ComfyUI Node: FloatUnaryCondition

FloatUnaryCondition:

The CM_FloatUnaryCondition node is designed to evaluate a single floating-point number against a specified condition, returning a boolean result. This node is particularly useful for scenarios where you need to check properties of a float, such as whether it is zero, positive, negative, or meets other specific criteria. By leveraging this node, you can easily incorporate conditional logic into your AI art workflows, enabling more dynamic and responsive designs. The node simplifies the process of performing unary condition checks on floating-point numbers, making it accessible even to those without a deep technical background.

FloatUnaryCondition Input Parameters:

op

The op parameter specifies the unary condition to be applied to the input float. It accepts a list of predefined conditions such as IsZero, IsPositive, IsNegative, IsNonZero, IsPositiveInfinity, IsNegativeInfinity, IsNaN, IsFinite, IsInfinite, IsEven, and IsOdd. Each condition checks a specific property of the float and returns a boolean result. For example, IsZero checks if the float is zero, while IsPositive checks if it is greater than zero. This parameter is crucial as it determines the type of check performed on the input float.

a

The a parameter represents the floating-point number to be evaluated against the specified condition. This input is a single float value that will be checked according to the condition defined by the op parameter. The value of a can be any valid floating-point number, and its properties will be assessed based on the chosen condition. This parameter is essential as it provides the actual data for the condition check.

FloatUnaryCondition Output Parameters:

BOOL

The output parameter BOOL is a boolean value that indicates the result of the condition check. If the condition specified by the op parameter is met by the input float a, the output will be True; otherwise, it will be False. This boolean result can be used to drive further logic in your AI art workflows, enabling conditional branching and decision-making based on the properties of floating-point numbers.

FloatUnaryCondition Usage Tips:

• Use the IsNaN condition to filter out invalid or undefined floating-point numbers in your data.
• Combine multiple CM_FloatUnaryCondition nodes to create complex conditional logic, such as checking if a number is both positive and finite.

FloatUnaryCondition Common Errors and Solutions:

Invalid condition specified

• Explanation: The op parameter was set to a condition that is not recognized.
• Solution: Ensure that the op parameter is set to one of the predefined conditions such as IsZero, IsPositive, IsNegative, etc.

Input is not a float

• Explanation: The a parameter was provided with a value that is not a floating-point number.
• Solution: Verify that the input for the a parameter is a valid float. If necessary, convert the input to a float before passing it to the node.