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Introduce controlled noise for artistic effects in AI-generated art, offering flexibility and experimentation.
The Zuellni Multi Noise node is designed to introduce controlled noise into images, latents, and masks, enhancing the creative possibilities for AI-generated art. By adding noise, you can achieve a variety of artistic effects, from subtle texture variations to dramatic distortions. This node is particularly useful for artists looking to experiment with different noise levels and color options to create unique and compelling visuals. The primary goal of this node is to provide a flexible and powerful tool for manipulating the noise characteristics of your inputs, allowing for greater artistic expression and experimentation.
The strength
parameter controls the intensity of the noise added to the input. It is a floating-point value that ranges from 0.0 to 10.0, with a default value of 0.1. A higher strength value will result in more pronounced noise, while a lower value will produce subtler effects. Adjusting this parameter allows you to fine-tune the level of noise to achieve the desired artistic effect.
The color
parameter is a boolean option that determines whether the noise added is colored or grayscale. It accepts two values: False
(default) for grayscale noise and True
for colored noise. Enabling colored noise can add a vibrant and dynamic quality to your images, while grayscale noise can create a more uniform and textured appearance.
The images
parameter is an optional input that accepts image data. If provided, noise will be added to these images based on the specified strength
and color
settings. This parameter allows you to directly manipulate the visual characteristics of your images by introducing controlled noise.
The latents
parameter is an optional input that accepts latent data. If provided, noise will be added to these latents, which can then be used in further processing steps. This parameter is useful for artists working with latent space representations of images, allowing for creative manipulation at a more abstract level.
The masks
parameter is an optional input that accepts mask data. If provided, noise will be added to these masks, which can be used to influence the application of effects in subsequent processing steps. This parameter allows for the introduction of noise into specific regions of an image, providing greater control over the final output.
The IMAGES
output contains the images with the added noise. This output reflects the visual changes made to the input images based on the specified strength
and color
settings. It allows you to see the direct impact of the noise on your images, providing a tangible result of the node's processing.
The LATENTS
output contains the latents with the added noise. This output is useful for further processing in the latent space, enabling more complex and abstract manipulations. It provides a way to explore the effects of noise on the underlying representations of your images.
The MASKS
output contains the masks with the added noise. This output allows you to see how the noise has been applied to the mask data, which can be used to influence subsequent processing steps. It provides a way to introduce controlled variations into specific regions of your images.
strength
values to achieve a range of effects, from subtle texture enhancements to dramatic distortions.color
parameter to switch between grayscale and colored noise, depending on the desired artistic effect.images
, latents
, and masks
inputs to create complex and layered noise effects in your compositions.strength
parameter incrementally to fine-tune the noise level and achieve the perfect balance for your artwork.images
, latents
, or masks
inputs are not provided or are set to None
.images
, latents
, or masks
parameters.strength
parameter is set to a value outside the allowed range (0.0 to 10.0).strength
parameter to a value within the valid range.color
parameter is set to a value other than False
or True
.color
parameter is set to either False
or True
.images
, latents
, or masks
do not match the expected dimensions.© Copyright 2024 RunComfy. All Rights Reserved.