ComfyUI  >  Nodes  >  ComfyUI-sonar >  SamplerSonarEuler

ComfyUI Node: SamplerSonarEuler

Class Name

SamplerSonarEuler

Category
sampling/custom_sampling/samplers
Author
blepping (Account age: 176 days)
Extension
ComfyUI-sonar
Latest Updated
5/22/2024
Github Stars
0.0K

How to Install ComfyUI-sonar

Install this extension via the ComfyUI Manager by searching for  ComfyUI-sonar
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-sonar in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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SamplerSonarEuler Description

Custom sampling node leveraging SonarEuler algorithm for AI art generation with flexible control over noise configurations and momentum settings.

SamplerSonarEuler:

The SamplerSonarEuler node is designed to facilitate custom sampling processes within the AI art generation pipeline. It leverages the SonarEuler algorithm to provide a robust and flexible sampling mechanism that can be fine-tuned to achieve desired artistic effects. This node is particularly beneficial for AI artists looking to experiment with different noise configurations and momentum settings to influence the generated output. By adjusting various parameters, you can control the behavior of the sampling process, making it possible to achieve a wide range of visual styles and effects. The primary goal of this node is to offer a high degree of customization and control over the sampling process, enabling you to create unique and compelling AI-generated art.

SamplerSonarEuler Input Parameters:

momentum

The momentum parameter controls the momentum factor in the sampling process. It influences how much of the previous state is carried over to the next step, affecting the smoothness and continuity of the generated output. The value ranges from -0.5 to 2.5, with a default of 0.95. Higher values can lead to smoother transitions, while lower values may introduce more variability.

momentum_hist

The momentum_hist parameter sets the historical momentum factor, which impacts the influence of past states on the current sampling step. This parameter ranges from -1.5 to 1.5, with a default value of 0.75. Adjusting this can help in fine-tuning the temporal consistency of the generated art.

momentum_init

The momentum_init parameter specifies the initial momentum type from a predefined set of options. This determines the starting point for the momentum calculations, which can affect the initial behavior of the sampling process. The available options are derived from the HistoryType enumeration.

direction

The direction parameter controls the directional influence in the sampling process. It ranges from -30.0 to 15.0, with a default value of 1.0. This parameter can be used to steer the sampling process in a particular direction, influencing the overall flow and structure of the generated output.

rand_init_noise_type

The rand_init_noise_type parameter specifies the type of random initial noise to be used, excluding the BROWNIAN noise type. This parameter allows you to choose from a set of predefined noise types, which can significantly impact the texture and granularity of the generated art.

s_noise

The s_noise parameter sets the noise scale factor, which determines the intensity of the noise applied during the sampling process. It ranges from 0.0 to 100.0, with a default value of 1.0. Adjusting this parameter can help in controlling the level of detail and randomness in the output.

guidance_cfg_opt

The guidance_cfg_opt parameter is optional and allows you to provide a custom guidance configuration. This can be used to influence the sampling process based on specific guidance criteria, enabling more targeted and refined outputs.

SamplerSonarEuler Output Parameters:

SAMPLER

The SAMPLER output is the primary result of the SamplerSonarEuler node. It encapsulates the configured sampling process, ready to be used in the AI art generation pipeline. This output is crucial as it defines the behavior and characteristics of the sampling process, which directly impacts the final generated art.

SamplerSonarEuler Usage Tips:

  • Experiment with different momentum and momentum_hist values to achieve varying levels of smoothness and continuity in your generated art.
  • Use the direction parameter to influence the overall flow and structure of your output, especially when aiming for specific artistic effects.
  • Adjust the s_noise parameter to control the level of detail and randomness, which can help in achieving either more abstract or more detailed results.
  • Leverage the guidance_cfg_opt parameter to apply custom guidance configurations for more targeted and refined outputs.

SamplerSonarEuler Common Errors and Solutions:

"Invalid momentum value"

  • Explanation: The momentum value provided is outside the acceptable range.
  • Solution: Ensure that the momentum value is between -0.5 and 2.5.

"Invalid momentum_hist value"

  • Explanation: The momentum_hist value provided is outside the acceptable range.
  • Solution: Ensure that the momentum_hist value is between -1.5 and 1.5.

"Invalid direction value"

  • Explanation: The direction value provided is outside the acceptable range.
  • Solution: Ensure that the direction value is between -30.0 and 15.0.

"Invalid s_noise value"

  • Explanation: The s_noise value provided is outside the acceptable range.
  • Solution: Ensure that the s_noise value is between 0.0 and 100.0.

"Invalid rand_init_noise_type"

  • Explanation: The rand_init_noise_type provided is not a valid option.
  • Solution: Choose a valid noise type from the predefined set, excluding BROWNIAN.

SamplerSonarEuler Related Nodes

Go back to the extension to check out more related nodes.
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