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Simplify text placeholders with predefined or random values for dynamic content creation in various file formats.
The easy wildcards node is designed to simplify the process of dynamically replacing placeholders in text with predefined or randomly selected values. This functionality is particularly useful for AI artists who want to introduce variability and creativity into their text-based prompts or descriptions without manually editing each instance. By leveraging a dictionary of wildcards, the node can replace placeholders in a string with corresponding values, allowing for more dynamic and varied outputs. This node supports various file formats such as .txt
, .yaml
, and .json
to populate the wildcard dictionary, making it versatile and easy to integrate into different workflows. The main goal of the easy wildcards node is to enhance the flexibility and efficiency of text generation tasks, enabling users to create more diverse and interesting content with minimal effort.
The wildcard_path
parameter specifies the directory path where the wildcard files are located. These files can be in .txt
, .yaml
, or .json
format and contain the values that will be used to replace the placeholders in the text. The function reads these files and populates the easy_wildcard_dict
dictionary with the corresponding values. This parameter is crucial as it determines the source of the wildcard values, and an incorrect path will result in the node not being able to find and use the wildcards. There are no specific minimum or maximum values for this parameter, but it should be a valid directory path.
The string
parameter is the text that contains the placeholders to be replaced by the wildcards. Placeholders are denoted by double underscores (e.g., __placeholder__
). The function will search for these placeholders in the provided string and replace them with corresponding values from the easy_wildcard_dict
dictionary. This parameter is essential as it is the primary input that the node processes to generate the final output. There are no specific minimum or maximum values for this parameter, but it should be a valid string containing placeholders.
The replaced_string
parameter is the output text after all the placeholders have been replaced with the corresponding wildcard values. This output is generated by the replace_wildcard
function, which searches for placeholders in the input string and replaces them with values from the easy_wildcard_dict
dictionary. The replaced string is the final result that can be used in various applications, such as generating dynamic prompts or descriptions. This parameter is crucial as it represents the main output of the node, providing the user with a text that has been dynamically modified based on the wildcard values.
The replacements_found
parameter is a boolean value that indicates whether any placeholders were successfully replaced in the input string. This output is useful for determining if the node was able to find and replace any placeholders, providing feedback on the effectiveness of the wildcard replacement process. If no replacements were found, it may indicate an issue with the input string or the wildcard dictionary. This parameter helps users understand the outcome of the node's execution and take appropriate actions if necessary.
wildcard_path
parameter points to a valid directory containing .txt
, .yaml
, or .json
files with the wildcard values to avoid errors in loading the wildcards.replace_wildcard
function can accurately identify and replace them with the corresponding values from the easy_wildcard_dict
dictionary..json
file, possibly due to incorrect formatting or invalid JSON syntax..json
file is correctly formatted and contains valid JSON syntax. Use a JSON validator to check for any errors in the file.replace_wildcard
function is unable to find any placeholders in the input string that match the keys in the easy_wildcard_dict
dictionary.easy_wildcard_dict
dictionary is correctly populated with the corresponding values. Check the placeholder names for any typos or inconsistencies.© Copyright 2024 RunComfy. All Rights Reserved.