ComfyUI Node: Aligned Scheduler

Aligned Scheduler:

The Aligned Scheduler node is designed to provide a customized scheduling mechanism for AI models, particularly in the context of sampling processes. This node allows you to align the steps of your model's sampling process with specific sigma values, which are crucial for controlling the noise levels during the generation process. By using this scheduler, you can achieve more precise and controlled outputs, enhancing the quality and consistency of your generated images or data. The main goal of the Aligned Scheduler is to offer flexibility and control over the sampling process, making it easier to fine-tune the performance of your AI models.

Aligned Scheduler Input Parameters:

model

This parameter specifies the AI model that will be used for the sampling process. The model should be compatible with the scheduler and capable of providing the necessary sigma values for the sampling steps.

steps

This integer parameter defines the number of steps to be used in the sampling process. The number of steps directly impacts the granularity and precision of the sampling. The default value is 10, with a minimum of 1 and a maximum of 10000.

model_type

This parameter allows you to select the type of model you are using. The available options are "SD1", "SDXL", and "SVD". Each model type has its own set of predefined timestep indices that are used to calculate the sigma values.

force_sigma_min

This boolean parameter determines whether to force the minimum sigma value at the end of the sampling process. If set to True, the minimum sigma value will be included in the final sigma list. The default value is False.

Aligned Scheduler Output Parameters:

SIGMAS

This output parameter provides the calculated sigma values for the specified number of steps. These sigma values are essential for controlling the noise levels during the sampling process, ensuring that the generated outputs are of high quality and consistency.

Aligned Scheduler Usage Tips:

• To achieve more precise control over the sampling process, adjust the steps parameter according to the complexity of your model and the desired output quality.
• Use the model_type parameter to select the appropriate model type that matches your AI model, ensuring compatibility and optimal performance.
• If you need to include the minimum sigma value in your sampling process, set the force_sigma_min parameter to True.

Aligned Scheduler Common Errors and Solutions:

"Model object not found"

• Explanation: This error occurs when the specified model is not available or cannot be accessed.
• Solution: Ensure that the model is correctly loaded and accessible before running the scheduler.

"Invalid model type"

• Explanation: This error occurs when an unsupported model type is selected.
• Solution: Verify that the model_type parameter is set to one of the supported types: "SD1", "SDXL", or "SVD".

"Steps out of range"

• Explanation: This error occurs when the steps parameter is set to a value outside the allowed range.
• Solution: Adjust the steps parameter to a value within the range of 1 to 10000.

"Force sigma min must be a boolean"

• Explanation: This error occurs when the force_sigma_min parameter is not set to a boolean value.
• Solution: Ensure that the force_sigma_min parameter is set to either True or False.