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Transform sigma values for denoising high-noise data in video processing tasks with shift and stretch mechanism for enhanced noise reduction control.
The LTXVShiftSigmas
node is designed to transform sigma values, which are crucial in the denoising process of high-noise data, particularly in video processing tasks. This node allows you to adjust the sigma values through a shift and stretch mechanism, enabling the model to focus more effectively on areas with high noise. By applying a mathematical transformation, the node modifies the sigma values to enhance the model's ability to denoise, ensuring that the final sigma values align with a specified terminal value. This transformation is particularly beneficial in scenarios where precise control over the denoising process is required, allowing for more refined and targeted noise reduction.
The sigmas
parameter represents the initial set of sigma values that will be transformed by the node. These values are essential in determining the level of noise present in the data and guide the denoising process. The transformation applied to these sigmas helps the model focus on high-noise areas, improving the overall quality of the output.
The sigma_shift
parameter is a floating-point value that determines the amount by which the sigma values are shifted. This shift is applied using an exponential function, which adjusts the sigma values to enhance the model's focus on denoising. The default value is 1.820833333, and it can be adjusted to fine-tune the denoising process.
The stretch
parameter is a boolean that indicates whether the sigma values should be stretched to match a specified terminal value. When set to true, the non-zero sigma values are adjusted so that their final value aligns with the terminal value, ensuring a consistent range for the denoising process. This parameter is particularly useful for maintaining control over the sigma range.
The terminal
parameter is a floating-point value that specifies the desired final value of the sigma range after stretching. It ensures that the transformed sigma values fall within a specific range, enhancing the model's ability to focus on denoising. The default value is 0.1, with a minimum of 0.0 and a maximum of 0.99, allowing for precise control over the final sigma values.
The output SIGMAS
represents the transformed sigma values after the shift and stretch operations have been applied. These values are crucial for guiding the denoising process, as they determine the areas of focus for noise reduction. By adjusting the sigma values, the node ensures that the model can effectively target high-noise areas, resulting in improved output quality.
sigma_shift
values to find the best balance for your specific data set.stretch
parameter to ensure that the sigma values fall within a desired range, which can help maintain consistency in the denoising process across different data sets.sigmas
are correctly formatted and fall within the expected range before passing them to the node.terminal
parameter to be within the specified range to avoid this error.© Copyright 2024 RunComfy. All Rights Reserved.
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