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Enhance images with various noise types for artistic effects, data augmentation, and texture simulation.
The DeforumAddNoiseNode is designed to enhance your images by adding various types of noise, which can be useful for artistic effects, data augmentation, or simulating different textures and environments. This node allows you to introduce controlled noise into your images, providing a range of noise types to choose from, such as wavelet, value, flow, turbulence, ridged multifractal, reaction diffusion, voronoi, and simplex. By adjusting the amount of noise and other parameters, you can achieve the desired level of distortion or texture, making your images more dynamic and visually interesting. This node is particularly beneficial for AI artists looking to experiment with different visual styles and effects in their projects.
This parameter represents the input images to which the noise will be added. The images should be in a compatible format that the node can process.
This parameter allows you to select the type of noise to be added to the images. The available options are wavelet, value, flow, turbulence, ridged multifractal, reaction diffusion, voronoi, and simplex. Each noise type offers a unique pattern and effect, enabling you to experiment with different visual textures.
This parameter controls the intensity of the noise added to the images. It is a floating-point value with a default of 0.1, a minimum of 0.0, and a maximum of 100.0. Adjusting this value will increase or decrease the visibility of the noise in the final image.
This output parameter provides the images with the added noise. The noisy images are the result of applying the selected noise type and amount to the input images, offering a new version of the original images with the desired noise effect.
This output parameter represents the noise that was generated and applied to the images. It can be useful for further processing or analysis, allowing you to see the exact noise pattern that was used.
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