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+# Backend Option 3: faster-qwen-tts
+
+`--backend faster` talks to the OpenAI-compatible server from [faster-qwen3-tts](https://github.com/andimarafioti/faster-qwen3-tts), which uses CUDA graph capture for roughly 5-10x faster inference with the same models. **It requires an NVIDIA GPU**.
+
+The easiest way is to run `python audiobook.py` → **Set up a backend… → faster-qwen3-tts** (or `python app/backends/faster.py path/to/clone/wavs`): the TUI pip-installs `faster-qwen3-tts[demo]` into its managed venv (`app/envs/tts`), clones the repo, transcribes the `.wav` files with `whisper`, and writes `voices.json` for you. You can also start the server from the hub's **Server** menu, or let a conversion start it automatically.
+
+If you prefer to install the backend yourself (in your own environment, not the managed venv), the manual steps are below. Either way the hub detects a running server by its port, so a manually-installed backend works once its server is up.
+
+Install into your environment (the same one used for qwen-tts is fine):
+
+```bash
+conda activate audiobook
+pip install -U qwen-tts
+pip install "faster-qwen3-tts[demo]"
+```
+
+**This backend always uses voice cloning**. The reference voice and language are configured on the **server**, not through the converter. The server does not transcribe reference audio itself, so do it manually or use the `backends.faster` setup wizard (see below).
+
+The pip package does not include the server script, so clone the repository (the `backends.faster` wizard does this for you into `./faster-qwen3-tts`):
+
+```bash
+git clone https://github.com/andimarafioti/faster-qwen3-tts
+cd faster-qwen3-tts
+```
+
+Create a `voices.json` mapping names to reference configurations (.wav to clone, transcript, language). The TUI setup writes this for you; manually it looks like:
+
+```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"}
+}
+```
+
+Run the server
+
+```bash
+python examples/openai_server.py --voices voices.json --port 8000
+```
+
+Then from another terminal, run audiobook.py with `--backend faster`
+
+```bash
+python audiobook.py --backend faster [--voice NAME]
+```