hexgrad/styletts2
By hexgrad · ↓ 0 · ♥ 22 · Updated 2025-01-26
What's in this repo
This page lists the files in hexgrad/styletts2, including 14b6dd78237d223f172f8af702ed8aeb4a2c51fd0ff7e3ca03a4967d33fa13bc.onnx, 4612a9dc0c0e142468f361e8e901bdccfdca45a2ae1145e5452bc98c7915302d.onnx, 91473db52725b0c3b8387537979a2f42f0da82836e50902503a877c610864ad6.onnx and more.
- 4 ONNX models (.onnx files)
- 6 files, including 4 .onnx, 1 .md
- Last updated 2025-01-26
ONNX files
| File | Size | Download |
|---|---|---|
| 14b6dd78237d223f172f8af702ed8aeb4a2c51fd0ff7e3ca03a4967d33fa13bc.onnx | — | Download |
| 4612a9dc0c0e142468f361e8e901bdccfdca45a2ae1145e5452bc98c7915302d.onnx | — | Download |
| 91473db52725b0c3b8387537979a2f42f0da82836e50902503a877c610864ad6.onnx | — | Download |
| 99e40b35027e96a247c8e1f359d2f99d3cd6e93afec2e0f4a15f72dd7b79d457.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
This repository is a fossil.
This model is a direct ONNX conversion of yl4579/StyleTTS2-LibriTTS without modification to its weights and therefore inherits the original license. It currently powers a WebUI that performs TTS inference on CPU. To facilitate lazy loading, it is chunked into four parts.
The original PyTorch checkpoint, trained on a subset of LibriTTS by the authors of StyleTTS 2, can be considered a "base model", and it has some limitations. That base model should not be confused with Kokoro, a StyleTTS 2 variant using a different decoder architecture, which is currently only being hosted at https://hf.co/spaces/hexgrad/Kokoro-TTS.
This repository will likely remain dormant and undocumented. You are welcome to use these ONNX models subject to the original license, but be advised that in most cases PyTorch is likely the more suitable option. The ONNX conversion was not performance optimized and was intended for CPU usage. Informal benchmarking shows that this ONNX descendant is substantially outpaced by its PyTorch ancestor in GPU environments.
Model info
Created: 2024-05-08
Updated: 2025-01-26
View on Hugging Face