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Node for advanced text-to-speech synthesis with AI models for natural, high-quality voice outputs.
The IndexTTSRun
node is designed to facilitate text-to-speech (TTS) conversion using advanced machine learning models. It leverages a combination of audio prompts and textual input to generate speech outputs that are both natural and contextually relevant. This node is particularly beneficial for applications requiring high-quality voice synthesis, such as virtual assistants, audiobooks, and interactive media. By integrating sophisticated models like GPT and BigVGAN, IndexTTSRun
ensures that the generated speech is not only accurate in terms of pronunciation and intonation but also adaptable to different languages and dialects. The node's primary goal is to provide a seamless and efficient TTS solution that can be easily integrated into various AI-driven projects, enhancing user interaction through realistic voice outputs.
The version
parameter specifies the version of the TTS model to be used. It offers options such as "v1.5" and "V1.0", with "v1.5" being the default. This parameter impacts the model's performance and the quality of the generated speech, as different versions may have varying levels of optimization and feature sets.
The audio_prompt
parameter is an audio input that serves as a reference for the TTS process. It is expected to be in the form of an audio waveform, which helps in conditioning the model to produce speech that matches the desired tone and style. This parameter is crucial for achieving a natural and coherent speech output.
The text
parameter is a string input that represents the textual content to be converted into speech. It is a required field and must be provided by the user. The text input directly influences the content of the generated speech, and its quality can affect the clarity and accuracy of the TTS output.
The wavs
output parameter contains the generated audio waveform(s) resulting from the TTS process. This output is crucial as it represents the final speech synthesis, which can be used in various applications such as voiceovers, virtual assistants, and more. The quality and naturalness of the wavs
output are directly influenced by the input parameters and the model version used.
audio_prompt
is clear and of high quality to achieve the best results in speech synthesis.version
options to find the model that best suits your specific needs in terms of voice quality and performance.audio_prompt
parameter is not provided or is incorrectly formatted.audio_prompt
is correctly specified and that the audio file is accessible and in the correct format.text
parameter is missing, which is essential for the TTS process.text
parameter before executing the node.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.