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Enhances SDE noise handling with configurable options for sampling process.
The ClownsharKSamplerOptions_SDE_Noise
node is designed to enhance the sampling process by providing options specifically tailored for Stochastic Differential Equation (SDE) noise handling. This node is part of the RES4LYF/sampler_extensions
category and is primarily used to configure the noise parameters that influence the behavior of the SDE during the sampling process. By allowing you to specify the number of noise steps and the type of noise to be applied, this node offers a flexible approach to managing noise, which can significantly impact the quality and characteristics of the generated outputs. The main function of this node is to collect and return these options in a structured format, making it easier to integrate with other components in the sampling pipeline.
This parameter specifies the number of steps for applying SDE noise. It is an integer value that determines how many iterations of noise application will occur during the sampling process. The minimum value is 1, and the maximum is 10,000, with a default value of 1. Increasing the number of steps can lead to more refined noise application, potentially enhancing the detail and texture of the output, but it may also increase computational time.
This optional parameter represents the latent noise to be used in the SDE process. It allows you to input a specific noise pattern or distribution that will be applied during the sampling. The use of custom latent noise can help achieve specific artistic effects or adhere to particular noise characteristics desired in the output.
This optional parameter is a dictionary that can include additional configuration settings for the SDE noise process. It allows for further customization and fine-tuning of the noise application, enabling you to adjust various aspects of the noise handling to suit specific needs or preferences.
The output parameter options
is a dictionary that encapsulates the configured settings for the SDE noise process. It includes the number of noise steps and the specified latent noise, along with any additional options provided. This structured output is crucial for integrating the noise configuration with other nodes or components in the sampling workflow, ensuring that the desired noise characteristics are consistently applied.
sde_noise_steps
parameter, but be mindful of the potential increase in processing time.sde_noise
patterns to explore various artistic effects and find the noise characteristics that best suit your creative vision.sde_noise
Inputsde_noise
input when configuring the node, or verify that the default behavior meets your needs.sde_noise_steps
Valuesde_noise_steps
parameter is set to a value outside the allowed range.sde_noise_steps
to be within the range of 1 to 10,000, ensuring it is an integer value.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.