Creates an image where each pixel uses periodic noise to blend between 2 colors.
B— The colors to randomly blend.
Center— Moves the noise in 2D.
Time— The time at which to evaluate the image. To animate the noise, connect a continuously increasing number, such as the output of the Fire on Display Refresh node’s
Refreshed at Timeport.
Scale— The size of the noise pattern. At smaller values, the noise ripples are more closely packed together.
Type— Whether to render gradient (soft, Perlin-style) noise, value noise, cellular (ridged, Worley/Voronoi-style) noise, or a grid of dots.
Grid— Whether the noise grid is rectangular or triangular.
Tile— Whether to generate an image that can be seamlessly tiled (left edge matches right edge, and top edge matches bottom edge).
Range— Focus on part of the output value range.
Range Mode— How to determine the color of values outside
Range, then normalized to be between
Rangewrap around from
Band vice-versa, producing sharp edges at
Rangebounce back toward the opposite end of the range, producing smooth edges at
Levels(Octaves) — How many layers of noise to blend together.
Roughness(Persistence) — How much each level contributes to the composite image. At 1, all noise levels are equal. At 0.5, the second level is half the intensity of the first level, the third level is one quarter the intensity of the first, and so on.
Spacing(Lacunarity) — How much smaller each level is. At 2, the second level is half the size of the first, the third level is one quarter the size of the first, and so on.
Width— The image’s width, in pixels.
Height— The image’s height, in pixels.
Keywords: Voronoi, Worley, cellular, circles, dots, fBm, fractal, fractional Brownian noise, generator, gradient, lacunarity, octaves, ovals, perlin, persistence, point, polka, random, simplex, value