XTTS v2
coqui-public-model-license
Model source
- Kind
- Other
- File size
- 1.04 KB–1.74 GB
- Base model
- coqui/XTTS-v2
- Version
- vRevision 3a751ed
- Updated
- Sep 13, 2026
- Downloads
- 2
- Source
- Hugging Face
Source description
XTTS
XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. There is no need for an excessive amount of training data that spans countless hours.
Paper: https://arxiv.org/abs/2406.04904
Features
- Supports 17 languages.
- Voice cloning with just a 6-second audio clip.
- Emotion and style transfer by cloning.
- Cross-language voice cloning.
- Multi-lingual speech generation.
- 24khz sampling rate.
Updates over XTTS-v1
- 2 new languages; Hungarian and Korean
- Architectural improvements for speaker conditioning.
- Enables the use of multiple speaker references and interpolation between speakers.
- Stability improvements.
- Better prosody and audio quality across the board.
Languages
XTTS-v2 supports 17 languages: English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt), Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko) Hindi (hi).
Code
The code-base supports inference and fine-tuning.
| 🐸💬 CoquiTTS | GitHub |
| 💼 Documentation | ReadTheDocs |
| 👩💻 Questions | GitHub Discussions |
| 🗯 Community | Discord |
License
This model is licensed under Coqui Public Model License. There's a lot that goes into a license for generative models, and you can read more of the origin story of CPML here.
Contact
Come and join in our 🐸Community, we're active on Discord.
Using 🐸TTS API:
from TTS.api import TTS
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to("cuda")
# Generate speech by cloning a voice using default settings
tts.tts_to_file(
text="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
file_path="output.wav",
speaker_wav="/path/to/target/speaker.wav",
language="en"
)
Using 🐸TTS Command line:
tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
--text "Bugün okula gitmek istemiyorum." \
--speaker_wav /path/to/target/speaker.wav \
--language_idx tr \
--use_cuda true
Using the model directly:
from TTS.tts.configs.xtts_config import XttsConfig
from TTS.tts.models.xtts import Xtts
config = XttsConfig()
config.load_json("/path/to/xtts/config.json")
model = Xtts.init_from_config(config)
model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True)
model.cuda()
outputs = model.synthesize(
"It took me quite a long time to develop a voice and now that I have it I am not going to be silent.",
config,
speaker_wav="/data/TTS-public/_refclips/3.wav",
gpt_cond_len=3,
language="en",
)
Sources
1 source
Sources
1 sourceVerified Sep 13
Model artifacts
4 artifacts
Model artifacts
4 artifactsSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: other license_name: coqui-public-model-license license_link: https://tts-hub.github.io/cpml library_name: coqui pipeline_tag: text-to-speech base_model: coqui/XTTS-v2 language: - multilingual - en - es - fr - de - it - pt - pl - tr - ru - nl - cs - ar - zh - hu - ko - ja - hi widget: - text: "Once when I was six years old I saw a magnificent picture" output: url: samples/en_sample.wav - text: "Als ich sechs war, sah ich einmal ein wunderbares Bild" output: url: samples/de_sample.wav - text: "Cuando tenía seis años, vi una vez una imagen magnífica" output: url: samples/es_sample.wav - text: "Lorsque j'avais six ans j'ai vu, une fois, une magnifique image" output: url: samples/fr_sample.wav - text: "かつて 六歳のとき、素晴らしい絵を見ました" output: url: samples/ja-sample.wav - text: "Bir zamanlar, altı yaşındayken, muhteşem bir resim gördüm" output: url: samples/tr_sample.wav - text: "当我还只有六岁的时候， 看到了一副精彩的插画" output: url: samples/zh-cn-sample.wav - text: "Quando eu tinha seis anos eu vi, uma vez, uma imagem magnífica" output: url: samples/pt_sample.wav --- # XTTS XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. There is no need for an excessive amount of training data that spans countless hours. Paper: https://arxiv.org/abs/2406.04904 ### Features - Supports 17 languages. - Voice cloning with just a 6-second audio clip. - Emotion and style transfer by cloning. - Cross-language voice cloning. - Multi-lingual speech generation. - 24khz sampling rate. ### Updates over XTTS-v1 - 2 new languages; Hungarian and Korean - Architectural improvements for speaker conditioning. - Enables the use of multiple speaker references and interpolation between speakers. - Stability improvements. - Better prosody and audio quality across the board. ### Languages XTTS-v2 supports 17 languages: **English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt), Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko) Hindi (hi)**. ### Code The [code-base](https://github.com/idiap/coqui-ai-TTS) supports inference and [fine-tuning](https://coqui-tts.readthedocs.io/en/latest/models/xtts.html#training). | | | | ------------------------------- | --------------------------------------- |...
Source context: 2 downloads · 0 likes · Pipeline text-to-speech · Library coqui · Repo med-djd/XTTS-v2
