v0.3.1
ysharma3501/NovaSRv0.3.1Jul 15, 2026by andimarafioti
Upgrading?
Release notes summary
This release exposes a public backend warmup API to resolve interface mismatches between Torch and GGML backends, ensuring compatibility across different implementations.
Key Highlights
- Added public `model.warmup(prefill_len=100)` API shared by the Torch and GGML backends.
- Maintained the former private `_warmup()` entry point as a compatibility alias.
- Updated demo Space deployment to install the published PyPI package.
New Features
- Improved backend interface compatibility between different TTS backends.
Full Release Notes
## Highlights - Add a public `model.warmup(prefill_len=100)` API shared by the Torch and GGML backends. - Keep the former private Torch `_warmup()` entry point as a compatibility alias. - Capture CUDA graphs once on Torch while treating GGML warmup as a safe no-op until qwentts.cpp exposes a native preparation hook. - Update internal, demo, example, and test callers to use the public API. - Install the published PyPI package in the demo Space deployment. This resolves the backend interface mismatch reported in [huggingface/speech-to-speech#354](https://github.com/huggingface/speech-to-speech/issues/354). ## Installation ```bash pip install faster-qwen3-tts==0.3.1 ``` For the optional GGML backend: ```bash pip install "faster-qwen3-tts[ggml]==0.3.1" ``` ## Changes - [#128](https://github.com/andimarafioti/faster-qwen3-tts/pull/128) — Expose public backend warmup API - [#122](https://github.com/andimarafioti/faster-qwen3-tts/pull/122) — Use the PyPI package in the demo Space **Full changelog:** https://github.com/andimarafioti/faster-qwen3-tts/compare/v0.3.0...v0.3.1
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