--- title: "ChatTTS vs StyleTTS2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-yl4579-styletts2" tools: ["2noise-chattts", "yl4579-styletts2"] --- # ChatTTS vs StyleTTS2 *GraphCanon updated Aug 16, 2026* ## Verdict Pick ChatTTS if chatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English; pick StyleTTS2 if styleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications. [ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.3k forks, and 60 open issues, last pushed Apr 10, 2026. [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 [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [StyleTTS2's repository](https://github.com/yl4579/StyleTTS2). | | [ChatTTS](/tools/2noise-chattts.md) | [StyleTTS2](/tools/yl4579-styletts2.md) | | --- | --- | --- | | Tagline | A generative speech model for daily dialogue | StyleTTS 2 advances human-like text-to-speech using style diffusion and adversarial training. | | Stars | 39,768 | 6,322 | | Forks | 4,257 | 694 | | Open issues | 60 | 118 | | Language | Python | Python | | Adopt for | ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. | StyleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications. | | Persona | - | - | | Runtime | - | - | | License | Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works. | MIT | | Categories | AI Agents, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatTTS](/tools/2noise-chattts.md) | [StyleTTS2](/tools/yl4579-styletts2.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 127d | 718d | | Open issues (now) | 60 | 118 | | Stars delta | +140 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/yl4579-styletts2/trust.md) | ## Decision facts: ChatTTS - **Hosting:** unknown - **Requirements:** Python-based implementation means that familiarity with Python is necessary for effective use. - **Adopt for:** ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. - **License detail:** Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works. ## Decision facts: StyleTTS2 - **Adopt for:** StyleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications. ## Choose when ### Choose ChatTTS if… - License: ChatTTS is AGPL-3.0, StyleTTS2 is MIT. - Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.. - Tags unique to ChatTTS: agent, chatgpt, chattts, chinese language. - Also covers AI Agents. - Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages. ### Choose StyleTTS2 if… - License: StyleTTS2 is MIT, ChatTTS is AGPL-3.0. - 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 ChatTTS - Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation. - Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English. ## 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 ChatTTS and StyleTTS2? ChatTTS: A generative speech model for daily 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 ChatTTS over StyleTTS2? Choose ChatTTS over StyleTTS2 when License: ChatTTS is AGPL-3.0, StyleTTS2 is MIT; Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.; Tags unique to ChatTTS: agent, chatgpt, chattts, chinese language; Also covers AI Agents; Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages. ### When should I choose StyleTTS2 over ChatTTS? Choose StyleTTS2 over ChatTTS when License: StyleTTS2 is MIT, ChatTTS is AGPL-3.0; 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 ChatTTS? Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation. Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English. ### 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 ChatTTS or StyleTTS2 more popular on GitHub? ChatTTS has more GitHub stars (39,768 vs 6,322). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatTTS and StyleTTS2 open source? Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, StyleTTS2: MIT). ### Where can I find alternatives to ChatTTS or StyleTTS2? GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [StyleTTS2 alternatives](/tools/yl4579-styletts2/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/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/2noise-chattts-vs-yl4579-styletts2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatTTS or StyleTTS2? ChatTTS: 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 ChatTTS and StyleTTS2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [StyleTTS2 trust report](/tools/yl4579-styletts2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=2noise-chattts`](/api/graphcanon/graph?tool=2noise-chattts) - 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/_