Instructions to use OpenVoiceOS/phoonnx-f5tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use OpenVoiceOS/phoonnx-f5tts with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
phoonnx-f5tts
ONNX exports of F5-TTS / Habibi-TTS flow-matching voices for use with
phoonnx's F5TTSAdapter
(engine: "f5tts").
Each voice is exported with DakeQQ/F5-TTS-ONNX
into three ONNX graphs (model.onnx = transformer, F5_Preprocess.onnx,
F5_Decode.onnx) plus a config.json and the model's vocab.txt.
Voices
| Directory | Source model | Language | License |
|---|---|---|---|
f5tts-v1-base/ |
SWivid/F5-TTS β F5TTS_v1_Base |
multilingual (EN, ZH, +) | CC-BY-NC-4.0 β non-commercial only |
habibi-tts-unified/ |
SWivid/Habibi-TTS β Unified |
Arabic (all dialects, recommended) | CC-BY-NC-SA-4.0 β non-commercial, share-alike |
habibi-tts-msa/ |
Habibi-TTS β Specialized/MSA |
Arabic (Modern Standard) | Apache-2.0 |
habibi-tts-egy/ |
Habibi-TTS β Specialized/EGY |
Arabic (Egyptian) | Apache-2.0 |
habibi-tts-sau/ |
Habibi-TTS β Specialized/SAU |
Arabic (Saudi) | CC-BY-NC-SA-4.0 |
habibi-tts-uae/ |
Habibi-TTS β Specialized/UAE |
Arabic (Emirati) | CC-BY-NC-SA-4.0 |
habibi-tts-alg/ |
Habibi-TTS β Specialized/ALG |
Arabic (Algerian) | Apache-2.0 |
habibi-tts-irq/ |
Habibi-TTS β Specialized/IRQ |
Arabic (Iraqi) | Apache-2.0 |
habibi-tts-mar/ |
Habibi-TTS β Specialized/MAR |
Arabic (Moroccan) | Apache-2.0 |
Licensing follows the upstream model cards: f5tts-v1-base is CC-BY-NC-4.0;
per SWivid/Habibi-TTS, Unified,
SAU and UAE are CC-BY-NC-SA-4.0 (SADA/Mixat restriction) while ALG, EGY,
IRQ, MAR and MSA are Apache-2.0. See each voice's own README.md.
The Unified voice supports dialect control via the dialect engine param
(UNK/MSA/SAU/UAE/ALG/IRQ/EGY/MAR) β see its README.
Listening samples
The samples/
folder has 2 wavs per voice, all synthesized through the phoonnx adapter, with
ASR round-trip intelligibility scores in
samples/RESULTS.md
(faster-whisper small; all 18 samples pass, CER β€ 0.16).
Usage
All voices are in-context cloning models β synthesis requires a short
reference clip and its transcription alongside the text to speak. See
phoonnx's F5-TTS docs
for a full example (library-level and the ovos-tts-plugin-phoonnx config).
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