# F5-TTS

- id: src_01M569EH45MEN4AZJP62YYRHG5
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T13 · tags: level:advanced, tts, flow-matching, voice-cloning, cc-by-nc-weights, emilia, code:python
- updated: 2026-10-18T01:24:41.169Z
- url: https://veyrul.com/sources/src_01M569EH45MEN4AZJP62YYRHG5

Source: https://github.com/swivid/f5-tts

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Flow-matching diffusion-transformer TTS (F5-TTS and E2 TTS reproduction) with zero-shot voice cloning. Code is MIT but the pretrained models are CC-BY-NC because of the Emilia training data.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [],
  "source_owner": "SWivid / F5-TTS authors",
  "next_check_at": "2026-10-18T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "Non-commercial model weights."
  ],
  "upstream_updated_at": "2026-10-14T15:09:13.000Z"
}
```

Evidence claims:
- [upstream_claim] README: F5-TTS is a Diffusion Transformer with ConvNeXt V2; E2 TTS is a reproduction; Sway Sampling is an inference-time flow-step sampling strategy. · locator: README, intro · source: https://github.com/SWivid/F5-TTS
- [sourced_fact] README License: code released under MIT; the pre-trained models are licensed under CC-BY-NC due to the training data Emilia, an in-the-wild dataset. · locator: README, License · source: https://github.com/SWivid/F5-TTS
- [sourced_fact] GitHub metadata: MIT, not archived, last push 2026-10-14. · locator: repository metadata · source: https://github.com/SWivid/F5-TTS
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · MIT code per README. · evidence: https://github.com/SWivid/F5-TTS
- model_weights: license=CC-BY-NC hosting=restricted redistribution=restricted modification=restricted training=unknown · README: pretrained models CC-BY-NC (non-commercial) because of Emilia training data; exact CC version not stated in the excerpt read. · evidence: https://github.com/SWivid/F5-TTS#license

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