Comparison
CosyVoice vs DiffSinger
Verdict
Pick CosyVoice if cosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation; pick DiffSinger if diffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS.
Markdown twin · CosyVoice alternatives · DiffSinger alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | CosyVoice | DiffSinger |
|---|---|---|
| Maintenance | Slowing (117d since push) As of Sep 20, 2026 · github_public_v1 | Steady (57d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings 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
- CosyVoice
- Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.
- DiffSinger
- Singing Voice Synthesis via Shallow Diffusion Mechanism
Stars
- CosyVoice
- 24k
- DiffSinger
- 4.9k
Forks
- CosyVoice
- 2.7k
- DiffSinger
- 826
Open issues
- CosyVoice
- 697
- DiffSinger
- 53
Language
- CosyVoice
- Python
- DiffSinger
- Python
Adopt for
- CosyVoice
- CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation.
- DiffSinger
- DiffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS.
Persona
- CosyVoice
- -
- DiffSinger
- -
Runtime
- CosyVoice
- -
- DiffSinger
- -
License
- CosyVoice
- Apache-2.0
- DiffSinger
- MIT
Last pushed
- CosyVoice
- May 25, 2026
- DiffSinger
- Jul 24, 2026
Categories
- CosyVoice
- Inference & Serving, Model Training, Speech & Audio
- DiffSinger
- Speech & Audio
Trust and health
Maintenance
- CosyVoice
- Slowing (36%)
- DiffSinger
- Steady (60%)
Days since push
- CosyVoice
- 117d
- DiffSinger
- 57d
Open issues (now)
- CosyVoice
- 697
- DiffSinger
- 53
Stars delta
- CosyVoice
- +1.3k (30d)
- DiffSinger
- +27 (30d)
Open issues delta
- CosyVoice
- -59 (30d)
- DiffSinger
- 0 (30d)
Owner type
- CosyVoice
- Organization
- DiffSinger
- User
OSV dependency advisories
- CosyVoice
- No lockfile (source not queried)
- DiffSinger
- Published findings
Full report
- CosyVoice
- Trust report
- DiffSinger
- Trust report
Shared compatibility
- Python · CosyVoice: Python runtime · DiffSinger: Python runtime
Choose CosyVoice if…
- License: CosyVoice is Apache-2.0, DiffSinger is MIT.
- Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt.
- Also covers Inference & Serving, Model Training.
- When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
When NOT to use CosyVoice
- If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish.
- When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity.
Choose DiffSinger if…
- License: DiffSinger is MIT, CosyVoice is Apache-2.0.
- Tags unique to DiffSinger: aaai2022, diffusion model, singing-synthesis, speech-synthesis.
- Need precise control over the fundamental frequency (F0) when synthesizing singing voices
When NOT to use DiffSinger
- In need of real-time synthesis performance due to the resource demands of diffusion mechanisms
- Looking for an end-to-end model that does not require ground-truth F0 information for SVS tasks
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FunAudioLLM/CosyVoice) · observed Sep 20, 2026
- GitHub forks (FunAudioLLM/CosyVoice) · observed Sep 20, 2026
- Last push (FunAudioLLM/CosyVoice) · observed May 25, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MoonInTheRiver/DiffSinger) · observed Sep 20, 2026
- GitHub forks (MoonInTheRiver/DiffSinger) · observed Sep 20, 2026
- Last push (MoonInTheRiver/DiffSinger) · observed Jul 24, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CosyVoice 24k · DiffSinger 4.9k (synced Sep 20, 2026).
Common questions
- What is the difference between CosyVoice and DiffSinger?
- CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism. See the comparison table for live GitHub stats and shared categories.
- When should I choose CosyVoice over DiffSinger?
- Choose CosyVoice over DiffSinger when License: CosyVoice is Apache-2.0, DiffSinger is MIT; Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Inference & Serving, Model Training; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
- When should I choose DiffSinger over CosyVoice?
- Choose DiffSinger over CosyVoice when License: DiffSinger is MIT, CosyVoice is Apache-2.0; Tags unique to DiffSinger: aaai2022, diffusion model, singing-synthesis, speech-synthesis; Need precise control over the fundamental frequency (F0) when synthesizing singing voices.
- When should I avoid CosyVoice?
- If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity.
- When should I avoid DiffSinger?
- In need of real-time synthesis performance due to the resource demands of diffusion mechanisms Looking for an end-to-end model that does not require ground-truth F0 information for SVS tasks
- Is CosyVoice or DiffSinger more popular on GitHub?
- CosyVoice has more GitHub stars (23,695 vs 4,861). Stars measure visibility, not whether either tool fits your constraints.
- Are CosyVoice and DiffSinger open source?
- Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, DiffSinger: MIT).
- Where can I find alternatives to CosyVoice or DiffSinger?
- GraphCanon lists graph-backed alternatives at CosyVoice alternatives and DiffSinger alternatives (CosyVoice markdown twin, DiffSinger 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, CosyVoice or DiffSinger?
- CosyVoice: Slowing. DiffSinger: Steady. 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 CosyVoice and DiffSinger?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; DiffSinger trust report.