This repository provides a Text-to-Speech (TTS) application that utilizes Whisper Speech technology for generating voice outputs. It enables users to train custom voice models in real-time while integrated with ComfyUI, enhancing both training and inference speed.
- On-the-fly voice training allows for quick customization of voice models using brief audio samples.
- Fast inference is supported through optional
torch_Compile, improving performance during both training and voice generation. - Designed specifically for ComfyUI, it seamlessly integrates into existing workflows for enhanced usability.
Context
This tool is an extension for ComfyUI that focuses on transforming text into speech using advanced voice synthesis techniques. It empowers users to create and refine voice models dynamically, making it a valuable asset for projects requiring personalized audio outputs.
Key Features & Benefits
The primary advantage of this tool is its ability to train voice models on-the-fly, which means users can quickly adapt the TTS system to their specific needs without extensive setup. Additionally, the fast inference capabilities ensure that users can generate high-quality speech outputs rapidly, making it suitable for applications where time is critical.
Advanced Functionalities
One of the standout features is the support for torch_Compile, which significantly boosts the efficiency of both training and inference processes. This allows users to leverage the power of optimized computations, resulting in faster response times and smoother operation.
Practical Benefits
By incorporating this TTS application into their workflows, users can achieve greater control over voice customization, leading to improved audio quality and efficiency in projects. The ability to train models quickly enhances productivity, allowing for rapid iterations and adjustments based on user feedback or specific requirements.
Credits/Acknowledgments
This tool is developed by Collabora and is open-source, encouraging contributions and enhancements from the community. The repository is licensed under conditions that facilitate collaboration and sharing among developers and users alike.