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Comparison

Amphion vs GPT-SoVITS

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.

Markdown twin · Amphion alternatives · GPT-SoVITS alternatives

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Amphion logo

Amphion

open-mmlab/Amphion

★ 9.9kpushed Mar 25, 2026
vs
GPT-SoVITS logo

GPT-SoVITS

RVC-Boss/GPT-SoVITS

★ 60kpushed Jul 10, 2026

Trust & integrity

SignalAmphionGPT-SoVITS
Maintenance
Slowing (107d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
39 low (39 low)
As of today · osv@v1
Amphion trust reportGPT-SoVITS trust reportTrust methodology

Tagline

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)

Stars

Amphion
9.9k
GPT-SoVITS
60k

Forks

Amphion
822
GPT-SoVITS
6.5k

Open issues

Amphion
175
GPT-SoVITS
873

Language

Amphion
Python
GPT-SoVITS
Python

Adopt for

Amphion
-
GPT-SoVITS
-

Persona

Amphion
-
GPT-SoVITS
-

Runtime

Amphion
-
GPT-SoVITS
-

License

Amphion
MIT
GPT-SoVITS
MIT

Last pushed

Amphion
Mar 25, 2026
GPT-SoVITS
Jul 10, 2026

Categories

Amphion
Computer Vision, Speech & Audio, Inference & Serving
GPT-SoVITS
Model Training, Computer Vision, Speech & Audio

Trust and health

Maintenance

Amphion
Slowing (36%)
GPT-SoVITS
Very active (96%)

Days since push

Amphion
107d
GPT-SoVITS
1d

Open issues (now)

Amphion
175
GPT-SoVITS
873

Owner type

Amphion
Organization
GPT-SoVITS
User

Security scan

Amphion
No lockfile
GPT-SoVITS
39 low (39 low)

Full report

Amphion
Trust report
GPT-SoVITS
Trust report

Shared compatibility

  • Python · Amphion: Python runtime · GPT-SoVITS: Python runtime

Choose Amphion if…

  • Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia.
  • Also covers Inference & Serving.
  • Leaner open-issue backlog (175).

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.
GitHubDetails

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 GPT-SoVITS

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Explore

Amphion trust report →GPT-SoVITS trust report →Computer Vision category →Speech & Audio category →Inference & Serving category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Amphion 9.9k · GPT-SoVITS 60k (synced Jul 11, 2026).

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 and GPT-SoVITS alternatives (Amphion markdown twin, GPT-SoVITS 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, 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; GPT-SoVITS trust report.