ComfyUI  >  Nodes  >  ComfyMath >  Vec2ToScalarUnaryOperation

ComfyUI Node: Vec2ToScalarUnaryOperation

Class Name

CM_Vec2ToScalarUnaryOperation

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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Vec2ToScalarUnaryOperation Description

Converts 2D vector to scalar value for mathematical operations.

Vec2ToScalarUnaryOperation:

The CM_Vec2ToScalarUnaryOperation node is designed to perform unary operations on 2D vectors (Vec2) and convert the result into a scalar (float) value. This node is particularly useful for mathematical and geometric computations where you need to derive a single scalar value from a vector, such as calculating the length or magnitude of the vector. By leveraging predefined operations, this node simplifies complex vector manipulations, making it easier for you to integrate these calculations into your AI art projects.

Vec2ToScalarUnaryOperation Input Parameters:

op

The op parameter specifies the unary operation to be performed on the input vector. It accepts a list of predefined operations, each corresponding to a specific mathematical function. The available operations are defined in the VEC_TO_SCALAR_UNARY_OPERATION dictionary. This parameter is crucial as it determines the type of computation that will be applied to the vector. There are no minimum or maximum values, but the options are limited to the keys available in the VEC_TO_SCALAR_UNARY_OPERATION dictionary.

a

The a parameter represents the input 2D vector (Vec2) on which the unary operation will be performed. This vector is defined by two floating-point numbers, typically representing coordinates or other vector quantities. The accuracy and relevance of the output scalar value depend on the values provided in this vector. The default value for this parameter is defined by DEFAULT_VEC2.

Vec2ToScalarUnaryOperation Output Parameters:

FLOAT

The output of this node is a single scalar value (FLOAT) resulting from the specified unary operation on the input vector. This scalar value can represent various quantities depending on the operation chosen, such as the magnitude of the vector or other derived scalar metrics. The output is essential for further mathematical computations or for use in other nodes that require scalar inputs.

Vec2ToScalarUnaryOperation Usage Tips:

  • Ensure that the input vector a is correctly defined and relevant to the operation you intend to perform. For example, if you are calculating the magnitude, the vector should represent a meaningful quantity.
  • Familiarize yourself with the available operations in the VEC_TO_SCALAR_UNARY_OPERATION dictionary to choose the most appropriate one for your task.

Vec2ToScalarUnaryOperation Common Errors and Solutions:

Invalid operation key

  • Explanation: The op parameter contains a key that is not defined in the VEC_TO_SCALAR_UNARY_OPERATION dictionary.
  • Solution: Verify that the op parameter is set to one of the valid keys listed in the VEC_TO_SCALAR_UNARY_OPERATION dictionary.

Incorrect vector format

  • Explanation: The input vector a is not in the correct format or does not contain two floating-point numbers.
  • Solution: Ensure that the input vector a is a tuple or list containing exactly two floating-point numbers.

Division by zero

  • Explanation: The chosen operation involves a division, and the input vector a contains values that lead to a division by zero.
  • Solution: Check the values in the input vector a and ensure they do not cause a division by zero in the selected operation.

Vec2ToScalarUnaryOperation Related Nodes

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