Comparison
ChatTTS vs StyleTTS2
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.
Markdown twin · ChatTTS alternatives · StyleTTS2 alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | ChatTTS | StyleTTS2 |
|---|---|---|
| Maintenance | Slowing (127d since push) As of 1w · github_public_v1 | Dormant (718d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ChatTTS
- A generative speech model for daily dialogue
- StyleTTS2
- StyleTTS 2 advances human-like text-to-speech using style diffusion and adversarial training.
Stars
- ChatTTS
- 40k
- StyleTTS2
- 6.3k
Forks
- ChatTTS
- 4.3k
- StyleTTS2
- 694
Open issues
- ChatTTS
- 60
- StyleTTS2
- 118
Language
- ChatTTS
- Python
- StyleTTS2
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- StyleTTS2
- StyleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications.
Persona
- ChatTTS
- -
- StyleTTS2
- -
Runtime
- ChatTTS
- -
- StyleTTS2
- -
License
- ChatTTS
- Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works.
- StyleTTS2
- MIT
Last pushed
- ChatTTS
- Apr 10, 2026
- StyleTTS2
- Aug 10, 2024
Categories
- ChatTTS
- AI Agents, Speech & Audio
- StyleTTS2
- Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- StyleTTS2
- Dormant (18%)
Days since push
- ChatTTS
- 127d
- StyleTTS2
- 718d
Open issues (now)
- ChatTTS
- 60
- StyleTTS2
- 118
Stars delta
- ChatTTS
- +140 (30d)
- StyleTTS2
- Unknown
Open issues delta
- ChatTTS
- -1 (30d)
- StyleTTS2
- Unknown
Owner type
- ChatTTS
- Organization
- StyleTTS2
- User
OSV dependency advisories
- ChatTTS
- No lockfile (source not queried)
- StyleTTS2
- No published findings from this source as of 2026-07-11
Full report
- ChatTTS
- Trust report
- StyleTTS2
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (2noise/ChatTTS) · observed Aug 16, 2026
- GitHub forks (2noise/ChatTTS) · observed Aug 16, 2026
- Last push (2noise/ChatTTS) · observed Apr 10, 2026
- License file (AGPL-3.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yl4579/StyleTTS2) · observed Jul 29, 2026
- GitHub forks (yl4579/StyleTTS2) · observed Jul 29, 2026
- Last push (yl4579/StyleTTS2) · observed Aug 10, 2024
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatTTS 40k · StyleTTS2 6.3k (synced Aug 16, 2026).
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 and StyleTTS2 alternatives (ChatTTS markdown twin, StyleTTS2 markdown twin), 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 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; StyleTTS2 trust report.