--- title: "Amphion vs GPT-SoVITS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-mmlab-amphion-vs-rvc-boss-gpt-sovits" tools: ["open-mmlab-amphion", "rvc-boss-gpt-sovits"] --- # Amphion vs GPT-SoVITS *GraphCanon updated Jul 11, 2026* ## Verdict Pick Amphion when tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia; pick GPT-SoVITS when tags unique to GPT-SoVITS: voice-cloning, voice-clone, voice-cloneai, text-to-speech. [Amphion](https://openhlt.github.io/amphion/) reports 9.9k GitHub stars, 822 forks, and 175 open issues, last pushed Mar 25, 2026. [GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) has 60k stars, 6.5k forks, and 873 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [Amphion's repository](https://github.com/open-mmlab/Amphion) and [GPT-SoVITS's repository](https://github.com/RVC-Boss/GPT-SoVITS). | | [Amphion](/tools/open-mmlab-amphion.md) | [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) | | --- | --- | --- | | Tagline | Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, | 1 min voice data can also be used to train a good TTS model! (few shot voice cloning) | | Stars | 9,927 | 59,643 | | Forks | 822 | 6,507 | | Open issues | 175 | 873 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Inference & Serving, Speech & Audio, Computer Vision | Model Training, Speech & Audio, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Amphion](/tools/open-mmlab-amphion.md) | [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 107d | 1d | | Open issues (now) | 175 | 873 | | Owner type | Organization | User | | Security scan | No lockfile | 39 low (39 low) | | Full report | [trust report](/tools/open-mmlab-amphion/trust.md) | [trust report](/tools/rvc-boss-gpt-sovits/trust.md) | ## Shared compatibility - **Python**: [Amphion](/tools/open-mmlab-amphion.md) - Python runtime; [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) - Python runtime ## Choose when ### Choose Amphion if… - Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia. - Also covers Inference & Serving. - Leaner open-issue backlog (175). ### Choose GPT-SoVITS if… - Tags unique to GPT-SoVITS: voice-cloning, voice-clone, voice-cloneai, text-to-speech. - Also covers Model Training. - More GitHub stars (60k vs 9.9k) - visibility, not fit. ## When NOT to use Amphion - Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use GPT-SoVITS - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between Amphion and GPT-SoVITS? Amphion: Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, . GPT-SoVITS: 1 min voice data can also be used to train a good TTS model! (few shot voice cloning). See the comparison table for live GitHub stats and shared categories. ### When should I choose Amphion over GPT-SoVITS? Choose Amphion over GPT-SoVITS when Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia; Also covers Inference & Serving; Leaner open-issue backlog (175). ### When should I choose GPT-SoVITS over Amphion? Choose GPT-SoVITS over Amphion when Tags unique to GPT-SoVITS: voice-cloning, voice-clone, voice-cloneai, text-to-speech; Also covers Model Training; More GitHub stars (60k vs 9.9k) - visibility, not fit. ### When should I avoid Amphion? Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid GPT-SoVITS? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is Amphion or GPT-SoVITS more popular on GitHub? GPT-SoVITS has more GitHub stars (59,643 vs 9,927). Stars measure visibility, not whether either tool fits your constraints. ### Are Amphion and GPT-SoVITS open source? Yes - both are open-source projects on GitHub (Amphion: MIT, GPT-SoVITS: MIT). ### Where can I find alternatives to Amphion or GPT-SoVITS? GraphCanon lists graph-backed alternatives at [Amphion alternatives](/tools/open-mmlab-amphion/alternatives) and [GPT-SoVITS alternatives](/tools/rvc-boss-gpt-sovits/alternatives) ([Amphion markdown twin](/tools/open-mmlab-amphion/alternatives.md), [GPT-SoVITS markdown twin](/tools/rvc-boss-gpt-sovits/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/open-mmlab-amphion-vs-rvc-boss-gpt-sovits.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Amphion or GPT-SoVITS? Amphion: Slowing. GPT-SoVITS: 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 Amphion and GPT-SoVITS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Amphion trust report](/tools/open-mmlab-amphion/trust); [GPT-SoVITS trust report](/tools/rvc-boss-gpt-sovits/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=open-mmlab-amphion`](/api/graphcanon/graph?tool=open-mmlab-amphion) - 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/_