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    Cellular Noise

    Menu Path : Operator > Noise > Cellular Noise

    The Cellular Noise Operator allows you to specify coordinates to sample a noise value within a specified range in one, two, or three dimensions. Cellular noise (also known as “Worley noise”) creates distinct cell-like patterns. To do this, it scatters random points then calculates the distance between the nearest ones.


    Three cubes representing one, two, and three dimensional noise with cell-like patterns.

    You can use this Operator to introduce variety to your particle attributes. A common use case is to use each particle’s position as a coordinate to sample the noise to output a new color, velocity, or position value.

    Operator settings

    Property Type Description
    Dimensions Enum Specify whether the noise is one, two, or three dimensional.
    Type Enum Specify what type of noise to use.

    Operator properties

    Input Type Description
    Coordinate Float
    Vector2
    Vector3
    The coordinate in the noise field to sample from. The Type changes to match the number of Dimensions.

    Frequency Float The period in which Unity samples the noise. A higher frequency results in more frequent noise change.
    Octaves Int The number of layers of noise. More octaves create a more varied look but are also more resource-intensive to calculate.
    Roughness Float The scaling factor Unity applies to each octave. Unity only uses roughness when Octaves is set to a value higher than 1.
    Lacunarity Float The rate of change of the frequency for each successive octave. A lacunarity value of 1 results in each octave having the same frequency.
    Range Vector2 The range within which Unity calculates the noise. The noise stays between the X and Y value you specify here, where X is the minimum and Y is the maximum.
    Output Type Description
    Noise Float The noise value at the coordinate you specify.
    Derivatives Float
    Vector2
    Vector3
    The rate of change of the noise for every dimension.

    The Type changes to match the number of Dimensions.
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