Comparison
dia vs StyleTTS2
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.
Markdown twin · dia alternatives · StyleTTS2 alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | dia | StyleTTS2 |
|---|---|---|
| Maintenance | Slowing (251d since push) As of 3w · github_public_v1 | Dormant (718d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- dia
- A TTS model for generating ultra-realistic dialogue
- StyleTTS2
- StyleTTS 2 advances human-like text-to-speech using style diffusion and adversarial training.
Stars
- dia
- 19k
- StyleTTS2
- 6.3k
Forks
- dia
- 1.7k
- StyleTTS2
- 694
Open issues
- dia
- 91
- StyleTTS2
- 118
Language
- dia
- Python
- StyleTTS2
- Python
Adopt for
- dia
- Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue.
- StyleTTS2
- StyleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications.
Persona
- dia
- -
- StyleTTS2
- -
Runtime
- dia
- -
- StyleTTS2
- -
License
- dia
- Apache-2.0
- StyleTTS2
- MIT
Last pushed
- dia
- Nov 19, 2025
- StyleTTS2
- Aug 10, 2024
Categories
- dia
- Speech & Audio
- StyleTTS2
- Speech & Audio
Trust and health
Maintenance
- dia
- Slowing (36%)
- StyleTTS2
- Dormant (18%)
Days since push
- dia
- 251d
- StyleTTS2
- 718d
Open issues (now)
- dia
- 91
- StyleTTS2
- 118
Owner type
- dia
- Organization
- StyleTTS2
- User
OSV dependency advisories
- dia
- No lockfile (source not queried)
- StyleTTS2
- No published findings from this source as of 2026-07-11
Full report
- dia
- Trust report
- StyleTTS2
- Trust report
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
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
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 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 (nari-labs/dia) · observed Jul 29, 2026
- GitHub forks (nari-labs/dia) · observed Jul 29, 2026
- Last push (nari-labs/dia) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 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: dia 19k · StyleTTS2 6.3k (synced Jul 29, 2026).
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 and StyleTTS2 alternatives (dia 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, 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; StyleTTS2 trust report.