ComfyUI Node: KSampler With Restarts

KSampler With Restarts:

The KRestartSampler node is designed to enhance the sampling process by incorporating restart mechanisms, which can improve the quality and diversity of generated images. This node is particularly useful in scenarios where the sampling process may benefit from periodic restarts to avoid local minima and ensure a more thorough exploration of the latent space. By integrating restart options, the KRestartSampler aims to provide more robust and reliable sampling results, making it a valuable tool for AI artists looking to achieve higher-quality outputs in their creative projects.

KSampler With Restarts Input Parameters:

sampler

The sampler parameter specifies the underlying sampling method to be used. This can be any compatible sampler that the KRestartSampler will wrap and enhance with restart capabilities. The choice of sampler can significantly impact the style and quality of the generated images, as different samplers have unique characteristics and behaviors.

chunked_mode

The chunked_mode parameter is a boolean option that determines whether the sampling process should be executed in chunks. When set to True, the sampling process is divided into smaller segments, allowing for periodic restarts within each chunk. This can help in achieving more diverse and refined results. The default value is True.

KSampler With Restarts Output Parameters:

SAMPLER

The output of the KRestartSampler node is a modified SAMPLER that incorporates the restart mechanisms specified by the input parameters. This enhanced sampler can be used in subsequent nodes or processes to generate images with improved quality and diversity. The output sampler retains all the functionalities of the original sampler while adding the benefits of the restart capabilities.

KSampler With Restarts Usage Tips:

• Experiment with different underlying samplers to see how the restart mechanism affects the results. Some samplers may benefit more from restarts than others.
• Use the chunked_mode parameter to control the granularity of the restarts. For highly detailed images, smaller chunks may yield better results.

KSampler With Restarts Common Errors and Solutions:

RestartSampler: missing restart_sampler option!

• Explanation: This error occurs when the restart_wrapped_sampler option is not provided to the KRestartSampler.
• Solution: Ensure that you specify a valid sampler in the sampler input parameter when using the KRestartSampler node.

ValueError: Invalid sampler type

• Explanation: This error indicates that the provided sampler type is not compatible with the KRestartSampler.
• Solution: Verify that the sampler you are using is supported by the KRestartSampler and is correctly specified in the input parameters.