Date: Fri, 29 Mar 2024 01:25:43 +0000 (UTC)
Message-ID: <800064471.201.1711675543650@ip-10-0-0-233.us-west-2.compute.internal>
Subject: Exported From Confluence
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Like all texture style nodes, this node takes a manifold that de=
scribes either a 2D or 3D domain to apply a Worley noise texture to. The de=
fault beahavior, if no mainfold is attached, is to apply over P in 3D. This=
node computes Worley noise, as described by Steven Worley.
Surface Position
The noise can be computed based on the Current Position=
or the Undisplaced Position (the position of the surface =
prior to displacement).
If you want your displacement and shading patterns to match, use the Undisplaced Position.
Frequency
Controls the size of the cells. Higher frequencies make smaller cells.=
p>
Distance Metric
The means to measure distances to neighboring cells. Manhattan distance =
gives more rectangular shapes and Euclidian distance gives more spherical s=
hapes.
Euclidean
Computes the euclidean distance to=
the nearest points. It looks a bit more pointy than Squared Euclidean dist=
ance.
Euclidean Squared=
span>
Computes the squared euclidean distance to the n=
earest points. It looks rounder than pure Euclidean distance and more organ=
ic.
=
Manhattan
Inspired by the grid-like organisati=
on of Manhattan, this is distance to the nearest points when you can only t=
ravel around the cell's boundaries.
Ch=
ebyshev
Named after Pafnutty Chebyshev, it is also known as the Chessboa=
rd Distance. It is somewhat similar to the Manhattan distance, but with 45 =
degrees rotation.=
p>
Minkowski=
Minkowski is a generalisation of both euclidean and =
Manhattan distance. The exponent will make the pattern transition from Eucl=
idian to Manhattan.=
Jitter
Controls the distortion of the cells.
<=
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C1
Multiplier for the distances to the first feature.
C2
Multiplier for the distance to the second feature.
Minkowski Exponent
Makes the distance transition smoothly from Manhattan (1.0) to Euclidean=
(2.0) to weird un-explored territories.
C1
C2
Shape
Modifies the computed distances to create different shapes. The example =
below uses c1 =3D 1.0 and c2 =3D 0.0.
=
span>
Clamp
Causes resulting distances to be clamped to the range 0.0 to 1.0.
c1: 1.0 c2: -0.95 distancemetric: Euclidean
Invert
Inverts the final pattern.
Random Scale
This will randomly scale the features' amplitude and give a slightly mor=
e regular appearance.
Random Scale Center
This is applying a an offset to the signal before applying the random sc=
ale. Use this to create more variations.
Manifold
The manifold over which to apply the noise. (The default is P).
You can connect a 3D or 2D manifold.
Adjust Output
Color Scale
A multiplier for the color values in a texture, can be used to adjust br=
ightness or manipulate individual color channels
Color Offset
Apply an offset to the result, shifting the colors of the result
Alpha Scale
A multiplier for the alpha channel, useful when the alpha is used to dri=
ve a parameter
Alpha Offset
An offset for the alpha channel, useful when the alpha is used to drive =
a parameter
Output Parameters=
h2>
resultF
The result of Worley noise texture.
resultRGB
The texture as a monochrome color.
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