ComfyUI > Nodes > comfy-plasma > Random Noise

ComfyUI Node: Random Noise

Class Name

JDC_RandNoise

Category
image/noise
Author
Jordach (Account age: 4522days)
Extension
comfy-plasma
Latest Updated
2024-05-22
Github Stars
0.05K

How to Install comfy-plasma

Install this extension via the ComfyUI Manager by searching for comfy-plasma
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter comfy-plasma 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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Random Noise Description

Versatile node for generating controlled random noise in image processing, ideal for AI artists seeking creative texture.

Random Noise:

JDC_RandNoise is a versatile node designed to generate random noise for image processing tasks. This node is particularly useful for AI artists looking to add a layer of randomness or texture to their images, enhancing the creative possibilities. By leveraging a seed value, JDC_RandNoise ensures reproducibility, allowing you to generate the same noise pattern consistently. The node can create noise across different channels (red, green, blue) and within specified value ranges, providing fine control over the noise characteristics. This makes it an essential tool for tasks that require controlled randomness, such as texture generation, image augmentation, and artistic effects.

Random Noise Input Parameters:

width

Specifies the width of the generated noise image. This parameter determines the horizontal dimension of the output noise pattern. The value should be a positive integer representing the number of pixels.

height

Specifies the height of the generated noise image. This parameter determines the vertical dimension of the output noise pattern. The value should be a positive integer representing the number of pixels.

value_min

Defines the minimum value for the global noise intensity. This parameter sets the lower bound for the overall brightness of the noise. The value should be an integer between 0 and 255, with -1 indicating no clamping.

value_max

Defines the maximum value for the global noise intensity. This parameter sets the upper bound for the overall brightness of the noise. The value should be an integer between 0 and 255, with -1 indicating no clamping.

red_min

Specifies the minimum value for the red channel noise intensity. This parameter sets the lower bound for the red component of the noise. The value should be an integer between 0 and 255, with -1 indicating no clamping.

red_max

Specifies the maximum value for the red channel noise intensity. This parameter sets the upper bound for the red component of the noise. The value should be an integer between 0 and 255, with -1 indicating no clamping.

green_min

Specifies the minimum value for the green channel noise intensity. This parameter sets the lower bound for the green component of the noise. The value should be an integer between 0 and 255, with -1 indicating no clamping.

green_max

Specifies the maximum value for the green channel noise intensity. This parameter sets the upper bound for the green component of the noise. The value should be an integer between 0 and 255, with -1 indicating no clamping.

blue_min

Specifies the minimum value for the blue channel noise intensity. This parameter sets the lower bound for the blue component of the noise. The value should be an integer between 0 and 255, with -1 indicating no clamping.

blue_max

Specifies the maximum value for the blue channel noise intensity. This parameter sets the upper bound for the blue component of the noise. The value should be an integer between 0 and 255, with -1 indicating no clamping.

seed

Defines the seed value for the random noise generation. This parameter ensures that the same noise pattern can be reproduced if the same seed is used. The value should be a positive integer.

Random Noise Output Parameters:

noise_image

The generated noise image. This output is an image tensor containing the random noise pattern based on the specified input parameters. The noise image can be used directly in image processing pipelines or as a texture in various artistic applications.

Random Noise Usage Tips:

  • To achieve consistent results, always use the same seed value when generating noise for similar tasks.
  • Experiment with different value ranges for the red, green, and blue channels to create unique noise patterns and textures.
  • Use the width and height parameters to match the dimensions of your target image, ensuring seamless integration of the noise.

Random Noise Common Errors and Solutions:

"Invalid width or height value"

  • Explanation: The width or height parameter is set to a non-positive integer.
  • Solution: Ensure that both width and height are positive integers representing the number of pixels.

"Value range out of bounds"

  • Explanation: The value_min or value_max parameter is set outside the acceptable range of 0 to 255. - Solution: Adjust the value_min and value_max parameters to be within the range of 0 to 255, or set them to -1 for no clamping.

"Seed value not specified"

  • Explanation: The seed parameter is missing or set to a non-positive integer.
  • Solution: Provide a positive integer for the seed parameter to ensure reproducibility of the noise pattern.

Random Noise Related Nodes

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