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Perform modulus operation on sigma values for efficient sigma schedule management in computational processes like AI art generation.
The Sigmas Modulus node is designed to perform a mathematical operation known as the modulus on a sequence of sigma values. This operation is particularly useful in scenarios where you need to determine the remainder of division between each sigma value and a specified divisor. By applying the modulus operation, this node helps in managing and manipulating sigma schedules, which are often used in various computational processes, including those in AI art generation. The primary benefit of using this node is its ability to handle sigma values efficiently, allowing for more controlled and precise adjustments in your workflows. This can be especially important when working with iterative processes or when fine-tuning parameters to achieve desired artistic effects.
The sigmas
parameter represents a sequence of sigma values that you want to process using the modulus operation. These values are essential in various computational tasks, and the node requires them as input to perform its function. The sigmas are expected to be provided in a format that the node can interpret and process, ensuring that the operation is applied correctly.
The divisor
parameter is a floating-point number that determines the divisor used in the modulus operation. It plays a crucial role in the calculation, as it defines the value against which each sigma in the sequence will be divided to find the remainder. The divisor can range from -1000 to 1000, with a default value of 1. This flexibility allows you to adjust the divisor according to your specific needs, enabling precise control over the modulus operation's outcome.
The output of the Sigmas Modulus node is a sequence of sigma values that have been processed through the modulus operation. This output retains the same structure as the input sigmas but with each value modified to reflect the remainder of its division by the specified divisor. The resulting sequence can be used in subsequent nodes or processes, providing a refined set of sigma values that can enhance the control and precision of your computational tasks.
divisor
is not set to zero, as this will cause a division error. Adjust the divisor within the allowed range to achieve the desired effect on your sigma values.divisor
is set to zero, which is not allowed in modulus operations.divisor
is set to a non-zero value within the range of -1000 to 1000.sigmas
input is not in the expected format or is missing.sigmas
input is correctly formatted and provided as required by the node.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.