README.md

metadata

license: openrail
base_model:
  - supertone-oss-archive/supertonic-2
language:
  - ko
  - en
  - es
  - pt
  - fr
pipeline_tag: text-to-speech
library_name: onnx
tags:
  - onnxruntime-web
  - webgpu

Supertonic 2 — web (fp16 weights)

Supertonic 2를 브라우저(onnxruntime-web, WebGPU·WASM)에서 가볍게 받도록 다시 저장한 것입니다. 서가(Seoga) 리더의 "서가 음성"이 이 파일을 받아 기기에서 합성합니다.

A browser-friendly repackaging of Supertone Supertonic 2 (revision 7edbcd0bba8cd579100a353a9e0b2b49cad7c875) for onnxruntime-web (WebGPU / WASM).

What changed

• Large float32 initializers (≥1024 elements) are stored as float16 and cast back to float32 by a Cast node at the start of each graph. ONNX Runtime folds these casts when the session is created, so inference still runs in float32; only the download size is halved (~263 MB → ~130 MB).
• Graph inputs/outputs, tts.json, unicode_indexer.json and the ten preset voice styles (voices/F1–F5, M1–M5) are unchanged.
• webgpu/: the same four models converted to float16 compute (inputs/outputs stay float32) for WebGPU. They use half the GPU memory because weights are not expanded to float32 — important on phones (iOS). Seoga uses them first on WebGPU and falls back to the root files (WebGPU without shader-f16, or WASM).
• manifest.json lists file sizes for download progress (including webgpu/).

Conversion script: packages/tts/scripts/prepare-models.py in the Seoga repository.

License

The model weights are licensed under the BigScience Open RAIL-M License by Supertone Inc. This repackaging is a derivative of the model and is distributed under the same license, including its use-based restrictions (see LICENSE, Attachment A). Original model and code: supertone-inc/supertonic (sample code MIT).