ComfyUI Node: Sigmas Pad

Sigmas Pad:

The Sigmas Pad node is designed to extend a sequence of sigma values by appending a specified value to the end of the sequence. This node is particularly useful when you need to adjust the length of your sigma sequence for further processing or analysis. By allowing you to add a custom value to the sequence, it provides flexibility in managing the data structure of your sigmas, which can be crucial for various computational tasks. The main goal of this node is to ensure that your sigma sequence can be easily modified to meet specific requirements, enhancing the adaptability and functionality of your workflow.

Sigmas Pad Input Parameters:

sigmas

The sigmas parameter represents the sequence of sigma values that you want to modify. This input is mandatory, as it forms the basis of the operation performed by the node. The sequence is expected to be in a format compatible with the node's processing capabilities, typically a tensor or array of numerical values. The sigmas parameter is crucial because it determines the initial state of the sequence before the padding operation is applied.

value

The value parameter specifies the numerical value that will be appended to the end of the sigma sequence. This parameter allows you to control the exact value that is added, providing flexibility in how the sequence is extended. The value can range from -10000 to 10000, with a default setting of 0.0. This wide range ensures that you can tailor the padding to suit a variety of needs, whether you require a small adjustment or a significant change to the sequence.

Sigmas Pad Output Parameters:

SIGMAS

The output parameter, SIGMAS, is the modified sequence of sigma values after the specified value has been appended. This output is crucial as it represents the new state of your sigma sequence, ready for subsequent processing or analysis. The SIGMAS output maintains the data type and structure of the input sequence, ensuring compatibility with other nodes or processes that may utilize this data.

Sigmas Pad Usage Tips:

• To ensure the appended value integrates smoothly with your existing sequence, consider the context in which the sequence will be used and choose a value that complements the existing data.
• Use the value parameter to introduce a specific bias or adjustment to your sigma sequence, which can be particularly useful in scenarios where the sequence needs to meet certain criteria or thresholds.

Sigmas Pad Common Errors and Solutions:

TypeError: Expected input to be a tensor

• Explanation: This error occurs when the sigmas input is not in the expected tensor format.
• Solution: Ensure that the sigmas input is a tensor. You may need to convert your data into a tensor format before passing it to the node.

ValueError: Value out of range

• Explanation: This error indicates that the value parameter is set outside the allowed range of -10000 to 10000.
• Solution: Adjust the value parameter to fall within the specified range. Double-check the input to ensure it adheres to the constraints.