--- title: "CosyVoice vs DiffSinger" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-cosyvoice-vs-moonintheriver-diffsinger" tools: ["funaudiollm-cosyvoice", "moonintheriver-diffsinger"] --- # CosyVoice vs DiffSinger *GraphCanon updated Aug 23, 2026* ## 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. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) reports 23k GitHub stars, 2.6k forks, and 719 open issues, last pushed May 25, 2026. [DiffSinger](https://github.com/MoonInTheRiver/DiffSinger) has 4.8k stars, 826 forks, and 53 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice) and [DiffSinger's repository](https://github.com/MoonInTheRiver/DiffSinger). | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [DiffSinger](/tools/moonintheriver-diffsinger.md) | | --- | --- | --- | | Tagline | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | Singing Voice Synthesis via Shallow Diffusion Mechanism | | Stars | 22,870 | 4,834 | | Forks | 2,631 | 826 | | Open issues | 719 | 53 | | Language | Python | Python | | Adopt for | 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 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, Model Training, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [DiffSinger](/tools/moonintheriver-diffsinger.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 89d | 5d | | Open issues (now) | 719 | 53 | | Stars delta | +497 (30d) | Unknown | | Open issues delta | -37 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | [trust report](/tools/moonintheriver-diffsinger/trust.md) | ## Shared compatibility - **Python**: [CosyVoice](/tools/funaudiollm-cosyvoice.md) - Python runtime; [DiffSinger](/tools/moonintheriver-diffsinger.md) - Python runtime ## Decision facts: CosyVoice - **Adopt for:** 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. ## Decision facts: DiffSinger - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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 ## 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 (22,870 vs 4,834). 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](/tools/funaudiollm-cosyvoice/alternatives) and [DiffSinger alternatives](/tools/moonintheriver-diffsinger/alternatives) ([CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md), [DiffSinger markdown twin](/tools/moonintheriver-diffsinger/alternatives.md)), 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](/compare/funaudiollm-cosyvoice-vs-moonintheriver-diffsinger.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CosyVoice or DiffSinger? CosyVoice: Steady. DiffSinger: Very active. 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](/tools/funaudiollm-cosyvoice/trust); [DiffSinger trust report](/tools/moonintheriver-diffsinger/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=funaudiollm-cosyvoice`](/api/graphcanon/graph?tool=funaudiollm-cosyvoice) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_