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inference-and-model-zoo

inference-and-model-zoo

Use Coqui TTS Python APIs and model registry for released-model inference, custom checkpoint loading, speaker/language selection, and safe model download decisions.

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name: inference-and-model-zoo description: "Use Coqui TTS Python APIs and model registry for released-model inference, custom checkpoint loading, speaker/language selection, and safe model download decisions." disable-model-invocation: true metadata: disco-role: operating license: MPL 2.0

Inference and Model Zoo

Use this sub-skill when a task asks for Python TTS.api.TTS inference, released model discovery, model registry queries, custom checkpoint loading for inference, speaker/language selection, or deciding whether it is safe to load/download a pretrained Coqui TTS model.

Start here

  1. For exact Python signatures and object responsibilities, read references/api-reference.md.
  2. For model-name grammar, registry counts, default vocoders, dynamic Fairseq/XTTS names, and license/TOS handling, read references/model-zoo.md.
  3. For copyable Python workflows, custom checkpoint patterns, XTTS/YourTTS voice cloning, and high-level streaming notes, read references/workflows.md.
  4. For predictable failures and recovery actions, read references/troubleshooting.md.

Safe helper scripts

  • Run scripts/inspect_tts_models.py to count, filter, or query the installed registry. It is read-only and does not download model weights.
  • Run scripts/synthesize_text.py only after choosing a model. It supports --dry-run; when using a released --model-name, it refuses to load until --allow-download acknowledges possible downloads, cache writes, and TOS prompts.

Route boundaries

Operating cautions

  • Coqui TTS 0.22.0 supports Python >=3.9,<3.12; do not treat Python 3.12+ or 3.13+ import behavior as supported.
  • Model listing and metadata queries are safe. Loading a released model can download large files, update the model cache, check hashes, and prompt for license/TOS acceptance.
  • CUDA is optional for this skill. Use CPU for metadata and tiny validations; request/confirm GPU only for practical synthesis speed, XTTS/Bark/Tortoise workloads, or user-requested performance checks.
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