Auralis (xtts2-gpt)
| Property | Value |
|---|---|
| Developer | AstraMind AI |
| License | Apache 2.0 |
| Base Model | XTTS-v2 |
| Model URL | https://huggingface.co/AstraMindAI/xtts2-gpt |
What is xtts2-gpt?
Auralis (xtts2-gpt) is a cutting-edge text-to-speech model built on Coqui XTTS-v2 architecture, designed for high-performance speech synthesis. It stands out for its ability to process extensive texts rapidly while maintaining natural-sounding output across 15+ languages. The model is optimized for consumer-grade hardware, requiring less than 10GB VRAM on standard GPUs like the NVIDIA RTX 3090.
Implementation Details
The model implements a sophisticated architecture optimized for both speed and quality. It utilizes smart batching techniques and memory optimization to handle long-form content efficiently. The implementation includes streaming capabilities for continuous playback and supports both synchronous and asynchronous workflows through a Python API.
- Memory Usage: Base VRAM ~4GB, Peak VRAM ~10GB
- Processing Speed: Short phrases (<100 chars) in ~1 second, Full books (~100K chars) in ~10 minutes
- Voice Cloning: Supports custom voice generation from short reference audio
- Multilingual Support: 15+ languages including English, Spanish, French, German, and more
Core Capabilities
- High-speed text processing with smart batching
- Voice cloning from short reference clips
- Background noise reduction and volume normalization
- Automatic language detection
- Streaming mode for continuous playback
- Concurrent request handling
Frequently Asked Questions
Q: What makes this model unique?
Auralis stands out for its exceptional processing speed, handling entire books in minutes while maintaining high-quality output. It's also notable for its hardware efficiency and extensive language support, making it practical for both consumer and professional applications.
Q: What are the recommended use cases?
The model is ideal for content creators generating audiobooks and podcasts, developers integrating TTS into applications, accessibility solutions for visually impaired users, and multilingual content generation. It's particularly well-suited for long-form content processing and real-time applications.
