Image To Automation

Overview

Converts image brightness into a time curve (AutomationCurve). It treats the horizontal image axis as time and repurposes the brightness pattern as changes in volume or pitch. This makes gradients and noise useful as curve material.

Usage tips

• Reading a noise image quickly creates a randomly fluctuating curve; reading a gradient creates a monotonic rising or falling curve. This is faster than writing automation_curve JSON.
• A common destination is the pitch or gain curve of audio_oscillator.
• To draw an exact curve shape, path_to_automation provides a more direct path-based method.

Related nodes

• path_to_automation — the path-drawn counterpart
• automation_curve — preset and JSON version
• audio_oscillator — a common curve destination
• noise_generate / coordinates — generate the image to read

Converts image brightness or channel values into a time-based AutomationCurve.

Ports

Parameters

• duration: duration of the curve
• samples: number of curve samples
• axis: Horizontal / Vertical
• channel: Brightness / Alpha / Red / Green / Blue
• output_min: output value for curve value 0
• output_max: output value for curve value 1

Notes

Horizontal scans left to right and Vertical scans top to bottom. Each sample averages every pixel on the perpendicular row or column. Brightness reads luminance × alpha; Alpha reads alpha directly. Red, Green, and Blue also read hidden RGB from fully transparent pixels. A missing or mistyped required image is an evaluation error rather than a valid zero curve. Known legacy lowercase enum values remain accepted, while any other unknown value is an error.