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Facilitates sequential processing of text lines for controlled operations, maintaining line order and session persistence.
The Bjornulf_LoopLinesSequential
node is designed to facilitate the sequential processing of lines from a given text input. Its primary function is to iterate through each line of text, allowing you to perform operations on each line in a controlled and orderly manner. This node is particularly useful when you need to handle text data line-by-line, ensuring that each line is processed in sequence without skipping or repeating. It maintains a counter to track the current line being processed, which is stored in a file to persist across sessions. This feature is beneficial for tasks that require consistent and repeatable processing of text data, such as generating outputs based on specific lines or managing large text datasets in a structured way.
The text
parameter is the main input for the node, where you provide the text data that you want to process line-by-line. This parameter expects a string input, which can be a multi-line text block. Each line in the text will be treated as a separate entity for processing. The node will strip any leading or trailing whitespace from each line and ignore empty lines, ensuring that only meaningful content is processed. There are no specific minimum or maximum values for this parameter, but the text should be formatted in a way that each line represents a distinct unit of data you wish to process.
The jump
parameter determines the step size for line iteration. It specifies how many lines to skip after processing a line, allowing you to control the pace of line processing. For example, a jump
value of 1 means the node will process every line sequentially, while a value of 2 will process every other line. This parameter is crucial for scenarios where you need to sample lines at specific intervals or when you want to process lines in a non-continuous manner. The default value is typically 1, but it can be adjusted based on your specific requirements.
The next_line
output provides the content of the next line to be processed based on the current position and the jump
parameter. This output is essential for accessing the specific line of text that the node is currently handling, allowing you to perform further operations or transformations on it.
The remaining_cycles
output indicates the number of remaining cycles or iterations that can be performed before reaching the end of the text. This output helps you understand how many more lines can be processed given the current position and jump
value, which is useful for planning subsequent operations or managing resources.
The line_number
output provides the 1-based index of the current line being processed. This output is helpful for tracking progress through the text and can be used for logging or debugging purposes to ensure that the correct lines are being processed in the expected order.
jump
parameter to control the pace of line processing. A smaller jump
value will process lines more frequently, while a larger value will skip more lines, which can be useful for sampling or reducing processing load.counter_lines.txt
file, or adjust the input text to include more lines if needed.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.