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.gitattributes

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README.md

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+---
+license: mit
+language:
+- en
+base_model:
+- yl4579/StyleTTS2-LJSpeech
+pipeline_tag: text-to-speech
+library_name: loom-py-rt
+---
+# StyleTTS2 (LJSpeech)
+
+yl4579's StyleTTS2 LJSpeech checkpoint, exported for loom.cpp. Takes phoneme ids, not text.
+
+This is a [loom.cpp](https://github.com/loom-ai-org/loom.cpp) export: a single self-describing GGUF
+that carries its own graph topologies, tokenizer (if any) and driver script, produced by
+[loom-exporter](https://github.com/loom-ai-org/loom-exporter).
+
+## Original model
+
+Exported from [`yl4579/StyleTTS2-LJSpeech`](https://huggingface.co/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](https://github.com/loom-ai-org/loom-py) -- `loom-py-rt` on PyPI:
+
+```sh
+pip install loom-py-rt[hub]
+```
+
+```python
+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.

styletts2-ljspeech.gguf

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