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Introduce random noise for AI-generated artwork with varied patterns and textures, enhancing visual complexity and organic appearance.
The SonarRandomNoise node is designed to introduce random noise into your AI-generated artwork, providing a unique and unpredictable element to your creations. This node leverages a custom noise generation method to produce varied and intricate noise patterns, enhancing the visual complexity and texture of your images. By incorporating random noise, you can achieve a more organic and less uniform appearance, which is particularly useful for simulating natural phenomena or adding artistic flair. The node allows for fine-tuning through several parameters, enabling you to control the intensity, normalization, and mixing of the noise, ensuring that the final output aligns with your creative vision.
This parameter specifies the custom noise type to be used by the node. It allows you to select from predefined noise patterns, which will serve as the basis for generating the random noise. The choice of custom noise can significantly impact the texture and appearance of the final output.
This integer parameter determines the number of times the noise is mixed. A higher mix count results in more complex and layered noise patterns. The value ranges from 1 to 100, with a default of 1. Increasing the mix count can add depth and intricacy to the noise, but may also increase processing time.
This parameter controls the normalization of the noise. It offers three options: "default," "forced," and "disabled." Normalization adjusts the noise values to a standard range, which can help in maintaining consistency across different noise patterns. "Default" applies standard normalization, "forced" ensures normalization is always applied, and "disabled" turns off normalization.
The primary output of the SonarRandomNoise node is the generated noise pattern. This output can be used as an overlay or a texture in your artwork, adding a layer of randomness and complexity. The noise pattern is influenced by the input parameters, resulting in a unique and customizable output.
sonar_custom_noise
types to see how each one affects the final noise pattern.mix_count
to find the right balance between complexity and processing time for your specific project.normalize
parameter to ensure consistent noise levels, especially when combining multiple noise patterns.mix_count
parameter must be an integer between 1 and 100.mix_count
is within the specified range.normalize
parameter must be set to one of the following options: "default," "forced," or "disabled."© Copyright 2024 RunComfy. All Rights Reserved.