Instructions to use cstr/supertonic-3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Supertonic
How to use cstr/supertonic-3-GGUF with Supertonic:
from supertonic import TTS tts = TTS(auto_download=True) style = tts.get_voice_style(voice_name="M1") text = "The train delay was announced at 4:45 PM on Wed, Apr 3, 2024 due to track maintenance." wav, duration = tts.synthesize(text, voice_style=style) tts.save_audio(wav, "output.wav")
- Notebooks
- Google Colab
- Kaggle
Supertonic-3 โ GGUF for CrispASR
GGUF conversion of Supertone/supertonic-3 for the native ggml runtime in CrispASR (issue #434). Non-autoregressive flow-matching TTS, 44.1 kHz, 31 languages, ~99 M parameters, ten preset voices.
ONE file: the four networks (duration predictor, text encoder, vector estimator, vocoder), the unicode indexer, the NFKD text-normalisation tables and all ten voice styles (F1โF5, M1โM5) are embedded.
Usage
crispasr --backend supertonic -m supertonic3-f16.gguf \
--tts "Hello from Supertonic." -o out.wav
# language / voice / speed / flow steps
crispasr --backend supertonic -m auto --tts "Guten Tag." -l de \
--voice F2 --tts-speed 1.1 --tts-steps 8 -o out_de.wav
License and attribution
The model weights are OpenRAIL-M, inherited from Supertone/supertonic-3 (Supertone, Inc.). The license permits commercial use but carries USE RESTRICTIONS (see the base repo's LICENSE) โ you are responsible for complying with them. The upstream sample code that defines the inference pipeline is MIT (supertone-inc/supertonic). This conversion changes the storage format only; all credit for the model belongs to Supertone.
Validation
Converted and validated on Kaggle (chr1str/crispasr-supertonic-434):
per-stage parity against the upstream onnxruntime pipeline (text encoder,
all 8 CFG flow steps and the vocoder), plus a TTSโASR roundtrip with an
upstream-reference control arm. See validation/results-434.json.
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Model tree for cstr/supertonic-3-GGUF
Base model
Supertone/supertonic-3