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Enhances noise sampling with momentum for smoother transitions and coherent results, ideal for AI-generated images.
The SamplerRES_Momentumized
node is designed to enhance the sampling process by incorporating momentum into the noise sampling mechanism. This node is particularly useful for AI artists looking to generate high-quality images with improved stability and consistency. By leveraging momentum, the sampler can produce smoother transitions and more coherent results, making it ideal for tasks that require fine-tuned control over the sampling process. The node offers a range of customizable parameters, allowing you to adjust the behavior of the sampler to suit your specific needs. Whether you're working on intricate designs or complex compositions, SamplerRES_Momentumized
provides the flexibility and precision needed to achieve your artistic vision.
This parameter specifies the type of noise sampler to be used. The available options are determined by the function get_noise_sampler_names()
. Choosing the appropriate noise sampler type can significantly impact the quality and characteristics of the generated images.
This parameter controls the momentum applied during the sampling process. It accepts a floating-point value ranging from -1.0 to 1.0, with a default value of 0.5. Adjusting the momentum can help in achieving smoother transitions and more stable results. A higher momentum value can lead to more pronounced effects, while a lower value can make the sampling process more subtle.
This boolean parameter determines whether the denoising process should be carried out to zero. The default value is True
. Enabling this option can help in achieving cleaner and more refined outputs by fully denoising the sampled images.
This boolean parameter specifies whether a simplified calculation method should be used for the phi function. The default value is False
. Enabling this option can speed up the sampling process but may affect the quality of the results.
This parameter controls the ita
value used in the sampling process. It accepts a floating-point value ranging from 0.0 to 100.0, with a default value of 0.25. Adjusting the ita
value can influence the behavior of the sampler, allowing for more precise control over the generated images.
This parameter controls the c2
value used in the sampling process. It accepts a floating-point value ranging from 0.0 to 1.0, with a default value of 0.5. Adjusting the c2
value can affect the characteristics of the noise and the overall quality of the sampled images.
The output of this node is a SAMPLER
object configured with the specified parameters. This sampler can be used in subsequent nodes to generate images based on the defined noise sampling and momentum settings. The SAMPLER
object encapsulates all the necessary information and methods to perform the sampling process, ensuring consistent and high-quality results.
momentum
values to find the optimal setting for your specific project. Higher values can create more dynamic effects, while lower values can produce more subtle and controlled results.denoise_to_zero
option to achieve cleaner outputs, especially when working on projects that require high levels of detail and refinement.ita
and c2
parameters to fine-tune the behavior of the sampler. These settings can significantly impact the quality and characteristics of the generated images.noise_sampler_type
is not recognized or supported.get_noise_sampler_names()
function.momentum
value provided is outside the acceptable range of -1.0 to 1.0.momentum
value to be within the specified range.denoise_to_zero
or simple_phi_calc
parameter is not set to a valid boolean value.True
or False
.ita
value provided is outside the acceptable range of 0.0 to 100.0.ita
value to be within the specified range.c2
value provided is outside the acceptable range of 0.0 to 1.0.c2
value to be within the specified range.© Copyright 2024 RunComfy. All Rights Reserved.