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README.md

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-# XTTS_v2_a14057308520706048568675
+---
+license: other
+license_name: coqui-public-model-license
+license_link: https://coqui.ai/cpml
+library_name: coqui
+pipeline_tag: text-to-speech
+widget:
+  - text: "Once when I was six years old I saw a magnificent picture"
+---
 
-XTTS-v2 
+# ⓍTTS
+ⓍTTS 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.
+
+This is the same or similar model to what powers [Coqui Studio](https://coqui.ai/) and [Coqui API](https://docs.coqui.ai/docs).
+
+### Features
+- Supports 16 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 16 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) and Korean (ko)**.
+
+Stay tuned as we continue to add support for more languages. If you have any language requests, feel free to reach out!
+
+### Code
+The [code-base](https://github.com/coqui-ai/TTS) supports inference and [fine-tuning](https://tts.readthedocs.io/en/latest/models/xtts.html#training).
+
+### Demo Spaces
+- [XTTS Space](https://huggingface.co/spaces/coqui/xtts)  :  You can see how model performs on supported languages, and try with your own reference or microphone input
+- [XTTS Voice Chat with Mistral or Zephyr](https://huggingface.co/spaces/coqui/voice-chat-with-mistral) : You can experience streaming voice chat with Mistral 7B Instruct or Zephyr 7B Beta
+
+### License
+This model is licensed under [Coqui Public Model License](https://coqui.ai/cpml). There's a lot that goes into a license for generative models, and you can read more of [the origin story of CPML here](https://coqui.ai/blog/tts/cpml).
+
+### Contact
+Come and join in our 🐸Community. We're active on [Discord](https://discord.gg/fBC58unbKE) and [Twitter](https://twitter.com/coqui_ai).
+You can also mail us at info@coqui.ai.
+
+Using 🐸TTS API:
+
+```python
+from TTS.api import TTS
+tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=True)
+
+# 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")
+
+# generate speech by cloning a voice using custom 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",
+                decoder_iterations=30)
+```
+
+Using 🐸TTS Command line:
+
+```console
+ 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:
+
+```python
+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",
+)
+```