--- title: "dia vs StyleTTS2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nari-labs-dia-vs-yl4579-styletts2" tools: ["nari-labs-dia", "yl4579-styletts2"] --- # dia vs StyleTTS2 *GraphCanon updated Jul 29, 2026* ## Verdict Pick dia if dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue; pick StyleTTS2 if styleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications. [dia](https://github.com/nari-labs/dia) reports 19k GitHub stars, 1.7k forks, and 91 open issues, last pushed Nov 19, 2025. [StyleTTS2](https://github.com/yl4579/StyleTTS2) has 6.3k stars, 694 forks, and 118 open issues, last pushed Aug 10, 2024. Figures are from public GitHub metadata via [dia's repository](https://github.com/nari-labs/dia) and [StyleTTS2's repository](https://github.com/yl4579/StyleTTS2). | | [dia](/tools/nari-labs-dia.md) | [StyleTTS2](/tools/yl4579-styletts2.md) | | --- | --- | --- | | Tagline | A TTS model for generating ultra-realistic dialogue | StyleTTS 2 advances human-like text-to-speech using style diffusion and adversarial training. | | Stars | 19,361 | 6,322 | | Forks | 1,688 | 694 | | Open issues | 91 | 118 | | Language | Python | Python | | Adopt for | Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. | StyleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dia](/tools/nari-labs-dia.md) | [StyleTTS2](/tools/yl4579-styletts2.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 251d | 718d | | Open issues (now) | 91 | 118 | | Owner type | Organization | User | | Full report | [trust report](/tools/nari-labs-dia/trust.md) | [trust report](/tools/yl4579-styletts2/trust.md) | ## Decision facts: dia - **Adopt for:** Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. ## Decision facts: StyleTTS2 - **Adopt for:** StyleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications. ## Choose when ### Choose dia if… - License: dia is Apache-2.0, StyleTTS2 is MIT. - Tags unique to dia: dialogue-generation, text-to-speech. - When you require precise control over voice and script in the creation of highly realistic dialogues ### Choose StyleTTS2 if… - License: StyleTTS2 is MIT, dia is Apache-2.0. - Tags unique to StyleTTS2: adversarial training, deep-learning, diffusion-models, gan. - When you need highly natural speech synthesis with accurate speaker adaptation through advanced generative models ## When NOT to use dia - If your setup lacks a GPU, as Dia has not yet added CPU support - In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads ## When NOT to use StyleTTS2 - Avoid if requirements do not align with using models specifically trained on large speech language models - Do not use in contexts where explicit disclosure of synthesis is not feasible or appropriate as per ethical considerations ## Common questions ### What is the difference between dia and StyleTTS2? dia: A TTS model for generating ultra-realistic dialogue. StyleTTS2: StyleTTS 2 advances human-like text-to-speech using style diffusion and adversarial training.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dia over StyleTTS2? Choose dia over StyleTTS2 when License: dia is Apache-2.0, StyleTTS2 is MIT; Tags unique to dia: dialogue-generation, text-to-speech; When you require precise control over voice and script in the creation of highly realistic dialogues. ### When should I choose StyleTTS2 over dia? Choose StyleTTS2 over dia when License: StyleTTS2 is MIT, dia is Apache-2.0; Tags unique to StyleTTS2: adversarial training, deep-learning, diffusion-models, gan; When you need highly natural speech synthesis with accurate speaker adaptation through advanced generative models. ### When should I avoid dia? If your setup lacks a GPU, as Dia has not yet added CPU support In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads ### When should I avoid StyleTTS2? Avoid if requirements do not align with using models specifically trained on large speech language models Do not use in contexts where explicit disclosure of synthesis is not feasible or appropriate as per ethical considerations ### Is dia or StyleTTS2 more popular on GitHub? dia has more GitHub stars (19,361 vs 6,322). Stars measure visibility, not whether either tool fits your constraints. ### Are dia and StyleTTS2 open source? Yes - both are open-source projects on GitHub (dia: Apache-2.0, StyleTTS2: MIT). ### Where can I find alternatives to dia or StyleTTS2? GraphCanon lists graph-backed alternatives at [dia alternatives](/tools/nari-labs-dia/alternatives) and [StyleTTS2 alternatives](/tools/yl4579-styletts2/alternatives) ([dia markdown twin](/tools/nari-labs-dia/alternatives.md), [StyleTTS2 markdown twin](/tools/yl4579-styletts2/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/nari-labs-dia-vs-yl4579-styletts2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dia or StyleTTS2? dia: Slowing. StyleTTS2: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for dia and StyleTTS2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dia trust report](/tools/nari-labs-dia/trust); [StyleTTS2 trust report](/tools/yl4579-styletts2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nari-labs-dia`](/api/graphcanon/graph?tool=nari-labs-dia) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_