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coquiXTTS-v2

XTTS

Supplies the mandatory XTTS v2 speaker reference and a supported language code.

Text to speechVoiceHub-nativextts2Parameters: 466.9MLanguages: en, es +15Training: preprocessedLicense: CPML

Parameter metadata: Exact learned-parameter total for VoiceHub's audited native primary graph at the registered default selection; separately loaded auxiliary models are excluded.

Use this model Checkpoint
Resources
Upstream GitHub VoiceHub source Open in Colab

Usage

Complete the VoiceHub installation once, then run this repository-authored example. Model pages intentionally contain no package-install command.

This example is maintained against VoiceHub's public API; it is not copied from an upstream demo or package README.

Model-specific path: Supplies the mandatory XTTS v2 speaker reference and a supported language code.

Inputs and controls: XTTS rejects missing reference files and unsupported checkpoint language codes before synthesis.

from pathlib import Path

from voicehub import AutoModelForTextToSpeech, TTSGenerationConfig

REFERENCE_AUDIO = Path("reference.wav")
REFERENCE_TEXT = "The reference transcript must exactly match the authorized audio."
if not REFERENCE_AUDIO.is_file():
    raise FileNotFoundError(REFERENCE_AUDIO)

model = AutoModelForTextToSpeech.from_pretrained(
    'coqui/XTTS-v2',
    model_type='xtts',
    device="cuda",
    lazy_load=True,
)
output = model.generate(
    'VoiceHub keeps model integrations explicit and reproducible.',
    generation_config=TTSGenerationConfig(
        seed=42,
        output_file=Path("output.wav"),
    ),
    speaker_audio_path=str(REFERENCE_AUDIO),
    language="en",
    speed=1.0,
)
print(output.file_path, output.sample_rate, output.metadata)

Use authorized recordings. Verify hardware needs and pin a revision in production.

Overview

xtts is a VoiceHub text to speech integration. This page is generated from its registry contract. Open the xtts Colab notebook.

Property Value
Task Text to speech
Architecture xtts2
Runtime VoiceHub-native
Languages en, es, fr, de, … complete audited list below
Capabilities text-to-speech, voice-cloning, multilingual, fine-tuning, safetensors, voicehub-native, native-runtime, preencoded-code-fine-tuning, gpt-fine-tuning, restricted-pickle-conversion
Reusable components —
Normalized output TTSOutput

Language support

Supported language abbreviations

en, es, fr, de, it, pt, pl, tr, ru, nl, cs, ar, zh-CN, hu, ko, ja, hi

Paper and GitHub

Configuration

Load configuration without constructing the model:

from voicehub import AutoConfig

config = AutoConfig.for_model('xtts')
print(config.model_type)
Property Value
Canonical model type xtts
Configuration class XTTSConfig
Architecture class XTTSForTextToSpeech

Processing

Create the registered processor without allocating model weights:

from voicehub import AutoProcessor

processor = AutoProcessor.from_pretrained(
    'coqui/XTTS-v2',
    model_type='xtts',
)
print(type(processor).__name__)

Inference

The Usage example returns TTSOutput through AutoModelForTextToSpeech.

Input and output contract

Property Value
Readiness preprocessed
Data architecture hybrid
Sample rate 22,050 Hz
Contract getter get_tts_dataset_spec('xtts')
Variant Required fields One of Boundary Other rules
native-gpt-tokens text_inputs, text_lengths, audio_codes, wav_lengths cond_mels / cond_latents Prepared —
native-gpt-waveform text_inputs, text_lengths wav / audio_values; cond_mels / cond_latents Prepared at most one: wav / audio_values; forbidden: audio_codes

Multi-component language-model, diffusion, acoustic, or GAN data. See the data workflow.

Training and optimization

Use available_optimization_passes() to discover reversible public passes. Unsupported runtime or hardware fails closed before mutation.

Training contract

Property Value
Support preprocessed
Family composite
Recipe single-phase
Default phase language_model
Training checkpoint coqui/XTTS-v2
Native training graph yes
Phase Kind Components Required inputs Loss keys
language_model objective model.gpt text_inputs, text_lengths, audio_codes, wav_lengths loss, loss_text_ce, loss_mel_ce

Prepare the exact tensors listed in the data contract before this step. Call model.validate_training_support() first, then follow the training workflow.

Checkpoints, provenance, license, and limitations

Property Value
Default checkpoint coqui/XTTS-v2
Hugging Face ID coqui/XTTS-v2
Repository availability verified through the Hugging Face model API on 2026-08-11; pin a revision before production use.
Checkpoint status Registry default; pin an immutable revision for production and reproducible evidence
Optional dependency extra Core package
Hardware and runtime Usage selects cuda; verify checkpoint-specific requirements
Real-checkpoint evidence Release evidence; a registry default alone is not execution evidence
Implementation voicehub.models.xtts.modeling_xtts.XTTSForTextToSpeech
Configuration voicehub.models.xtts.configuration_xtts.XTTSConfig
Source provenance voicehub/models/xtts/source/SOURCE.json
License CPML

XTTS checkpoint terms are separate from the MPL-2.0 runtime source. Commercial use: review required.

Confirm the checkpoint revision, access terms, provenance, and license.

Limitations

  • No integration-specific checkpoint limitation is registered. Verify the selected checkpoint revision and its documented runtime requirements.
  • Validate memory, precision, and optional dependencies on the target system.
  • Public optimizations fail closed when the runtime or hardware cannot satisfy their validation contract; an unavailable pass is not reported as applied.
  • Contract tests do not replace the linked released-checkpoint evidence.

Public API

Use the stable configuration, processor, and task-model facades below.

Configuration

XTTSConfig

View source

XTTSConfig(**config_kwargs)

Parameters

  • **config_kwargs — Configuration fields validated by XTTSConfig.

Model

XTTSForTextToSpeech

View source

AutoModelForTextToSpeech.from_pretrained(
    pretrained_model_name_or_path,
    *,
    model_type='xtts',
    config=None,
    **model_kwargs,
)

Parameters

  • pretrained_model_name_or_path — Hub ID or compatible local directory.
  • model_type — Canonical model type; use 'xtts'.
  • config — Optional preloaded XTTSConfig instance.
  • **model_kwargs — Model-specific loading arguments.
from voicehub import get_model_spec

spec = get_model_spec('xtts')
print(spec.display_name, spec.task.value)
Purpose Public object
Discover get_model_spec('xtts')
Load and run AutoModelForTextToSpeech
Configure XTTSConfig
Process AutoProcessor
Model implementation XTTSForTextToSpeech
Normalized output TTSOutput
Training contract get_training_spec('xtts')
Optimization lifecycle available_optimization_passes, apply_optimization_plan, optimization_manifest, restore_optimization_plan

See all model guides, inference, and the training matrix.