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Introduce beta-distributed noise for image texture and randomness control.
The ImageNoiseBeta
node is designed to introduce beta-distributed noise into your images, providing a way to simulate various noise patterns and effects. This node is particularly useful for AI artists looking to add a layer of randomness or texture to their images, enhancing the visual complexity and realism. By leveraging the beta distribution, which is defined by two shape parameters, this node allows for fine-tuned control over the noise characteristics, making it versatile for different artistic needs. Whether you want to add subtle grain or more pronounced noise, ImageNoiseBeta
offers the flexibility to achieve your desired effect.
This parameter expects an image input that will be processed by the node. The image serves as the base onto which the noise will be applied.
This integer parameter defines the first shape parameter of the beta distribution. It controls the skewness of the noise distribution. The default value is 1, with a minimum value of 1. Adjusting this parameter will affect the intensity and spread of the noise.
This integer parameter defines the second shape parameter of the beta distribution. Similar to a
, it influences the skewness and spread of the noise. The default value is 1, with a minimum value of 1. Modifying this parameter in conjunction with a
allows for precise control over the noise characteristics.
This boolean parameter determines whether the noise should be monochromatic (single color channel) or not. The options are "true" or "false", with "false" being the default. When set to "true", the noise will be applied uniformly across all color channels, creating a grayscale noise effect.
This boolean parameter decides whether the noise should be inverted. The options are "true" or "false", with "false" being the default. Inverting the noise can create a different visual effect by subtracting the noise from the image instead of adding it.
This parameter specifies which color channels the noise should be applied to. The options include "rgb", "rgba", "rg", "rb", "ra", "gb", "ga", "ba", "r", "g", "b", and "a". This allows for targeted noise application, enabling you to add noise to specific channels for more creative control.
The output is an image with the applied beta-distributed noise. This image retains the same dimensions and type as the input image but with the added noise effect. The noise characteristics are determined by the input parameters, providing a customized noise pattern.
a
and b
to achieve various noise patterns. Higher values can create more uniform noise, while lower values can result in more pronounced and varied noise.monochromatic
parameter to create a consistent noise effect across all color channels, which can be useful for creating vintage or film grain effects.invert
parameter to see how subtracting noise instead of adding it changes the visual outcome. This can be particularly useful for creating unique textures.channels
to apply noise to only certain parts of the image, allowing for more creative and targeted noise application.a
and b
are not valid. Both parameters must be integers greater than or equal to 1. - Solution: Ensure that both a
and b
are set to integers with a minimum value of 1.© Copyright 2024 RunComfy. All Rights Reserved.