nari-labs/dia
A TTS model capable of generating ultra-realistic dialogue in one pass.
Built on a 1.6B parameter architecture, Dia directly synthesizes multi-speaker dialogue from transcripts with audio conditioning for voice cloning and emotion control, supporting nonverbal tags like laughter and coughing. Integrates with Hugging Face Transformers and provides inference through Python APIs, CLI, and Gradio UI, with realtime factor performance ranging from 0.9x–2.2x on RTX 4090 depending on precision. Uses the Descript Audio Codec for audio generation and supports speaker consistency via seed fixing or audio prompts.
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Language
Python
License
Apache-2.0
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Last pushed
Nov 19, 2025
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