Like all texture style nodes, this node takes a manifold that describes either a 2D or 3D domain to apply a Worley noise texture to. The default beahaviorbehavior, if no mainfold manifold is attached, is to apply over P in 3D. This node computes Worley noise, as described by Steven Worley.
Inspired by the grid-like organisation organization of Manhattan, this is the distance to the nearest points when you can only travel around the cell's boundaries.
Named after Pafnutty Chebyshev, it is also known as the Chessboard Distance. It is somewhat similar to the Manhattan distance, but with 45 degrees rotation.
Minkowski is a generalisation generalization of both euclidean and Manhattan distance. The exponent will make the pattern transition from Euclidian to Manhattan.
Modifies the computed distances to create different shapes. The example below uses c1 = 1.0 and c2 = 0.0.
Causes resulting distances to be clamped to the range 0.0 to 1.0.
A multiplier for the color values in a texture , can be used to adjust brightness or manipulate individual color channels
Apply an offset to the result, shifting the colors of the result
A multiplier for the alpha channel, useful when the alpha is used to drive a parameter
Alpha OffsetAn offset for the alpha channel, useful when the alpha is used to drive a parameter
Scalar Float value
Float Offset value
The result of Worley noise texture.