Comparison
Confucius4-TTS vs StyleTTS2
Verdict
Pick Confucius4-TTS if powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning; pick StyleTTS2 if styleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications.
Markdown twin · Confucius4-TTS alternatives · StyleTTS2 alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | Confucius4-TTS | StyleTTS2 |
|---|---|---|
| Maintenance | Very active (5d since push) As of 1d · github_public_v1 | Dormant (718d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · 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
- Confucius4-TTS
- Multilingual and Cross-Lingual Zero-Shot TTS Engine
- StyleTTS2
- StyleTTS 2 advances human-like text-to-speech using style diffusion and adversarial training.
Stars
- Confucius4-TTS
- 773
- StyleTTS2
- 6.3k
Forks
- Confucius4-TTS
- 76
- StyleTTS2
- 694
Open issues
- Confucius4-TTS
- 11
- StyleTTS2
- 118
Language
- Confucius4-TTS
- Python
- StyleTTS2
- Python
Adopt for
- Confucius4-TTS
- Powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning.
- StyleTTS2
- StyleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications.
Persona
- Confucius4-TTS
- -
- StyleTTS2
- -
Runtime
- Confucius4-TTS
- -
- StyleTTS2
- -
License
- Confucius4-TTS
- Other
- StyleTTS2
- MIT
Last pushed
- Confucius4-TTS
- Aug 18, 2026
- StyleTTS2
- Aug 10, 2024
Categories
- Confucius4-TTS
- Speech & Audio
- StyleTTS2
- Speech & Audio
Trust and health
Maintenance
- Confucius4-TTS
- Very active (96%)
- StyleTTS2
- Dormant (18%)
Days since push
- Confucius4-TTS
- 5d
- StyleTTS2
- 718d
Open issues (now)
- Confucius4-TTS
- 11
- StyleTTS2
- 118
Stars delta
- Confucius4-TTS
- +60 (30d)
- StyleTTS2
- Unknown
Open issues delta
- Confucius4-TTS
- +1 (30d)
- StyleTTS2
- Unknown
OSV dependency advisories
- Confucius4-TTS
- No lockfile (source not queried)
- StyleTTS2
- No published findings from this source as of 2026-07-11
Full report
- Confucius4-TTS
- Trust report
- StyleTTS2
- Trust report
Choose Confucius4-TTS if…
- License: Confucius4-TTS is Other, StyleTTS2 is MIT.
- Tags unique to Confucius4-TTS: audio, cross-lingual, fine-tuning, multi-lingual.
- Project requires support for multiple languages without the necessity of model fine-tuning.
When NOT to use Confucius4-TTS
- When project strictly demands language-specific TTS refinement and customization.
- For scenarios needing real-time low-latency TTS performance as Confucius4-TTS focuses on cross-lingual capabilities rather than speed optimizations.
Choose StyleTTS2 if…
- License: StyleTTS2 is MIT, Confucius4-TTS is Other.
- Tags unique to StyleTTS2: adversarial training, diffusion-models, gan, latent-diffusion.
- 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 (netease-youdao/Confucius4-TTS) · observed Aug 24, 2026
- GitHub forks (netease-youdao/Confucius4-TTS) · observed Aug 24, 2026
- Last push (netease-youdao/Confucius4-TTS) · observed Aug 18, 2026
- License file (Other) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 15, 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: Confucius4-TTS 773 · StyleTTS2 6.3k (synced Aug 24, 2026).
Common questions
- What is the difference between Confucius4-TTS and StyleTTS2?
- Confucius4-TTS: Multilingual and Cross-Lingual Zero-Shot TTS Engine. 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 Confucius4-TTS over StyleTTS2?
- Choose Confucius4-TTS over StyleTTS2 when License: Confucius4-TTS is Other, StyleTTS2 is MIT; Tags unique to Confucius4-TTS: audio, cross-lingual, fine-tuning, multi-lingual; Project requires support for multiple languages without the necessity of model fine-tuning.
- When should I choose StyleTTS2 over Confucius4-TTS?
- Choose StyleTTS2 over Confucius4-TTS when License: StyleTTS2 is MIT, Confucius4-TTS is Other; Tags unique to StyleTTS2: adversarial training, diffusion-models, gan, latent-diffusion; When you need highly natural speech synthesis with accurate speaker adaptation through advanced generative models.
- When should I avoid Confucius4-TTS?
- When project strictly demands language-specific TTS refinement and customization. For scenarios needing real-time low-latency TTS performance as Confucius4-TTS focuses on cross-lingual capabilities rather than speed optimizations.
- 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 Confucius4-TTS or StyleTTS2 more popular on GitHub?
- StyleTTS2 has more GitHub stars (6,322 vs 773). Stars measure visibility, not whether either tool fits your constraints.
- Are Confucius4-TTS and StyleTTS2 open source?
- Yes - both are open-source projects on GitHub (Confucius4-TTS: Other, StyleTTS2: MIT).
- Where can I find alternatives to Confucius4-TTS or StyleTTS2?
- GraphCanon lists graph-backed alternatives at Confucius4-TTS alternatives and StyleTTS2 alternatives (Confucius4-TTS 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, Confucius4-TTS or StyleTTS2?
- Confucius4-TTS: Very active. 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 Confucius4-TTS and StyleTTS2?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Confucius4-TTS trust report; StyleTTS2 trust report.