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MODEL Listed

XTTS v2

XTTS v2 is a high-fidelity, cross-lingual text-to-speech model designed for developers needing realistic voice cloning across multiple languages. Unlike standard TTS engines that rely on predefined voices, XTTS v2 uses a 1.6B parameter architecture to clone a target speaker's unique prosody and tone from a short audio sample. For developers, the primary value lies in its ability to maintain speaker identity even when switching languages—a critical feature for localized content creation and multilingual NPCs in gaming. While it operates under the CPML license, which requires attention for commercial deployment, its integration capabilities make it a strong candidate for applications requiring low-latency, personalized voice synthesis. Compared to basic concatenative or parametric models, XTTS v2 offers significantly higher emotional nuance and naturalness, making it suitable for sophisticated conversational AI agents.

Coqui AItext to speech
01 / MODEL CARD

Model card

XTTS v2 is a high-fidelity, cross-lingual text-to-speech model designed for developers needing realistic voice cloning across multiple languages. Unlike standard TTS engines that rely on predefined voices, XTTS v2 uses a 1.6B parameter architecture to clone a target speaker's unique prosody and tone from a short audio sample. For developers, the primary value lies in its ability to maintain speaker identity even when switching languages—a critical feature for localized content creation and multilingual NPCs in gaming. While it operates under the CPML license, which requires attention for commercial deployment, its integration capabilities make it a strong candidate for applications requiring low-latency, personalized voice synthesis. Compared to basic concatenative or parametric models, XTTS v2 offers significantly higher emotional nuance and naturalness, making it suitable for sophisticated conversational AI agents.

Model typetext to speech
ProviderCoqui AI
LicenseCPML
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/coqui/XTTS-v2
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: coqui/XTTS-v2
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model coqui/XTTS-v2
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model coqui/XTTS-v2 README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('coqui/XTTS-v2')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/coqui/XTTS-v2.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/coqui/XTTS-v2.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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