically control the flow of your creative pipeline based on specific conditions. The primary benefit of this node is its ability to automate decision-making, which can significantly enhance the efficiency and flexibility of your workflow. Whether you are comparing numerical values, checking for the presence of an item in a list, or evaluating complex conditions, the SDVN Logic node provides a robust solution for integrating logic-based operations into your artistic endeavors.
This parameter represents the output value that will be returned if the specified logical condition evaluates to true. It can be any data type, allowing you to customize the output based on your specific needs. The flexibility of this parameter ensures that you can tailor the node's behavior to suit a wide range of scenarios.
This parameter is the counterpart to input_true
and represents the output value that will be returned if the logical condition evaluates to false. Like input_true
, it can be any data type, providing you with the ability to define alternative outcomes when the condition is not met.
This parameter is one of the two values to be compared in the logical operation. It can be of any data type, allowing for versatile comparisons. The value of a
plays a crucial role in determining the outcome of the logical evaluation.
Similar to a
, this parameter is the second value involved in the logical comparison. It can also be of any data type, and its value is essential for the logical operation to be performed accurately.
This parameter specifies the logical operation to be performed between a
and b
. It offers a range of options, including "a = b", "a != b", "a > b", "a < b", "a >= b", "a <= b", "a in b", and "a not in b". Each option represents a different type of comparison, allowing you to choose the most appropriate logic for your specific use case.
The output parameter is the result of the logical evaluation. It returns either the input_true
or input_false
value based on whether the specified logical condition is met. This output is crucial for directing the flow of your project, enabling you to implement conditional logic effectively.
logic
parameter.logic
parameter is set to one of the supported operations: "a = b", "a != b", "a > b", "a < b", "a >= b", "a <= b", "a in b", or "a not in b".a
and b
are of incompatible types for the specified logical operation.a
and b
are compatible with the chosen logical operation. For example, ensure that numerical comparisons are performed on numerical values.input_true
, input_false
, a
, b
, and logic
) are correctly specified and not left empty.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.