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Automate batch processing parameters for AI art projects, track iterations, and ranges efficiently.
The JDCN_BatchCounter
node is designed to help you manage and manipulate batch processing parameters in your AI art projects. This node allows you to perform operations on batch counters, making it easier to keep track of iterations and ranges during your creative process. By using this node, you can automate the counting and logging of batch operations, which can be particularly useful for tasks that require repetitive processing or incremental adjustments. The primary function of this node is to calculate a result based on the provided lap and range values, while also offering options to log the operations and adjust the lap count in various ways.
The Lap
parameter represents the current iteration or cycle count in your batch processing. It is an integer value that can range from 0 to 0xffffffffffffffff, with a default value of 0. This parameter is crucial for keeping track of how many times a particular operation has been performed, allowing you to manage and control the flow of your batch processes effectively.
The Range
parameter defines the scope or extent of each batch operation. It is an integer value that can range from 0 to 0xffffffffffffffff, with a default value of 0. This parameter determines the size or limit of each batch, helping you to segment your tasks into manageable units. Adjusting the range can impact the overall processing time and resource allocation for your projects.
The LapChange
parameter allows you to specify how the lap count should be adjusted during the batch processing. It offers three options: fixed
, increment
, and decrement
. Choosing fixed
will keep the lap count constant, while increment
will increase the lap count by one, and decrement
will decrease it by one. This parameter provides flexibility in managing the iteration flow, enabling you to customize the behavior of your batch operations according to your needs.
The Log
parameter is a string input that allows you to specify a log message or note for the batch operation. It supports multiline text, with a default value of "Log". This parameter is useful for documenting the details of each batch process, making it easier to track and review the operations performed. Logging can help you maintain a clear record of your workflow, which is beneficial for debugging and future reference.
The result
output parameter is an integer value that represents the product of the Lap
and Range
input parameters. This value provides a quantitative measure of the batch operation, which can be used for further processing or analysis. The result helps you understand the cumulative effect of the iterations and ranges applied in your batch processing.
The lap
output parameter is an integer value that reflects the current lap count after any adjustments specified by the LapChange
parameter. This output helps you keep track of the iteration count, ensuring that you have an accurate record of how many times the batch operation has been performed.
The range
output parameter is an integer value that mirrors the Range
input parameter. This output confirms the scope or extent of each batch operation, providing a consistent reference for the size or limit of the batches processed.
fixed
option for the LapChange
parameter.Log
parameter to document each batch operation, which can be helpful for tracking progress and debugging.Range
parameter to control the size of each batch, optimizing the processing time and resource usage for your specific project needs.FileNames
input is empty.FileNames
input parameter.LapChange
parameter.fixed
, increment
, or decrement
.Lap
or Range
values exceed their specified limits.Lap
and Range
values are within the acceptable range (0 to 0xffffffffffffffff). Adjust the values accordingly to stay within these limits.© Copyright 2024 RunComfy. All Rights Reserved.