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Fine-tune denoising process in AI-generated images with control over original structure and creative transformations.
The DenoiseSlider node is a versatile tool designed to help you fine-tune the denoising process in your AI-generated images. By adjusting the denoising level, you can control the balance between maintaining the original structure of an image and applying creative transformations. This node is particularly useful for image-to-image sampling, where preserving certain elements of the initial image is crucial. The DenoiseSlider provides a simple and intuitive interface, allowing you to make precise adjustments with ease, ensuring that your artistic vision is accurately reflected in the final output.
The value
parameter is a floating-point number that represents the level of denoising to be applied. It is controlled via a slider interface, making it easy to adjust. The parameter ranges from a minimum of 0.0 to a maximum of 1.0, with a default value set at 0.5. The step size for adjustments is 0.001, allowing for fine-grained control over the denoising process. A lower value will maintain more of the original image's structure, while a higher value will apply more denoising, potentially leading to more creative transformations.
The output of the DenoiseSlider node is a single floating-point number, which corresponds to the adjusted denoising level. This output is crucial as it directly influences the denoising process applied to the image, determining how much of the original image's structure is preserved versus how much creative transformation is applied.
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