Diatts
Dia TTS is an open-source text-to-speech model specialized in realistic multi-speaker dialogue generation, offering voice cloning, emotion/tone control, and direct non-verbal sound synthesis. It is released under the Apache 2.0 license and optimized for real-time use on consumer-grade GPUs.
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Quick Overview
Best for: Content & Marketing
What it does
Voice & Speech software for decision-makers comparing workflow fit and alternatives.
Best fit
Content & Marketing
Pricing snapshot
Free from Free (Apache 2.0)
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Diatts
Dia TTS is an advanced open-source text-to-speech system designed to generate ultra-lifelike multi-speaker conversations. Unlike traditional TTS, Dia TTS models natural dialogue phenomena such as pauses, interruptions, and variable speaking speeds, and it supports direct generation of non-verbal sounds (e.g., laughter, coughing). Its toolset includes voice cloning from short reference audio, fine-grained emotion and tone control, and open weights and code under the Apache 2.0 license.
Target users include content creators, game developers, language teachers, and teams building virtual assistants or customer support systems who need realistic conversational audio without proprietary licensing or subscription fees. The project emphasizes transparency and extensibility, providing model weights and code for researchers and developers to customize and deploy.
Dia TTS is an open-source text-to-speech model specialized in realistic multi-speaker dialogue generation, offering voice cloning, emotion/tone control, and direct non-verbal sound synthesis. It is released under the Apache 2.0 license and optimized for real-time use on consumer-grade GPUs.
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Claim this listingKey Features
Realistic Dialogue Generation
Generates multi-speaker conversations with natural timing, tone, and dialogue dynamics such as pauses and interruptions, preserving distinct voices per speaker tag.
Non-Verbal Sound Support
Produces non-verbal sounds (laughs, coughs, throat clearing) directly from text cues like (laughs) or (coughs), removing the need for separate sound effects.
Voice Cloning
Clones voice style and emotional characteristics from a short audio sample plus transcript to produce consistent custom voices across content.
Emotion and Tone Control
Allows fine-tuning of emotional delivery and tone, enabling context-appropriate output from neutral narration to emotionally charged lines.
Open Source (Apache 2.0)
Model weights and code are publicly available under the Apache 2.0 license, permitting free commercial use and modification.
Large-Scale Model (1.6B parameters)
Uses a 1.6 billion parameter transformer to capture intonation, rhythm, and long-range context for coherent extended passages.
Transformer Architecture
Employs transformer-based modeling optimized for processing long text sequences and maintaining context across dialogue.
Audio Conditioning
Supports reference-audio conditioning to guide voice style, emotion, and tone for more precise output control.
Optimized for Real-Time
Designed to run efficiently on consumer-grade GPUs; example performance noted is ~40 tokens/second on an A4000 GPU (requires CUDA and sufficient VRAM).
Simple Multi-Speaker Input
Uses simple speaker tags (e.g., [S1], [S2]) and text-based non-verbal cues for straightforward script-driven generation.
Pricing
Fully open-source under the Apache 2.0 license; free for commercial and personal use with access to weights and code.
Open Source
Free (Apache 2.0)- Full access to model weights and code
- Commercial use allowed under Apache 2.0
- Self-hosting and customization
Use Cases
Content Creation
Generate dialogue for podcasts, audiobooks, and videos with multiple speakers and embedded non-verbal sounds, streamlining production and editing.
Language Learning
Create realistic conversational practice material for listening and speaking exercises, with controllable emotion and natural timing.
Customer Support & Virtual Assistants
Power virtual assistants and automated support voices that feel more human-like, improving user satisfaction and engagement.
Game Development
Provide lifelike character voices and interactions—useful for indie developers and prototyping where hiring actors may be infeasible.
Advertising and Marketing
Produce expressive voiceovers with A/B-testable emotional tones for ads and promotional materials.
Integrations
GitHub
Code, model weights, and resources are published on GitHub for cloning, issue tracking, and community contributions.
NVIDIA CUDA / Consumer GPUs
Runs on NVIDIA GPUs with CUDA support (recommended minimum 10GB VRAM); integrates with local GPU environments for real-time inference.
Benefits
Limitations
Frequently Asked Questions
What is Dia TTS?
How does Dia TTS handle multiple speakers?
What makes Dia TTS unique?
What hardware is required to run Dia TTS?
Does Dia TTS support voice cloning?
What languages does Dia TTS support?
How does Dia TTS handle non-verbal sounds?
Is Dia TTS free for commercial use?
How does audio conditioning work in Dia TTS?
Getting Started
- 1 Step 1: Input your script into the Dia TTS interface, using speaker tags like [S1], [S2] and optional non-verbal cues such as (laughs).
- 2 Step 2: (Optional) Upload a reference audio file to condition voice style or enable voice cloning for a custom voice.
- 3 Step 3: Click "Generate" to produce speech; preview the generated audio and download the output file if satisfied.
Support
Contact support via [email protected] for questions and assistance.
GitHub (issues & code)
Open-source repository and issue tracker available on GitHub for bug reports, contribution, and access to weights and code.
documentation
Documentation and usage resources are available in the project repository on GitHub (specific docs links not provided on page).
API
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