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Diffstat (limited to 'docs')
| -rw-r--r-- | docs/backend-faster.md | 6 | ||||
| -rw-r--r-- | docs/backend-qwen.md | 2 |
2 files changed, 5 insertions, 3 deletions
diff --git a/docs/backend-faster.md b/docs/backend-faster.md index 83614c7..40b10f7 100644 --- a/docs/backend-faster.md +++ b/docs/backend-faster.md @@ -10,16 +10,16 @@ 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 `tools/make_faster_voices_json.py` helper (see below). +**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 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). Optionally run `python ./tools/make_faster_voices_json.py path/to/clone/wavs` to automatically create a `voices.json` using whisper to automatically transcribe the test audio. +Create a `voices.json` mapping names to reference configurations (.wav to clone, transcript, language). The TUI setup (`python audiobook.py` → **Set up a backend… → faster-qwen3-tts**, or `python -m backends.faster path/to/clone/wavs`) pip-installs the package, clones the repo, transcribes the `.wav` files with `whisper`, and writes `voices.json` for you. ```json { diff --git a/docs/backend-qwen.md b/docs/backend-qwen.md index 34078e3..b564149 100644 --- a/docs/backend-qwen.md +++ b/docs/backend-qwen.md @@ -1,5 +1,7 @@ # Backend Option 2: Qwen3-TTS +The TUI sets this up: run `python audiobook.py` → **Set up a backend… → Qwen3-TTS**, or `python -m backends.qwen`. It pip-installs `qwen-tts` and configures the two ports and built-in speaker in `converter/config.py`, then prints the launch commands. Manual steps: + Install qwen-tts with pip: ```bash |