Generate a noise image with the requested width and height, based on the current noise parameters.
Returns the 2D noise value $(D -1,1) at the given position.
Returns the 2D noise value $(D -1,1) at the given position.
Returns the 3D noise value $(D -1,1) at the given position.
Returns the 3D noise value $(D -1,1) at the given position.
Returns the 4D noise value $(D -1,1) at the given position.
Generate a tileable noise image, based on the current noise parameters. Generated seamless images are always square (size x size).
Difference in period between octaves.
Difference in period between octaves.
Number of OpenSimplex noise layers that are sampled to get the fractal noise.
Period of the base octave. A lower period results in a higher-frequency noise (more value changes across the same distance).
Contribution factor of the different octaves. A persistence value of 1 means all the octaves have the same contribution, a value of 0.5 means each octave contributes half as much as the previous one.
Seed used to generate random values, different seeds will generate different noise maps.
var noise = OpenSimplexNoise.new()
# Configure noise.seed = randi() noise.octaves = 4 noise.period = 20.0 noise.persistence = 0.8
# Sample print("Values:") print(noise.get_noise_2d(1.0, 1.0)) print(noise.get_noise_3d(0.5, 3.0, 15.0)) print(noise.get_noise_4d(0.5, 1.9, 4.7, 0.0))
Noise generator based on Open Simplex.
This resource allows you to configure and sample a fractal noise space. Here is a brief usage example that configures an OpenSimplexNoise and gets samples at various positions and dimensions: