Project Title
dia — A 1.6B Parameter TTS Model for Ultra-Realistic Dialogue Generation
Overview
dia is a 1.6B parameter text-to-speech model developed by Nari Labs, capable of generating highly realistic dialogue in a single pass. It allows for conditioning on audio to control emotion and tone, and can produce nonverbal communications like laughter and coughing. The model is designed to accelerate research in the field by providing pretrained model checkpoints and inference code.
Key Features
- Directly generates realistic dialogue from transcripts
- Conditions output on audio for emotion and tone control
- Produces nonverbal communications like laughter and coughing
- Pretrained model checkpoints and inference code available
- Supports English generation only
Use Cases
- Researchers and developers working on dialogue systems and natural language processing
- Content creators looking to generate realistic dialogues for videos or podcasts
- Enterprises needing to automate customer service dialogues
Advantages
- High parameter count (1.6B) for detailed and nuanced speech generation
- Open-source availability for community contributions and improvements
- Integration with Hugging Face Transformers for easier usage
Limitations / Considerations
- Currently supports English language generation only
- Input text length should be moderate to avoid unnatural speech
- Overuse of non-verbal tags may cause artifacts in the generated dialogue
Similar / Related Projects
- ElevenLabs Studio: A platform for creating and customizing digital voices, with a different approach to dialogue generation.
- Sesame CSM-1B: A 1B parameter text-to-speech model, smaller in scale compared to dia but still relevant in the field.
Basic Information
- GitHub: https://github.com/nari-labs/dia
- Stars: 17,794
- License: Apache 2.0
- Last Commit: 2025-08-04
📊 Project Information
- Project Name: dia
- GitHub URL: https://github.com/nari-labs/dia
- Programming Language: Python
- ⭐ Stars: 17,794
- 🍴 Forks: 1,493
- 📅 Created: 2025-04-19
- 🔄 Last Updated: 2025-08-04
🏷️ Project Topics
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