# Style-Bert-VITS2 (litagin02): Bert-VITS2 with controllable voice styles, Japanese TTS and training UI

- id: src_01M569MKN0EXEMDFMX4J0DZG5T
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T13, T09 · tags: level:advanced, lang:ja, kind:tts-model-code, task:text-to-speech, task:voice-training, task:japanese-speech, ecosystem:bert-vits2, hardware:cpu-inference
- updated: 2026-10-18T01:22:23.509Z
- url: https://veyrul.com/sources/src_01M569MKN0EXEMDFMX4J0DZG5T

Source: https://github.com/litagin02/style-bert-vits2

Pretrained base model record: hf--litagin--style-bert-vits2-2-0-base-jp-extra. Default voice models bundled at install time carry their own terms (JVNV corpus CC BY-SA 4.0; あみたろ/小春音アミ with credit requirement) per docs/TERMS_OF_USE.md.

```json
{
  "archived": false,
  "revision": {
    "ref": "2.7.0 (latest release, published 2025-08-24)",
    "pinned": true,
    "source_url": "https://github.com/litagin02/Style-Bert-VITS2/releases"
  },
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": "https://github.com/fishaudio/Bert-VITS2",
  "usefulness": "Japanese-first expressive TTS built on Bert-VITS2 v2.1 and JP-Extra, with style vectors, model merging, ONNX export, a training WebUI and an API server. Runs synthesis and merging on CPU and trains on NVIDIA GPUs; code is AGPL-3.0, and the README plus a terms file add model-level obligations (CC BY-SA 4.0 for the default JVNV-based voices, credit lines for the Amitaro model).",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "Python",
    "PyTorch",
    "Bert-VITS2 lineage",
    "pip package style-bert-vits2 for inference only"
  ],
  "source_owner": "litagin02 (individual developer; Japanese-language README)",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "README: synthesis works on CPU without a GPU; training needs an NVIDIA GPU; merging and synthesis work without one; CPU install script provided. No VRAM numbers read.",
  "known_limitations": [
    "AGPL-3.0 network-copyleft applies to code; the repository also carries LGPL-3.0 text for text/user_dict derived from VOICEVOX engine.",
    "The terms file separates non-binding requests (\"お願い\") from binding model terms; only the model terms and the repository license bind.",
    "The pretrained base weights are derived from Bert-VITS2 (Fish Audio) models and are labelled AGPL-3.0 on Hugging Face; provenance and licenses of the training data of those base models were not traced.",
    "The owner's location was not verified; the project is Japan-focused and documented in Japanese."
  ],
  "upstream_updated_at": "2025-12-07T13:06:59.000Z"
}
```

Evidence claims:
- [sourced_fact] The README says the project modifies Bert-VITS2 v2.1 and Japanese-Extra to let users control emotion and speaking style, and that synthesis alone works on CPU without a graphics card. · locator: README, 概要 · source: https://github.com/litagin02/Style-Bert-VITS2#readme
- [sourced_fact] Without an NVIDIA GPU, training is not possible but synthesis and model merging still work. · locator: README, 動作環境 · source: https://github.com/litagin02/Style-Bert-VITS2#readme
- [sourced_fact] The repository is licensed under AGPL-3.0, the same as Bert-VITS2, with text/user_dict under LGPL v3. · locator: README, LICENSE · source: https://github.com/litagin02/Style-Bert-VITS2#readme
- [sourced_fact] The default JVNV-corpus-based models (jvnv-F1-jp, F2, M1, M2) inherit the corpus license CC BY-SA 4.0. · locator: docs/TERMS_OF_USE.md, モデルの利用規約・ライセンス, JVNVコーパス · source: https://github.com/litagin02/Style-Bert-VITS2/blob/master/docs/TERMS_OF_USE.md
- [sourced_fact] For the 小春音アミ/あみたろ models, published generated audio must carry a credit that the voice is based on あみたろの声素材工房, with use cases such as age-restricted works and treating output as the speaker's own voice prohibited. · locator: docs/TERMS_OF_USE.md, 小春音アミ / あみたろ · source: https://github.com/litagin02/Style-Bert-VITS2/blob/master/docs/TERMS_OF_USE.md
- [sourced_fact] The terms file says the sections before the model terms are non-binding requests (not prohibitions) and that only the repository license binds for repository use; requests include no deepfake/impersonation use. · locator: docs/TERMS_OF_USE.md, header · source: https://github.com/litagin02/Style-Bert-VITS2/blob/master/docs/TERMS_OF_USE.md
- [sourced_fact] GitHub API returns the repository record for litagin02/Style-Bert-VITS2: default branch master; pushed_at at check time 2025-12-07T13:06:59Z (raw response saved under evidence/github/litagin02--style-bert-vits2.json). · locator: GitHub API repos/litagin02/Style-Bert-VITS2, default_branch (pushed_at is volatile) · source: https://api.github.com/repos/litagin02/Style-Bert-VITS2
- [sourced_fact] GitHub API reports archived = false for litagin02/Style-Bert-VITS2. · locator: GitHub API repos/litagin02/Style-Bert-VITS2, archived · source: https://api.github.com/repos/litagin02/Style-Bert-VITS2
- [sourced_fact] GitHub license detection for litagin02/Style-Bert-VITS2 returns spdx_id AGPL-3.0. · locator: GitHub API repos/litagin02/Style-Bert-VITS2, license · source: https://api.github.com/repos/litagin02/Style-Bert-VITS2
- [sourced_fact] GitHub API latest release for litagin02/Style-Bert-VITS2: tag 2.7.0 published 2025-08-24T03:01:47Z (selected fields of the response saved under evidence/github/litagin02--style-bert-vits2.release.json). · locator: GitHub API repos/litagin02/Style-Bert-VITS2/releases/latest, tag_name · source: https://api.github.com/repos/litagin02/Style-Bert-VITS2/releases/latest
- [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=AGPL-3.0-only hosting=permitted redistribution=restricted modification=restricted training=unknown · AGPL-3.0 with LGPL-3.0 for text/user_dict. Network-use source-offer duty; GitHub detects AGPL-3.0. Does not address training. · evidence: https://github.com/litagin02/Style-Bert-VITS2#readme
- model_weights: license=LicenseRef-per-model-terms hosting=restricted redistribution=restricted modification=restricted training=unknown · Not the repository license: base weights are labelled AGPL-3.0 on Hugging Face; default JVNV-based voices inherit CC BY-SA 4.0 (ShareAlike); the Amitaro voice models require a credit and forbid listed uses and have merge limits (25 percent or more Amitaro share keeps their terms). Check each model's terms. · evidence: https://github.com/litagin02/Style-Bert-VITS2/blob/master/docs/TERMS_OF_USE.md, https://huggingface.co/api/models/litagin/Style-Bert-VITS2-2.0-base-JP-Extra
- other: license=LicenseRef-per-model-terms hosting=not_applicable redistribution=not_applicable modification=not_applicable training=unknown · outputs: credit lines are required when publishing audio from the Amitaro-based models (example "Style-BertVITS2モデル: 小春音アミ、あみたろの声素材工房 (https://amitaro.net/)"); the JVNV models carry CC BY-SA 4.0 obligations; project requests ask not to use for impersonation or deepfakes. · evidence: https://github.com/litagin02/Style-Bert-VITS2/blob/master/docs/TERMS_OF_USE.md

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