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# faster-qwen3-tts (`--backend faster`)
Runs the OpenAI-compatible demo server from [faster-qwen3-tts](https://github.com/andimarafioti/faster-qwen3-tts). The package installs into its own managed venv (`app/envs/faster`), the repo is cloned to `app/faster-qwen3-tts`.
Run all commands from the project root (next to `audiobook.py`).
## Requirements
- NVIDIA GPU
- git
## Install
1. Venv and package:
```bash
python3 -m venv app/envs/faster
app/envs/faster/bin/pip install "faster-qwen3-tts[demo]"
```
Do not install upstream `qwen-tts` into this venv — the two ship conflicting `qwen_tts` modules.
2. Clone the repo (the pip package does not include the server script):
```bash
git clone https://github.com/andimarafioti/faster-qwen3-tts app/faster-qwen3-tts
```
3. Create a `voices.json` mapping voice names to reference clips:
```json
{
"default": {"ref_audio": "voice1.wav", "ref_text": "Transcript of voice 1.", "language": "English"},
"obama": {"ref_audio": "voice2.wav", "ref_text": "Transcript of voice 2.", "language": "English"}
}
```
This backend always clones: every voice is a key in this file, and `ref_text` is the transcript of the clip.
## Run the server
```bash
app/envs/faster/bin/python app/faster-qwen3-tts/examples/openai_server.py --voices voices.json --port 8000
```
## Use it
```bash
python audiobook.py --backend faster --api-url http://127.0.0.1:8000 --voice default
```
`--voice` must be a key in the server's `voices.json`.
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