diff options
| author | historia <historiavg@proton.me> | 2026-08-20 23:50:37 -0400 |
|---|---|---|
| committer | historia <historiavg@proton.me> | 2026-08-20 23:50:37 -0400 |
| commit | 38c8fdcba7ce54ad0ad76be9ef0748df1c55ebc1 (patch) | |
| tree | 911e031ee0e4b902fcd3954df3838a920416e8a3 /README.md | |
| parent | 5c3df0a434059bd0d541bda35a51e49e3c44dd55 (diff) | |
| download | tts-audiobook-generator-38c8fdcba7ce54ad0ad76be9ef0748df1c55ebc1.tar.gz | |
feat: make_audiocpp_server_json.py takes an argument. remove chunk wording with audiocpp backend.
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 16 |
1 files changed, 8 insertions, 8 deletions
@@ -19,10 +19,11 @@ The converter sends text extracted from your books to a locally running Qwen3-TT - Python 3.12 - ffmpeg -- Enough VRAM to run the 1.7B model (~6GB) ## Installation +Create a python 3.12 environment, clone the repo, and install the requirements. + ```bash conda create -n qwen3-tts python=3.12 -y conda activate qwen3-tts @@ -33,14 +34,13 @@ pip install -r requirements.txt Put your book files (epub, etc.) in the `input/` directory. The output goes to `output/`. -You will also need to install one of the following backends (see below for installation/usage) +You need to install one of the following backends (see below for installation/usage) -| Backend | Description | -| -------------------------------------------------------------------- | ------------------------------------------------- | -| [Qwen-TTS](https://pypi.org/project/qwen-tts/) | Gradio server released by Qwen | -| [Faster-Qwen-TTS](https://github.com/andimarafioti/faster-qwen3-tts) | Server with 2-8x faster inference for NVidia GPUs | -| [audio.cpp](https://github.com/0xShug0/audio.cpp) (Qwen) | Newer C++ TTS backend that supports Qwen-TTS | -| [audio.cpp](https://github.com/0xShug0/audio.cpp) (other families) | Same backend hosting larger/higher-quality models | +| Backend | Description | +| -------------------------------------------------------------------- | ------------------------------------------------------ | +| [Qwen-TTS](https://pypi.org/project/qwen-tts/) | Gradio server released by Qwen | +| [Faster-Qwen-TTS](https://github.com/andimarafioti/faster-qwen3-tts) | Qwen server with 2-8x faster inference for NVidia GPUs | +| [audio.cpp](https://github.com/0xShug0/audio.cpp) | Newer C++ TTS backend that supports many recent models | ## Options |