Re-export styletts2-ljspeech (loom-exporter d965717)

README.md

@@ -35,19 +35,34 @@ the HF repo carries no `license:`/`language:` tags; MIT per the upstream GitHub
 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]>=1.0.0rc1"
+pip install -U "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)
+
+# styletts2-ljspeech is trained on phonemes. Its symbol table ships in the GGUF, so the only piece that is not in
+# the file is grapheme-to-phoneme -- a property of the language rather than of this checkpoint:
+#     pip install "loom-py-rt[phonemes]"
+audio = model.text2speech.infer("hello world")
+audio.save("out.wav")
+
+# Without that extra, or with your own G2P, pass phonemes instead:
+audio = model.text2speech.infer(phonemes=model.tokenize("həˈloʊ"))
 ```
 
-`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.
+### The layer underneath
+
+The call above is the high-level door: one per task, named for the modality pair it maps between, with
+the windowing, sampling and assembly this model needs already applied. Under it, `model.infer(...)`
+passes your arguments straight to the driver this GGUF embeds -- which is where you go for a knob the
+door does not name.
+
+`model.driver_source` prints that driver, including a header comment documenting every argument it
+accepts for this model, and is the authority on it. See [loom-py](https://github.com/loom-ai-org/loom-py) for the API and
+[loom.cpp](https://github.com/loom-ai-org/loom.cpp) for what the engine does between the two.
 
 ## Files
 

styletts2-ljspeech.gguf

@@ -1,3 +1,3 @@
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-size 411046112
+oid sha256:7a30d5e3d40e9c75aa667aa06042e138f23edd56ce9bc314d58c883d7e553e3a
+size 411048672