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Facilitates batch loading and processing of audio files with filters and automation for AI artists and developers.
The TT-LoadBatch node is designed to facilitate the loading and processing of audio files in batch mode, making it an essential tool for handling multiple audio files efficiently. This node is particularly useful for AI artists and developers working with audio data, as it streamlines the process of loading audio files from a specified directory, applying filters based on file extensions, and optionally using regular expressions to include or exclude certain files. By automating the batch loading of audio files, TT-LoadBatch significantly reduces the manual effort required to manage large audio datasets, allowing you to focus on creative and analytical tasks. The node ensures that only valid audio files are processed, enhancing the reliability and accuracy of subsequent audio processing tasks.
The base_folder
parameter specifies the root directory from which the audio files will be loaded. It can take values such as 'input'
or 'root'
, determining whether the files are loaded from a predefined input directory or the root directory. This parameter is crucial as it sets the starting point for the file search, impacting which files are available for processing.
The path
parameter defines the specific subdirectory within the base_folder
where the audio files are located. This allows for precise targeting of the desired files, ensuring that only files within the specified path are considered for loading. It is important for organizing and accessing files in a structured manner.
The regex_match
parameter allows you to specify a regular expression pattern to filter files that should be included in the batch. This is useful for selecting files that match certain naming conventions or patterns, providing flexibility in file selection based on specific criteria.
The regex_exclude
parameter is used to define a regular expression pattern for excluding files from the batch. This helps in removing unwanted files that may otherwise be included, ensuring that only relevant files are processed. It is particularly useful for excluding files that do not meet certain criteria.
The audio_batch
output is a list of dictionaries, each containing information about an audio file, such as its filename and file path. This output is essential as it provides a structured representation of the loaded audio files, ready for further processing or analysis.
The batch_size
output indicates the number of audio files successfully loaded into the batch. This is important for understanding the scale of the batch and for planning subsequent processing steps that depend on the number of files.
The file_list
output is a list of filenames that were included in the batch. This output is useful for verification and logging purposes, allowing you to confirm which files were processed and to maintain a record of the batch contents.
base_folder
and path
parameters are correctly set to avoid loading files from unintended directories.regex_match
and regex_exclude
to fine-tune the selection of files, especially when dealing with large datasets with mixed file types.file_list
output to ensure that the correct files are being processed, which can help in troubleshooting and maintaining data integrity.<path_dir>
does not existbase_folder
and path
parameters are correctly set and that the directory exists on the file system.<path_dir>
is not a directorypath
parameter points to a valid directory and not a file.regex_match
or regex_exclude
criteria.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.