ComfyUI Node: 文本组合(meeeyo.com)

文本组合(meeeyo.com):

The TextConcatenation node is designed to facilitate the combination of text segments based on specified rules, allowing you to create complex text structures from simpler components. This node is particularly useful for AI artists and content creators who need to dynamically generate text by merging different lines or segments according to predefined patterns. By leveraging this node, you can automate the process of text assembly, ensuring consistency and efficiency in your creative workflows. The primary function of this node is to take an original text and apply concatenation rules to produce multiple variations of the text, which can be used for various artistic or content generation purposes.

文本组合(meeeyo.com) Input Parameters:

original_text

The original_text parameter is a multiline string input that serves as the base content from which text segments will be extracted and combined. This parameter allows you to input the raw text data that you wish to manipulate. The content of this parameter is split into lines, which are then used in conjunction with the concatenation rules to generate new text outputs. There is no strict minimum or maximum length for this input, but it should be formatted in a way that aligns with the intended concatenation rules.

concatenation_rules

The concatenation_rules parameter is a multiline string input that defines the patterns and rules for combining the lines from the original_text. Each rule specifies how different lines should be merged, using placeholders like [1], [2], etc., to represent specific lines from the original text. This parameter is crucial for determining the structure of the output text, and it allows for creative flexibility in how the text is assembled. The rules should be clearly defined to ensure the desired output is achieved.

split_char

The split_char parameter is a string input that determines the character used to split the original_text into lines. By default, this is set to an empty string, which means the text will be split by newline characters. However, you can specify any character to customize how the text is divided into segments. This parameter is important for controlling the granularity of the text segments that are used in the concatenation process.

文本组合(meeeyo.com) Output Parameters:

STRING

The TextConcatenation node produces up to five string outputs, each representing a different variation of the concatenated text based on the provided rules. These outputs are generated by applying the concatenation rules to the lines extracted from the original_text. Each output string is a unique combination of the original text segments, allowing for diverse text generation. The outputs are particularly useful for creating multiple versions of a text, which can be used in different contexts or for testing various creative ideas.

文本组合(meeeyo.com) Usage Tips:

• Ensure that your concatenation_rules are well-defined and correspond to the lines in your original_text to avoid unexpected results.
• Use the split_char parameter to customize how your text is divided, especially if your text uses a delimiter other than a newline.
• Experiment with different rules to explore creative text combinations and find the most effective patterns for your project.

文本组合(meeeyo.com) Common Errors and Solutions:

"IndexError: list index out of range"

• Explanation: This error occurs when a rule in concatenation_rules references a line number that does not exist in the original_text.
• Solution: Ensure that your rules only reference valid line numbers present in the original_text.

"ValueError: invalid literal for int() with base 10"

• Explanation: This error may occur if the placeholders in concatenation_rules are not formatted correctly.
• Solution: Double-check that all placeholders in your rules are correctly formatted as [n], where n is a valid integer.

"Empty output"

• Explanation: If the output is empty, it might be due to incorrect split_char usage or improperly defined rules.
• Solution: Verify that the split_char is correctly set and that the concatenation_rules are properly aligned with the original_text.