ComfyUI  >  Nodes  >  ComfyMath >  FloatBinaryCondition

ComfyUI Node: FloatBinaryCondition

Class Name

CM_FloatBinaryCondition

Category
math/float
Author
evanspearman (Account age: 4247 days)
Extension
ComfyMath
Latest Updated
8/27/2023
Github Stars
0.1K

How to Install ComfyMath

Install this extension via the ComfyUI Manager by searching for  ComfyMath
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyMath in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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FloatBinaryCondition Description

Evaluate binary conditions between floating-point numbers for comparisons like equality, inequality, and relational checks.

FloatBinaryCondition:

The CM_FloatBinaryCondition node is designed to evaluate binary conditions between two floating-point numbers. This node is particularly useful when you need to compare two float values and determine if a specific condition is met, such as equality, inequality, or relational comparisons. By leveraging this node, you can easily incorporate logical checks into your workflows, enabling more dynamic and responsive behavior in your AI art projects. The node simplifies the process of performing these comparisons, ensuring that you can focus on the creative aspects of your work without getting bogged down by complex mathematical operations.

FloatBinaryCondition Input Parameters:

op

The op parameter specifies the binary condition to be evaluated between the two float values. It accepts a list of predefined operations, including "Eq" (equal to), "Neq" (not equal to), "Gt" (greater than), "Gte" (greater than or equal to), "Lt" (less than), and "Lte" (less than or equal to). This parameter determines the type of comparison that will be performed, and selecting the appropriate operation is crucial for achieving the desired logical outcome.

a

The a parameter represents the first floating-point number to be compared. This value is one of the operands in the binary condition and plays a critical role in determining the result of the comparison. The value of a can be any valid float, and it should be chosen based on the specific requirements of your comparison.

b

The b parameter represents the second floating-point number to be compared. Similar to the a parameter, this value is the other operand in the binary condition. The value of b can be any valid float, and it should be selected to complement the a parameter in the context of the chosen binary operation.

FloatBinaryCondition Output Parameters:

BOOL

The output parameter BOOL is a boolean value that indicates the result of the binary condition evaluation. If the specified condition between the two float values a and b is met, the output will be True; otherwise, it will be False. This output is essential for making decisions based on the comparison, allowing you to control the flow of your AI art project based on logical conditions.

FloatBinaryCondition Usage Tips:

  • Ensure that the op parameter is set to the correct binary condition that matches your intended comparison to avoid unexpected results.
  • Use the a and b parameters to input the specific float values you want to compare, and verify that they are within the expected range for your application.

FloatBinaryCondition Common Errors and Solutions:

Invalid operation selected

  • Explanation: The op parameter was set to a value that is not recognized as a valid binary condition.
  • Solution: Verify that the op parameter is set to one of the predefined operations: "Eq", "Neq", "Gt", "Gte", "Lt", or "Lte".

Division by zero

  • Explanation: Although not directly related to this node, if the a or b parameters are used in subsequent operations that involve division, a division by zero error may occur.
  • Solution: Ensure that neither a nor b is zero if they are to be used in division operations later in your workflow.

FloatBinaryCondition Related Nodes

Go back to the extension to check out more related nodes.
ComfyMath
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