Documentation for ComfyUI Node: LayerUtility: GetMainColors

Overview

The LayerUtility: GetMainColors node is designed to analyze an image and extract its main colors using the K-means clustering algorithm. This process helps in identifying the prominent colors in an image, which can be useful for various creative and analytical applications.

Functionality

The GetMainColors node processes each image to determine its dominant colors. It outputs an image showing the color palette and provides the RGB values of the top five colors.

Inputs

• Image:

  • Type: IMAGE
  • Description: The input image whose main colors need to be extracted.

• K-means Algorithm:

  • Type: Selection
  • Options: "lloyd", "elkan"
  • Description: The algorithm used for K-means clustering to determine the main colors.

Outputs

• Preview Image:

  • Type: IMAGE
  • Description: An output image that visually represents the main colors in a palette format.

• Color 1, Color 2, Color 3, Color 4, Color 5:

  • Type: STRING
  • Description: The RGB values of the top five colors in hexadecimal format.

Usage in ComfyUI Workflows

The LayerUtility: GetMainColors node can be utilized in various ComfyUI workflows where color analysis is necessary. For example:

1. Design and Graphics Workflows:

   • Use this node to generate color palettes for UI/UX design, graphic design projects, or web development.

2. Art and Creativity:

   • Artists and creators can use the extracted colors for inspiration in their artwork or to ensure color harmony in their projects.

3. Image Processing:

   • In workflows dealing with assessing image content or modifications, understanding the main colors can aid in tasks like image classification or adjusting image tones.

Special Features and Considerations

• K-means Clustering:

  • The node employs K-means clustering, a sophisticated method for color extraction, enabling accurate and efficient identification of dominant colors.

• Output Customization:

  • The node provides both a visual palette and precise color codes, which can be directly used in other software tools or web applications.

• Font and Display:

  • The generated color palette image includes RGB and HSB values for each color, displayed with contrast-optimized text to ensure readability.

• Adaptability:

  • Users can choose between different K-means algorithms ("lloyd" or "elkan") based on their specific requirements for speed and accuracy.

This node provides a centralized solution to analyze and extract prominent colors from images, enhancing efficiency in tasks where color analysis plays a crucial role.