ComfyUI > Nodes > comfyui_overly_complicated_sampling > OCSNoise PerlinAdvanced

ComfyUI Node: OCSNoise PerlinAdvanced

Class Name

OCSNoise PerlinAdvanced

Category
OveryComplicatedSampling/noise
Author
blepping (Account age: 271days)
Extension
comfyui_overly_complicated_sampling
Latest Updated
2024-09-18
Github Stars
0.02K

How to Install comfyui_overly_complicated_sampling

Install this extension via the ComfyUI Manager by searching for comfyui_overly_complicated_sampling
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter comfyui_overly_complicated_sampling in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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OCSNoise PerlinAdvanced Description

Advanced Perlin noise generator for customizable 2D and 3D noise creation with detailed control over parameters.

OCSNoise PerlinAdvanced:

The OCSNoise PerlinAdvanced node is an advanced Perlin noise generator that allows you to create both 2D and 3D Perlin noise with a high degree of customization. This node is designed for users who need more control over the noise generation process, offering a variety of parameters to fine-tune the noise characteristics. Perlin noise is a type of gradient noise often used in procedural texture generation, terrain generation, and other applications where natural-looking randomness is desired. The advanced settings in this node enable you to adjust factors such as frequency, amplitude, lacunarity, and persistence across multiple octaves, providing you with the flexibility to create complex and detailed noise patterns.

OCSNoise PerlinAdvanced Input Parameters:

factor

The factor parameter controls the overall intensity or amplitude of the noise. Adjusting this value will scale the noise pattern, making it more or less pronounced. This parameter is crucial for determining the visual impact of the noise on your final output. There is no strict minimum or maximum value, but typical values range from 0.1 to 10.0, with a default value often set around 1.0.

rescale

The rescale parameter determines whether the generated noise should be rescaled to fit within a specific range. This is useful for normalizing the noise values, ensuring they fall within a desired range, typically between 0 and 1. This parameter is a boolean, with options being True or False, and the default value is usually True.

depth

The depth parameter specifies the depth of the noise in 3D space. This is particularly important for generating 3D noise, as it defines the third dimension's resolution. Higher values result in more detailed noise but require more computational resources. Typical values range from 1 to 256, with a default value around 32.

detail_level

The detail_level parameter controls the level of detail in the noise pattern. Higher values result in more intricate and fine-grained noise, while lower values produce smoother, less detailed patterns. This parameter is often set between 1 and 10, with a default value around 5.

octaves

The octaves parameter determines the number of layers of noise that are combined to create the final pattern. Each octave adds more detail and complexity to the noise. More octaves result in richer, more detailed noise but also increase computational complexity. Typical values range from 1 to 8, with a default value around 4.

persistence

The persistence parameter controls how the amplitude of each octave diminishes as the frequency increases. Lower values result in a smoother noise pattern, while higher values create more contrast and detail. This parameter usually ranges from 0.1 to 1.0, with a default value around 0.5.

break_pattern

The break_pattern parameter allows you to introduce irregularities or breaks in the noise pattern, making it less uniform and more natural-looking. This can be useful for simulating more organic textures. This parameter is a boolean, with options being True or False, and the default value is usually False.

lacunarity

The lacunarity parameter controls the frequency multiplier for each successive octave. Higher values result in more rapid increases in frequency, adding more detail to the noise. This parameter typically ranges from 1.5 to 3.0, with a default value around 2.0.

res

The res parameter specifies the resolution of the noise grid. Higher resolution results in more detailed noise but requires more computational resources. This parameter is crucial for defining the overall scale and detail of the noise pattern. Typical values range from 1 to 256, with a default value around 32.

OCSNoise PerlinAdvanced Output Parameters:

noise

The noise output parameter provides the generated Perlin noise as a 2D or 3D array, depending on the input parameters. This array can be used directly in your projects for texture generation, terrain modeling, or any other application requiring procedural noise. The values in the array typically range from 0 to 1, representing the intensity of the noise at each point.

OCSNoise PerlinAdvanced Usage Tips:

  • Experiment with the octaves and persistence parameters to achieve the desired level of detail and complexity in your noise patterns.
  • Use the rescale parameter to normalize the noise values, ensuring they fit within a specific range, which can be useful for consistent results across different applications.
  • Adjust the lacunarity parameter to control the frequency of the noise, which can help in creating more natural-looking textures.

OCSNoise PerlinAdvanced Common Errors and Solutions:

"Invalid parameter value"

  • Explanation: This error occurs when one or more input parameters are set to values outside their acceptable ranges.
  • Solution: Double-check the values of all input parameters and ensure they fall within the recommended ranges.

"Insufficient memory"

  • Explanation: This error occurs when the node requires more memory than is available, often due to high resolution or a large number of octaves.
  • Solution: Reduce the res, depth, or octaves parameters to lower the memory requirements.

"Unexpected output shape"

  • Explanation: This error occurs when the output noise array does not match the expected dimensions, possibly due to incorrect input parameters.
  • Solution: Verify that all input parameters are correctly set and compatible with each other, particularly res and depth.

OCSNoise PerlinAdvanced Related Nodes

Go back to the extension to check out more related nodes.
comfyui_overly_complicated_sampling
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