Comparison
ChatTTS vs LLaMA-Omni
Verdict
Pick ChatTTS if chatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities; pick LLaMA-Omni if lLaMA-Omni is a specialized multimodal large language model tailored for enhancing speech interaction capabilities through advanced integration of speech-to-speech and speech-to-text functionalities.
Markdown twin · ChatTTS alternatives · LLaMA-Omni alternatives
GraphCanon updated Sep 30, 2026
27views this month
Trust & integrity
| Signal | ChatTTS | LLaMA-Omni |
|---|---|---|
| Maintenance | Slowing (160d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (489d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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.
- LLaMA-Omni
- End-to-end speech interaction model based on Llama-3.1-8B-Instruct
Stars
- ChatTTS
- 40k
- LLaMA-Omni
- 3.1k
Forks
- ChatTTS
- 4.3k
- LLaMA-Omni
- 225
Open issues
- ChatTTS
- 60
- LLaMA-Omni
- 52
Language
- ChatTTS
- Python
- LLaMA-Omni
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities.
- LLaMA-Omni
- LLaMA-Omni is a specialized multimodal large language model tailored for enhancing speech interaction capabilities through advanced integration of speech-to-speech and speech-to-text functionalities.
Persona
- ChatTTS
- -
- LLaMA-Omni
- -
Runtime
- ChatTTS
- -
- LLaMA-Omni
- -
License
- ChatTTS
- AGPL-3.0
- LLaMA-Omni
- Apache-2.0
Last pushed
- ChatTTS
- Apr 10, 2026
- LLaMA-Omni
- May 19, 2025
Categories
- ChatTTS
- LLM Frameworks, Speech & Audio
- LLaMA-Omni
- Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- LLaMA-Omni
- Dormant (18%)
Days since push
- ChatTTS
- 160d
- LLaMA-Omni
- 489d
Open issues (now)
- ChatTTS
- 60
- LLaMA-Omni
- 52
Stars delta
- ChatTTS
- +82 (30d)
- LLaMA-Omni
- +2 (30d)
OSV dependency advisories
- ChatTTS
- Published findings
- LLaMA-Omni
- No lockfile (source not queried)
Full report
- ChatTTS
- Trust report
- LLaMA-Omni
- Trust report
Typed relationship
ChatTTS alternative LLaMA-OmniLLaMA-Omni and ChatTTS both serve speech interaction tasks but with different underlying models and setups.
Shared compatibility
- Python · ChatTTS: Python runtime · LLaMA-Omni: Python runtime
Choose ChatTTS if…
- License: ChatTTS is AGPL-3.0, LLaMA-Omni is Apache-2.0.
- Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations..
- LLaMA-Omni and ChatTTS both serve speech interaction tasks but with different underlying models and setups.
- Tags unique to ChatTTS: agent, chat, chatgpt, chattts.
- Also covers LLM Frameworks.
- When you need a tool that supports both Chinese and English for daily dialogue generation.
When NOT to use ChatTTS
- If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly.
- When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed.
- If you are not comfortable with a slow installation process, as noted in the repository documentation.
Choose LLaMA-Omni if…
- License: LLaMA-Omni is Apache-2.0, ChatTTS is AGPL-3.0.
- LLaMA-Omni and ChatTTS both serve speech interaction tasks but with different underlying models and setups.
- Tags unique to LLaMA-Omni: large-language-models, multimodal-large-language-models, speech-interaction, speech-language-model.
- - When targeting low-latency, high-quality end-to-end speech interactions that need to be performed in an academic research environment.
When NOT to use LLaMA-Omni
- - Avoid LLaMA-Omni if your project requires commercial deployment since its usage rights are strictly non-commercial.
- - If real-time interaction constraints are less critical than achieving high-quality speech output, another tool with more flexibility regarding latency and deployment options may be preferable.
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 Sep 20, 2026
- GitHub forks (2noise/ChatTTS) · observed Sep 20, 2026
- Last push (2noise/ChatTTS) · observed Apr 10, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (ictnlp/LLaMA-Omni) · observed Sep 20, 2026
- GitHub forks (ictnlp/LLaMA-Omni) · observed Sep 20, 2026
- Last push (ictnlp/LLaMA-Omni) · observed May 19, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatTTS 40k · LLaMA-Omni 3.1k (synced Sep 20, 2026).
Common questions
- What is the difference between ChatTTS and LLaMA-Omni?
- ChatTTS: A generative speech model for daily dialogue.. LLaMA-Omni: End-to-end speech interaction model based on Llama-3.1-8B-Instruct. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatTTS over LLaMA-Omni?
- Choose ChatTTS over LLaMA-Omni when License: ChatTTS is AGPL-3.0, LLaMA-Omni is Apache-2.0; Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations.; LLaMA-Omni and ChatTTS both serve speech interaction tasks but with different underlying models and setups; Tags unique to ChatTTS: agent, chat, chatgpt, chattts; Also covers LLM Frameworks; When you need a tool that supports both Chinese and English for daily dialogue generation.
- When should I choose LLaMA-Omni over ChatTTS?
- Choose LLaMA-Omni over ChatTTS when License: LLaMA-Omni is Apache-2.0, ChatTTS is AGPL-3.0; LLaMA-Omni and ChatTTS both serve speech interaction tasks but with different underlying models and setups; Tags unique to LLaMA-Omni: large-language-models, multimodal-large-language-models, speech-interaction, speech-language-model; - When targeting low-latency, high-quality end-to-end speech interactions that need to be performed in an academic research environment.
- When should I avoid ChatTTS?
- If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly. When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed. If you are not comfortable with a slow installation process, as noted in the repository documentation.
- When should I avoid LLaMA-Omni?
- - Avoid LLaMA-Omni if your project requires commercial deployment since its usage rights are strictly non-commercial. - If real-time interaction constraints are less critical than achieving high-quality speech output, another tool with more flexibility regarding latency and deployment options may be preferable.
- Is ChatTTS or LLaMA-Omni more popular on GitHub?
- ChatTTS has more GitHub stars (39,850 vs 3,148). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatTTS and LLaMA-Omni open source?
- Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, LLaMA-Omni: Apache-2.0).
- Where can I find alternatives to ChatTTS or LLaMA-Omni?
- GraphCanon lists graph-backed alternatives at ChatTTS alternatives and LLaMA-Omni alternatives (ChatTTS markdown twin, LLaMA-Omni 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 LLaMA-Omni?
- ChatTTS: Slowing. LLaMA-Omni: 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 LLaMA-Omni?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatTTS trust report; LLaMA-Omni trust report.