StyleTTS2 (LJSpeech)
yl4579's StyleTTS2 LJSpeech checkpoint, exported for loom.cpp. Takes phoneme ids, not text.
This is a loom.cpp export: a single self-describing GGUF that carries its own graph topologies, tokenizer (if any) and driver script, produced by loom-exporter.
Original model
Exported from yl4579/StyleTTS2-LJSpeech. Weights are unmodified; this repo packages the same parameters into
loom.cpp's GGUF format.
License
mit, inherited from the base model above.
Language(s)
en
the HF repo carries no license:/language: tags; MIT per the upstream GitHub repo's LICENSE (github.com/yl4579/StyleTTS2)
Usage
Run it with loom-py -- loom-py-rt on PyPI:
pip install loom-py-rt[hub]
import loom
model = loom.Model.from_pretrained("loom-ai-org/styletts2-ljspeech-loom")
# styletts2-ljspeech takes phoneme ids, not text -- see model.driver_source for the exact driver inputs.
audio = model.infer(tokens=[16, 40, 22, 30, 12, 3], n_steps=4, seed=1234)
model.driver_source prints the exact driver script this GGUF embeds, including a header comment
documenting every argument model.infer()/model.generate() accepts for this model.
Files
styletts2-ljspeech.gguf-- the model, exported with loom-exporter.
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Base model
yl4579/StyleTTS2-LJSpeech