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Manage noise level scheduling for AI art generation, optimizing denoising steps for image quality and style control.
The DiffusersScheduler
node is designed to manage the scheduling of noise levels during the diffusion process in AI art generation. This node is essential for controlling the denoising steps, which directly impact the quality and style of the generated images. By adjusting the noise levels, you can fine-tune the diffusion process to achieve desired artistic effects. The DiffusersScheduler
provides a structured way to handle these parameters, ensuring that the diffusion process is both efficient and effective. This node is particularly useful for artists looking to experiment with different noise schedules to create unique and high-quality AI-generated artwork.
This parameter specifies the model to be used for the diffusion process. It is a required input and should be a valid model object that supports the diffusion process.
This parameter defines the type of scheduler to be used. It is a required input and should be one of the predefined scheduler names available in comfy.samplers.SCHEDULER_NAMES
.
This parameter sets the number of steps for the diffusion process. It is an integer value with a default of 20, a minimum of 1, and a maximum of 10000. The number of steps directly affects the granularity and quality of the diffusion process.
This parameter controls the denoising level during the diffusion process. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 1.0, with a step size of 0.01. Lower values will result in more denoising, which can affect the final image quality and style.
This output parameter provides the calculated sigma values for the diffusion process. These values are essential for controlling the noise levels at each step of the diffusion process, directly impacting the quality and characteristics of the generated images.
scheduler
types to see how they affect the final image quality and style.steps
parameter to find a balance between processing time and image quality. More steps generally result in higher quality but take longer to process.denoise
parameter to control the level of noise reduction. Lower values can help achieve smoother images but may lose some details.comfy.samplers.SCHEDULER_NAMES
.steps
parameter is set outside the allowed range.steps
value is between 1 and 10000.denoise
parameter is set outside the allowed range.denoise
value is between 0.0 and 1.0.© Copyright 2024 RunComfy. All Rights Reserved.