ComfyUI  >  Nodes  >  ComfyMath >  Vec2BinaryCondition

ComfyUI Node: Vec2BinaryCondition

Class Name

CM_Vec2BinaryCondition

Category
math/vec2
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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Vec2BinaryCondition Description

Evaluate binary condition between 2D vectors, return boolean result based on specified operation.

Vec2BinaryCondition:

The CM_Vec2BinaryCondition node is designed to evaluate a binary condition between two 2-dimensional vectors (Vec2). This node allows you to compare two vectors using a specified operation and returns a boolean result based on the condition. It is particularly useful in scenarios where you need to determine the relationship between two vectors, such as checking if one vector is greater than, less than, or equal to another vector. This node simplifies complex vector comparisons, making it easier to implement conditional logic in your AI art projects.

Vec2BinaryCondition Input Parameters:

op

This parameter specifies the binary condition operation to be applied between the two vectors. The available operations are predefined and can include comparisons such as equality, inequality, greater than, and less than. The exact list of operations can be found in the VEC_BINARY_CONDITIONS dictionary. Choosing the correct operation is crucial as it determines the nature of the comparison between the vectors.

a

This parameter represents the first 2-dimensional vector (Vec2) to be compared. The vector should be provided in the form of a list or array containing two numerical values. This vector serves as one of the operands in the binary condition operation.

b

This parameter represents the second 2-dimensional vector (Vec2) to be compared. Similar to parameter a, this vector should also be provided as a list or array containing two numerical values. This vector serves as the other operand in the binary condition operation.

Vec2BinaryCondition Output Parameters:

BOOL

The output of this node is a boolean value (BOOL). This value indicates the result of the binary condition operation applied to the input vectors a and b. If the condition specified by the op parameter is met, the output will be True; otherwise, it will be False. This boolean result can be used to drive further logic in your AI art workflow.

Vec2BinaryCondition Usage Tips:

  • Ensure that the vectors a and b are correctly formatted as lists or arrays with exactly two numerical values each.
  • Choose the appropriate binary condition operation (op) based on the specific comparison you need to perform between the vectors.
  • Use the boolean output to control conditional branches in your workflow, enabling dynamic and responsive AI art generation.

Vec2BinaryCondition Common Errors and Solutions:

InvalidOperationError

  • Explanation: This error occurs when the specified operation (op) is not found in the VEC_BINARY_CONDITIONS dictionary.
  • Solution: Verify that the op parameter is set to a valid operation from the predefined list in VEC_BINARY_CONDITIONS.

InvalidVectorFormatError

  • Explanation: This error occurs when the input vectors a or b are not formatted correctly as lists or arrays with two numerical values.
  • Solution: Ensure that both a and b are provided as lists or arrays containing exactly two numerical values each.

TypeError

  • Explanation: This error occurs when the input vectors contain non-numeric values or are not properly converted to numpy arrays.
  • Solution: Check that the vectors a and b contain only numerical values and are correctly converted to numpy arrays before the operation.

Vec2BinaryCondition Related Nodes

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