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- Strip ~55 stale upstream docs (dev docs never meant for the agents)
- Write new slim index.md as an agent-facing guide to the app's features
- Add new plugin docs: comfyui, elevenlabs, kokoro_tts, orpheus_tts_3b,
remote_connectivity, whisper_local (replacing old names)
- Add docs_host to UserFs: docs/… and ~/docs/… resolve to {WD}/docs,
mounted read-only at /root/docs in every user's container
- Instruct assistant/kid/project-coordinator agents to read docs/index.md
when users ask how the software works
1.8 KiB
1.8 KiB
Kokoro TTS
- Plugin id:
kokoro_tts - Category: Text-to-speech, local
- Runs: on this machine, as a Python subprocess this plugin manages — CPU-only, no API key
What it does
Lightweight, fast local text-to-speech using the Kokoro ONNX model. Runs on CPU (no GPU needed), supports several languages, and needs no account or API key. On first start it downloads its own model files (~310 MB + 27 MB) from GitHub releases and caches them locally — after that it works fully offline.
Requirements
python3available on the host (the plugin writes and spawns a small embedded Python server itself — nothing to install manually).- Internet access the first time it starts, to download the model files.
Enabling & configuring (admin)
- Plugin catalog → Kokoro TTS → enable, then Configure.
- Fields:
voice(defaultif_sara) — voice id. Prefix meaning:a=American,b=British,i=Italian,j=Japanese,z=Chinese;f=female,m=male. Includesif_sara,im_nicola(Italian), plus several English voices (af_*,am_*,bf_*,bm_*).lang(defaultit) — language code for phonemisation:it,en-us,en-gb,ja,zh,es,fr,hi,pt-br,ko.speed(default1.0, range0.5–2.0) — speech speed multiplier.
- Changing the config restarts the underlying subprocess automatically. No separate "add provider" step — it appears directly in the Models hub's TTS section once running.
Notes
- Best results when the text is written the way it would be spoken: short sentences, no markdown, no bullet points or symbols, standard orthography (accented letters are fine for Italian).
- Good default choice when a user wants spoken responses but has no GPU and no interest in paying for a cloud voice.