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Facilitates storage and retrieval of speaker models for voice synthesis projects.
The CosyVoiceSaveSpeakerModelNode
is designed to facilitate the storage of speaker models within a specified directory, ensuring that these models are easily accessible for future use. This node is particularly beneficial for users who work with voice synthesis and need to manage multiple speaker models efficiently. By saving the models in a structured manner, it helps in organizing and retrieving them without hassle. The node's primary function is to take a speaker model and save it to a designated directory with a specified name, making it a crucial component for maintaining a library of speaker models. This capability is essential for projects that require consistent and repeatable voice synthesis results, as it allows users to save and reuse models without the need to recreate them each time.
The spk_model
parameter represents the speaker model that you wish to save. This model is typically a trained neural network that can generate speech in a specific voice. The parameter is crucial as it contains the data and structure necessary for voice synthesis. There are no specific minimum or maximum values for this parameter, as it is a complex data structure rather than a simple numeric or string value.
The speaker_name
parameter is a string that specifies the name under which the speaker model will be saved. This name is used to create the filename for the model, ensuring that it can be easily identified and retrieved later. The choice of name is important for organization and should be descriptive enough to distinguish between different models. There are no strict constraints on the length or content of the name, but it should be unique within the directory to avoid overwriting existing models.
The model_dir
parameter is a string that indicates the directory path where the speaker model will be saved. If the specified directory does not exist, the node will create it, ensuring that the model can be stored without errors. This parameter is essential for defining the storage location and organizing models in a way that aligns with your project structure. The default value is determined by the function get_speaker_default_path()
, which provides a standard location if no specific directory is provided.
This node does not produce any direct output parameters. Instead, its primary function is to save the speaker model to the specified directory, and it returns the filename of the saved model as a confirmation of successful execution.
speaker_name
is unique within the model_dir
to prevent accidental overwriting of existing models.model_dir
path is correct and accessible to avoid permission issues or errors during the saving process.model_dir
and speaker_name
to ensure they are correct and that the model file is present in the specified location.© Copyright 2024 RunComfy. All Rights Reserved.