Poline

What It Does

The Poline node generates a smooth color palette between multiple anchor colors using the Poline algorithm. It creates sophisticated color progressions by interpolating through 3D color space with customizable distribution functions. Read more about Poline.

Inputs

Name	Description	Type	Required
Anchor Colors	Array of colors to interpolate between	List of Colors	Yes
Num Points	Number of colors to generate in the palette	Number	No
Inverted Lightness	Whether to invert the lightness interpolation	Yes/No	No
Position Fn X	Function for color distribution in the X dimension	String	No
Position Fn Y	Function for color distribution in the Y dimension	String	No
Position Fn Z	Function for color distribution in the Z dimension	String	No
Hue Shift	Amount to shift all hues in the resulting palette	Number	No

Outputs

Name	Description	Type
Value	Array of generated colors in the palette	List of Colors

How to Use It

1. Drag the Poline node into your graph.

2. Connect at least two colors to the "Anchor Colors" input. (You can create an array of colors using the Arrify node).
3. Set "Num Points" to control how many colors are in the final palette (default: 4).

4. Optionally customize the position functions and other parameters. Read more about these parameters.
5. The output will be an array of colors creating a smooth palette between the anchor colors. So if the input is two colors and the "Num Points" is 4, the output will be an array of six colors.

Tips

• Different position functions create different distribution patterns (sinusoidal is the default).

• More anchor colors create more complex, multi-dimensional palettes.

• Try inverting lightness to create interesting contrast variations.

See Also

• Color Wheel: For generating simpler color palettes based on color wheel relationships.
• Range: For linear interpolation between two colors.
• Scale: For creating color scales with customizable easing.

Use Cases

• Advanced Color Systems: Create sophisticated, multi-dimensional color palettes.

• Data Visualization: Generate perceptually uniform color scales for complex data.

• Design Systems: Create related but distinct color sets for different UI components.