Visit ComfyUI Online for ready-to-use ComfyUI environment
Generate sigma values for denoising in AI art, control steps and intensity, customize image quality and style.
The BasicScheduler node is designed to generate a sequence of sigma values, which are essential for the denoising process in AI art generation. This node allows you to control the number of steps and the denoising intensity, providing flexibility in the sampling process. By adjusting these parameters, you can influence the quality and style of the generated images. The BasicScheduler is particularly useful for fine-tuning the denoising process to achieve the desired artistic effect, making it a valuable tool for AI artists looking to customize their workflows.
This parameter specifies the model to be used for generating sigma values. It is essential for the node to understand the characteristics of the model to produce accurate sigma values. The model should be compatible with the sampling process.
This parameter determines the type of scheduler to be used. The scheduler influences how the sigma values are calculated and can affect the overall denoising process. Different schedulers may produce different artistic effects.
This integer parameter defines the number of steps in the denoising process. The default value is 20, with a minimum of 1 and a maximum of 10000. Increasing the number of steps can lead to more refined and detailed images, while fewer steps may result in quicker but less detailed outputs.
This float parameter controls the intensity of the denoising process, with a default value of 1.0. The range is from 0.0 to 1.0, with a step of 0.01. A value of 1.0 means full denoising, while lower values reduce the denoising effect. Adjusting this parameter allows for fine-tuning the balance between noise and detail in the generated images.
The output of the BasicScheduler node is a sequence of sigma values, represented as a tensor. These sigma values are used in the denoising process to progressively refine the generated image. The sequence of sigma values is crucial for controlling the noise reduction and achieving the desired artistic effect.
ValueError: Denoise value must be greater than 0
TypeError: Model object is not compatible
IndexError: Steps value out of range
© Copyright 2024 RunComfy. All Rights Reserved.