Houdini 20.5 Nodes Copernicus nodes

Fractal Noise 3D Copernicus node

Generates fractal noise from 3D locations.

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This node generates a noise pattern using a fractal approach. The same underlying noise is sampled at increasing frequencies and mixed together. Unlike the Fractal Noise COP, the source location is the pixel’s world coordinates instead of its image coordinates.

For example, use this node to create cloudy, smoky, or TV static patterns.

Parameters

Signature

The layer type that the source accepts.

See Signatures for more information.

Range

Amplitude

The scale of the noise, which the node applies before the Center adjustment.

Note

Layers can store negative numbers and values above one, so this may result in out-of-bounds values. You can use a Clamp COP to enforce the range afterwards.

Center

The center of the output noise range.

Contrast

The amount of contrast to apply to the noise before the Amplitude and Center parameters. You can use this parameter to make the noise more extreme without exceeding the 0 to 1 range.

Pattern

Noise Type

The underlying noise function that’s iteratively sampled to generate the fractal noise.

Simplex

Create Perlin noise on a simplex grid.

Perlin

Create Perlin noise on a regular grid. This type of noise generates more natural results.

Worley Cellular F1

Create Worley noise using its primary distance value, which is the distance to the closest worley point. This generates a cell-like noise.

Worley Cellular F2-F1

Create Worley noise using the difference between its second closest and closest points. This generates a cell border-like noise.

White (Random)

Create white noise where each noise element is given a constant but random value.

Per Component

Computes a separate noise for each channel of the output. If off, the output is grayscale for mono and non-mono layers.

Metric

When Noise Type is Worley Cellular F1 or Worley Cellular F2-F1, this is how to define different metrics for computing the distance to a point.

Euclidean

The usual L2 distance metric, which results in circular shapes.

Manhattan

The maximum of the two axial distances, which results in diamond shapes.

Chebyshev

The sum of the two axial distances, which results in square shapes.

Element Size

The size (in image coordinates) of the basic element of the noise. You can turn on the Per-Component Controls button to adjust this further using the Element Scale parameter.

Element Scale

When the Per-Component Controls button is on, this is the per-axis scaling of the element size for anistropic noise.

Offset

The offset of the noise function in world coordinates.

Fractal

Max Octaves

The amount of times to scale add together the noise.

Lacunarity

The amount to scale the noise for each iteration.

Roughness

The amount to scale the amplitude of each successive noise.

Inputs

size_ref

A representative layer that determines the size of the output image and controls the metadata.

pos

An optional layer to use for the position of each pixel at which to evaluate the noise.

Outputs

noise

The computed noise.

See also

Copernicus nodes