ComfyUI  >  Nodes  >  ComfyUI Impact Pack >  KSampler (Advanced/pipe)

ComfyUI Node: KSampler (Advanced/pipe)

Class Name

ImpactKSamplerAdvancedBasicPipe

Category
sampling
Author
Dr.Lt.Data (Account age: 458 days)
Extension
ComfyUI Impact Pack
Latest Updated
6/19/2024
Github Stars
1.4K

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Install this extension via the ComfyUI Manager by searching for  ComfyUI Impact Pack
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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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KSampler (Advanced/pipe) Description

Sophisticated node enhancing AI art generation through advanced sampling techniques for high-quality latent image production with precise parameter control.

KSampler (Advanced/pipe):

The ImpactKSamplerAdvancedBasicPipe is a sophisticated node designed to enhance the sampling process in AI art generation. This node leverages advanced sampling techniques to produce high-quality latent images from a given model pipeline. It is particularly beneficial for users looking to fine-tune their image generation process with greater control over various parameters such as noise addition, denoising, and step management. By integrating advanced sampling methods, this node aims to provide more precise and customizable outputs, making it an essential tool for AI artists seeking to push the boundaries of their creative projects.

KSampler (Advanced/pipe) Input Parameters:

basic_pipe

This parameter represents the basic pipeline that includes the model, clip, VAE, positive, and negative prompts. It serves as the foundational structure upon which the sampling process is built.

add_noise

A boolean parameter that determines whether to add noise to the latent image. Adding noise can help in generating more diverse and creative outputs.

noise_seed

An integer seed value used for noise generation. This ensures reproducibility of the noise added to the latent image. The default value is 0, with a minimum of 0 and a maximum of 0xffffffffffffffff.

steps

An integer that specifies the number of steps to be taken during the sampling process. More steps generally lead to higher quality images but require more computational resources. The default value is 20, with a minimum of 1 and a maximum of 10000.

cfg

A float value representing the configuration scale, which influences the strength of the guidance during sampling. Higher values result in images that closely follow the given prompts. The default value is 8.0, with a minimum of 0.0 and a maximum of 100.0.

sampler_name

This parameter allows you to choose the specific sampler to be used from the available options in comfy.samplers.KSampler.SAMPLERS. Different samplers can produce varying artistic effects.

scheduler

This parameter lets you select the scheduler to be used from core.SCHEDULERS. The scheduler controls the timing and order of the sampling steps.

latent_image

This parameter represents the initial latent image to be processed. It serves as the starting point for the sampling process.

start_at_step

An integer that specifies the step at which to start the sampling process. This allows for partial processing of the latent image. The default value is 0.

end_at_step

An integer that specifies the step at which to end the sampling process. This allows for partial processing of the latent image. The default value is the total number of steps.

return_with_leftover_noise

A boolean parameter that determines whether to return the latent image with any leftover noise. This can be useful for further processing or analysis.

denoise

A float value that controls the amount of denoising applied to the latent image. Higher values result in smoother images. The default value is 1.0, with a minimum of 0.0 and a maximum of 1.0, adjustable in steps of 0.01.

KSampler (Advanced/pipe) Output Parameters:

basic_pipe

This output returns the original basic pipeline, allowing for further processing or reuse in subsequent nodes.

latent

This output provides the processed latent image, which has undergone the advanced sampling process. It is the primary result of the node's operation and can be used for generating the final image.

vae

This output returns the VAE (Variational Autoencoder) component of the basic pipeline, which can be used for additional image processing tasks.

KSampler (Advanced/pipe) Usage Tips:

  • Experiment with different sampler_name and scheduler combinations to achieve unique artistic effects.
  • Adjust the steps parameter to balance between image quality and computational efficiency.
  • Use the denoise parameter to fine-tune the smoothness of the generated image, especially when working with high-detail prompts.

KSampler (Advanced/pipe) Common Errors and Solutions:

"Invalid seed value"

  • Explanation: The seed value provided is outside the acceptable range.
  • Solution: Ensure the seed value is between 0 and 0xffffffffffffffff.

"Steps value out of range"

  • Explanation: The number of steps specified is either too low or too high.
  • Solution: Set the steps value between 1 and 10000.

"Invalid configuration scale (cfg)"

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

"Denoise value out of range"

  • Explanation: The denoise value is outside the acceptable range.
  • Solution: Set the denoise value between 0.0 and 1.0, adjustable in steps of 0.01.

KSampler (Advanced/pipe) Related Nodes

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