ComfyUI > Nodes > ComfyUI > SamplerEulerAncestralCFG++

ComfyUI Node: SamplerEulerAncestralCFG++

Class Name

SamplerEulerAncestralCFGPP

Category
sampling/custom_sampling/samplers
Author
ComfyAnonymous (Account age: 598days)
Extension
ComfyUI
Latest Updated
2024-08-12
Github Stars
45.85K

How to Install ComfyUI

Install this extension via the ComfyUI Manager by searching for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI 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.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

SamplerEulerAncestralCFG++ Description

Customized sampling for AI art using Euler Ancestral CFG++ algorithm, fine-tuning noise and randomness parameters for refined outputs.

SamplerEulerAncestralCFG++:

The SamplerEulerAncestralCFGPP node is designed to provide a customized sampling method for AI-generated art, specifically utilizing the Euler Ancestral CFG++ algorithm. This node allows you to fine-tune the sampling process by adjusting parameters that influence the noise and randomness in the generated images. By leveraging this node, you can achieve more controlled and refined outputs, making it a valuable tool for artists looking to experiment with different styles and levels of detail in their AI-generated artwork.

SamplerEulerAncestralCFG++ Input Parameters:

eta

The eta parameter is a floating-point value that controls the amount of noise added during the sampling process. It influences the randomness and variability in the generated images. A higher eta value results in more noise and potentially more diverse outputs, while a lower value leads to more deterministic and consistent results. The eta parameter ranges from 0.0 to 1.0, with a default value of 1.0, allowing for fine-grained adjustments in increments of 0.01.

s_noise

The s_noise parameter is a floating-point value that determines the scale of the noise applied during sampling. It affects the overall texture and granularity of the generated images. A higher s_noise value increases the intensity of the noise, leading to more pronounced textures, while a lower value results in smoother and less textured outputs. The s_noise parameter ranges from 0.0 to 10.0, with a default value of 1.0, providing flexibility in noise scaling with increments of 0.01.

SamplerEulerAncestralCFG++ Output Parameters:

SAMPLER

The output of the SamplerEulerAncestralCFGPP node is a SAMPLER object configured with the specified eta and s_noise parameters. This sampler object is used in the AI art generation process to apply the Euler Ancestral CFG++ algorithm, producing images that reflect the input settings. The SAMPLER output is essential for integrating the customized sampling method into your AI art workflow, ensuring that the generated images align with your artistic vision.

SamplerEulerAncestralCFG++ Usage Tips:

  • Experiment with different eta values to find the right balance between randomness and consistency in your generated images.
  • Adjust the s_noise parameter to control the texture and granularity of your artwork, aiming for either smooth or highly textured results based on your artistic goals.
  • Combine this node with other sampling nodes to explore a variety of styles and effects in your AI-generated art.

SamplerEulerAncestralCFG++ Common Errors and Solutions:

Invalid eta value

  • Explanation: The eta parameter value is outside the allowed range of 0.0 to 1.0.
  • Solution: Ensure that the eta value is within the specified range and adjust it accordingly.

Invalid s_noise value

  • Explanation: The s_noise parameter value is outside the allowed range of 0.0 to 10.0.
  • Solution: Verify that the s_noise value is within the specified range and modify it as needed.

Sampler initialization failed

  • Explanation: There was an issue initializing the sampler with the provided parameters.
  • Solution: Double-check the input values for eta and s_noise to ensure they are correctly set, and try reinitializing the node. If the problem persists, consult the documentation or support resources for further assistance.

SamplerEulerAncestralCFG++ Related Nodes

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

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.