Comparison
ChatTTS vs LLaMA-Omni
Verdict
Pick ChatTTS if chatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English; 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 5d
Trust & integrity
| Signal | ChatTTS | LLaMA-Omni |
|---|---|---|
| Maintenance | Slowing (127d since push) As of 5d · github_public_v1 | Dormant (437d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- 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
- 224
Open issues
- ChatTTS
- 60
- LLaMA-Omni
- 52
Language
- ChatTTS
- Python
- LLaMA-Omni
- Python
Adopt for
- ChatTTS
- ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- 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
- Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works.
- LLaMA-Omni
- Apache-2.0
Last pushed
- ChatTTS
- Apr 10, 2026
- LLaMA-Omni
- May 19, 2025
Categories
- ChatTTS
- AI Agents, Speech & Audio
- LLaMA-Omni
- Speech & Audio
Trust and health
Maintenance
- ChatTTS
- Slowing (36%)
- LLaMA-Omni
- Dormant (18%)
Days since push
- ChatTTS
- 127d
- LLaMA-Omni
- 437d
Open issues (now)
- ChatTTS
- 60
- LLaMA-Omni
- 52
Stars delta
- ChatTTS
- +140 (30d)
- LLaMA-Omni
- Unknown
Open issues delta
- ChatTTS
- -1 (30d)
- LLaMA-Omni
- Unknown
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: Python-based implementation means that familiarity with Python is necessary for effective use..
- LLaMA-Omni and ChatTTS both serve speech interaction tasks but with different underlying models and setups.
- 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 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 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 (ictnlp/LLaMA-Omni) · observed Jul 30, 2026
- GitHub forks (ictnlp/LLaMA-Omni) · observed Jul 30, 2026
- Last push (ictnlp/LLaMA-Omni) · observed May 19, 2025
- License file (Apache-2.0) · observed Jul 30, 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 Aug 16, 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: Python-based implementation means that familiarity with Python is necessary for effective use.; LLaMA-Omni and ChatTTS both serve speech interaction tasks but with different underlying models and setups; 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 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?
- 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 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 (39,768 vs 3,146). 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.