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Customize noise levels for AI art generation, fine-tune sampling, control image quality.
The AlignYourStepsScheduler
node is designed to help you customize the noise levels for your AI art generation process, ensuring that the steps align perfectly with your model type and denoising requirements. This node is particularly useful for fine-tuning the sampling process, allowing you to achieve more precise and controlled results. By adjusting the number of steps and the denoise factor, you can influence the quality and characteristics of the generated images, making this node a powerful tool for AI artists looking to optimize their workflows.
This parameter specifies the type of model you are using. The available options are SD1
, SDXL
, and SVD
. Choosing the correct model type ensures that the noise levels are aligned appropriately for your specific model, which can significantly impact the quality of the generated images.
This integer parameter determines the number of steps to be used in the sampling process. The default value is 10, with a minimum of 10 and a maximum of 10000. The number of steps directly affects the granularity and detail of the generated images; more steps generally lead to higher quality but require more computational resources.
This floating-point parameter controls the denoising factor, with a default value of 1.0. It ranges from 0.0 to 1.0, with a step size of 0.01. A lower denoise value reduces the number of effective steps, which can speed up the process but may result in lower quality images. Adjusting this parameter allows you to balance between speed and quality.
The output of this node is a tensor of noise levels, referred to as SIGMAS
. These noise levels are crucial for the sampling process, as they determine the amount of noise added at each step. Properly aligned sigmas ensure that the generated images are of high quality and meet the desired characteristics set by the input parameters.
ValueError: Model type not recognized
SD1
, SDXL
, or SVD
.ValueError: Steps must be between 10 and 10000
ValueError: Denoise must be between 0.0 and 1.0
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