ComfyUI > Nodes > Restart Sampling > KSampler With Restarts (Advanced)

ComfyUI Node: KSampler With Restarts (Advanced)

Class Name

KRestartSamplerAdv

Category
sampling
Author
ssitu (Account age: 1698days)
Extension
Restart Sampling
Latest Updated
2024-05-22
Github Stars
0.08K

How to Install Restart Sampling

Install this extension via the ComfyUI Manager by searching for Restart Sampling
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Restart Sampling 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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KSampler With Restarts (Advanced) Description

Enhances AI art sampling with restart mechanisms for refined outputs.

KSampler With Restarts (Advanced):

KRestartSamplerAdv is an advanced node designed to enhance the sampling process in AI art generation by incorporating restart mechanisms. This node is particularly useful for artists looking to achieve more refined and controlled outputs by allowing the sampling process to restart under specific conditions. The advanced features of this node provide greater flexibility and customization, enabling you to fine-tune the sampling behavior to suit your creative needs. By leveraging the restart capabilities, you can mitigate issues such as noise accumulation and improve the overall quality of the generated images. This node is ideal for complex projects where precision and control over the sampling process are paramount.

KSampler With Restarts (Advanced) Input Parameters:

sampler

The sampler parameter specifies the sampling method to be used. This is a critical input as it determines the underlying algorithm that will generate the samples. The sampler can be any predefined or custom sampling method compatible with the node. This parameter does not have a default value and must be provided for the node to function correctly. The choice of sampler can significantly impact the quality and characteristics of the generated images.

chunked_mode

The chunked_mode parameter is a boolean option that controls whether the sampling process should be executed in chunks. When set to True, the sampling is performed in smaller segments, which can help manage memory usage and improve performance for large-scale projects. The default value for this parameter is True. Enabling chunked mode can be particularly beneficial when working with high-resolution images or complex models, as it allows for more efficient processing and can prevent potential memory overflow issues.

KSampler With Restarts (Advanced) Output Parameters:

SAMPLER

The output of the KRestartSamplerAdv node is a modified SAMPLER that incorporates the restart mechanisms specified by the input parameters. This enhanced sampler is designed to provide more controlled and refined sampling results, improving the overall quality of the generated images. The output sampler retains all the original functionalities of the input sampler while adding the ability to restart the sampling process under certain conditions, offering greater flexibility and precision in your AI art projects.

KSampler With Restarts (Advanced) Usage Tips:

  • To achieve the best results, experiment with different samplers to find the one that best suits your artistic style and project requirements.
  • Utilize the chunked_mode parameter when working with large or complex images to optimize performance and manage memory usage effectively.
  • Combine the KRestartSamplerAdv node with other nodes in your workflow to create more intricate and detailed art pieces, leveraging the restart capabilities to refine the output.

KSampler With Restarts (Advanced) Common Errors and Solutions:

"RestartSampler: missing restart_sampler option!"

  • Explanation: This error occurs when the restart_wrapped_sampler option is not provided, which is essential for the node to function correctly.
  • Solution: Ensure that you specify a valid sampler in the sampler input parameter. Double-check that the sampler is correctly defined and compatible with the node.

"Invalid chunked_mode value"

  • Explanation: This error indicates that the chunked_mode parameter has been set to an invalid value.
  • Solution: Verify that the chunked_mode parameter is set to either True or False. Correct any typos or incorrect values in the parameter settings.

"Sampler function not found"

  • Explanation: This error suggests that the specified sampler does not have a valid sampler_function.
  • Solution: Ensure that the sampler you are using includes a sampler_function method. If using a custom sampler, make sure it is properly implemented and compatible with the KRestartSamplerAdv node.

KSampler With Restarts (Advanced) Related Nodes

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