ComfyUI Node: KSampler With Restarts (Custom)

KSampler With Restarts (Custom):

The KRestartSamplerCustom node is designed to enhance the sampling process in AI art generation by incorporating restart mechanisms. This node allows you to restart the sampling process at specific intervals or conditions, which can help in achieving more refined and controlled outputs. By leveraging custom restart options, you can fine-tune the sampling behavior to better suit your artistic needs, ensuring that the generated images meet your desired quality and style. The primary goal of this node is to provide greater flexibility and control over the sampling process, making it a valuable tool for AI artists looking to push the boundaries of their creative projects.

KSampler With Restarts (Custom) Input Parameters:

sampler

The sampler parameter specifies the base sampler to be used in the restart sampling process. This is a critical component as it defines the initial sampling behavior and characteristics. The sampler can be any predefined or custom sampler that you wish to use as the foundation for the restart mechanism. This parameter does not have a default value and must be provided.

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 more granular control and potentially better results. The default value for this parameter is True, but it can be set to False if you prefer a continuous sampling process without chunking.

KSampler With Restarts (Custom) Output Parameters:

SAMPLER

The output of the KRestartSamplerCustom node is a modified sampler that incorporates the restart mechanisms specified by the input parameters. This enhanced sampler can be used in subsequent stages of the AI art generation process to produce images with improved quality and consistency. The output sampler retains all the original functionalities of the base sampler while adding the benefits of the custom restart options.

KSampler With Restarts (Custom) Usage Tips:

• To achieve the best results, experiment with different base samplers and observe how the restart mechanisms affect the output. This can help you find the optimal combination for your specific artistic goals.
• Utilize the chunked_mode parameter to control the granularity of the sampling process. For highly detailed images, enabling chunked mode can provide better control and refinement.

KSampler With Restarts (Custom) Common Errors and Solutions:

RestartSampler: missing restart_sampler option!

• Explanation: This error occurs when the restart_wrapped_sampler option is not provided or is invalid.
• Solution: Ensure that you have specified a valid sampler in the sampler input parameter. Double-check the sampler configuration and try again.

ValueError: 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 the value and re-run the node.

TypeError: sampler_function() missing required positional argument

• Explanation: This error suggests that the sampler_function is missing one or more required arguments.
• Solution: Ensure that all necessary arguments are provided to the sampler_function. Check the function signature and input parameters for completeness.