ComfyUI-SopranoTTS is a set of custom nodes designed for the ComfyUI platform that integrates with the Soprano TTS model, enabling rapid and efficient text-to-speech synthesis. This tool allows users to generate speech from text inputs, either individually or in batches, while maintaining a lightweight footprint.
- Utilizes the Soprano TTS model for high-quality text-to-speech synthesis.
- Supports batch processing for multiple text inputs, enhancing efficiency in audio generation.
- Offers streaming capabilities for real-time audio output with reduced latency.
Context
ComfyUI-SopranoTTS serves as an extension for ComfyUI, providing specialized nodes that facilitate the integration of the Soprano text-to-speech model. Its primary goal is to streamline the process of converting text into speech, making it accessible and efficient for users looking to incorporate TTS functionality into their workflows.
Key Features & Benefits
The tool includes several key features such as the SopranoLoader, which loads the TTS model for reuse across multiple sessions, thereby saving time and resources. The SopranoTTS node generates speech from text inputs, while the SopranoTTSBatch node allows for the simultaneous processing of multiple texts, significantly improving productivity. Additionally, the SopranoTTSStream node offers low-latency streaming capabilities, making it suitable for applications requiring immediate audio feedback.
Advanced Functionalities
SopranoTTS supports advanced parameters such as temperature, top-p, and repetition penalty, which allow users to fine-tune the speech generation process. This level of control enables the creation of more natural-sounding speech outputs tailored to specific needs. The streaming functionality, which is limited to the lmdeploy backend, further enhances the user experience by enabling real-time audio generation.
Practical Benefits
By incorporating ComfyUI-SopranoTTS into their workflows, users can achieve greater control over audio synthesis, leading to higher quality outputs and improved efficiency. The ability to batch process text and utilize streaming generation significantly reduces the time required for TTS tasks, making it a valuable tool for developers and content creators alike.
Credits/Acknowledgments
This project is based on the Soprano TTS model and is maintained under the MIT license. Acknowledgments go to the original authors and contributors who have developed and supported the Soprano TTS framework.