ComfyUI-SparkTTS is a specialized node for ComfyUI that integrates SparkTTS, an advanced text-to-speech (TTS) system utilizing large language models to produce natural and precise speech synthesis. This tool allows users to create and clone voices with customizable attributes, enhancing the audio generation capabilities within the ComfyUI environment.
- Supports voice creation and cloning with adjustable parameters like gender, pitch, and speed.
- Enables audio recording directly within the interface for immediate processing and voice cloning.
- Offers internationalization features, making it accessible for users across different languages.
Context
ComfyUI-SparkTTS is designed to enhance the ComfyUI framework by adding robust text-to-speech functionalities. It leverages the capabilities of SparkTTS to provide users with tools for generating high-quality speech from text, facilitating a variety of applications in multimedia and accessibility.
Key Features & Benefits
The tool provides several practical features, including:
- Voice Creation: Users can personalize voice characteristics, allowing for diverse applications in content creation and user interaction.
- Voice Cloning: This feature enables the replication of existing voices from audio samples, which is particularly useful for projects requiring specific vocal identities.
- Audio Recording: Directly recording audio simplifies the process of creating voice samples, making the workflow more efficient.
Advanced Functionalities
ComfyUI-SparkTTS includes advanced voice cloning capabilities, allowing users to manipulate pitch and speed beyond basic cloning. This level of control can significantly enhance the realism and expressiveness of synthesized speech, catering to specific project needs.
Practical Benefits
By integrating this tool into ComfyUI, users can streamline their workflow for audio generation, improve the quality of synthesized speech, and gain more control over vocal attributes. This leads to enhanced productivity and the ability to create more engaging and personalized audio content.
Credits/Acknowledgments
The project is maintained under the GPL-3.0 License, and its development is attributed to the contributors of the SparkTTS project, which can be found on GitHub.