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Palette From Image

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Color

Automatically extracts the dominant colors from any image, turning a reference photo into a usable palette.

Palette From Image uses k-means clustering to find the most prominent colors in an image. Specify how many colors to extract (2–32), and the algorithm finds the best representatives. The output is a Palette that can be wired directly into Palette Remap.

This is useful when you want to match an existing color scheme. Feed in a brand reference, a photo, or any image with the colors you want.

Parameters

Section titled “Parameters”

Color

ColorsInteger
Default: 8 Range: 2–32

Number of dominant colors to extract (k-means)

AttemptsInteger
Default: 3 Range: 1–10

K-means restarts; higher=better selection, slower

Output

Sort ByChoice
Default: Hue

Output order

  • HueSort extracted colors by hue — creates a rainbow-like order.
  • LuminanceSort from darkest to lightest color.
  • FrequencySort by how common each color is — most dominant color first.

Usage Tips

Section titled “Usage Tips”
  • Use more attempts for better color selection. The algorithm runs k-means multiple times and picks the best result.
  • Sort by Hue for a natural rainbow order; sort by Frequency to see the most common colors first.
  • Feed in a brand guide screenshot to automatically extract brand colors for variant generation.
Section titled “Related Nodes”