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Eliminate noise masks from latent images for clean, noise-free AI art generation.
The RemoveNoiseMask node is designed to eliminate noise masks from latent images, which are often used in AI art generation to control the application of noise during the image synthesis process. By removing these noise masks, the node ensures that the latent images are free from any additional noise patterns that might interfere with the desired output. This can be particularly useful in scenarios where the noise mask is no longer needed or when you want to reset the latent image to its original state without any noise influence. The primary goal of this node is to provide a clean and noise-free latent image, enhancing the quality and clarity of the generated artwork.
samples
is the latent image data that contains the noise mask you want to remove. This parameter is crucial as it holds the latent image information that will be processed by the node. The latent image is typically a multi-dimensional tensor that represents the encoded version of an image in the latent space. By providing this parameter, the node can access and modify the latent image to remove the noise mask.
The output parameter LATENT
is the processed latent image data with the noise mask removed. This output is essential as it provides the cleaned latent image that can be further used in the image generation pipeline. The removal of the noise mask ensures that the latent image is free from any unwanted noise patterns, resulting in a clearer and more accurate representation of the intended artwork.
samples
parameter contains valid latent image data with a noise mask before using this node.samples
parameter does not contain valid latent image data.samples
parameter is correctly populated with the appropriate latent image data before using the node.© Copyright 2024 RunComfy. All Rights Reserved.