Text-to-Speech
ONNX
Safetensors
GGUF
Vietnamese
Chinese
English
tts
on-device
lazibook
conversational
Instructions to use StableDiffusionVN/lazibook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use StableDiffusionVN/lazibook with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf StableDiffusionVN/lazibook # Run inference directly in the terminal: llama cli -hf StableDiffusionVN/lazibook
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf StableDiffusionVN/lazibook # Run inference directly in the terminal: llama cli -hf StableDiffusionVN/lazibook
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf StableDiffusionVN/lazibook # Run inference directly in the terminal: ./build/bin/llama cli -hf StableDiffusionVN/lazibook
Use Docker
docker model run hf.co/StableDiffusionVN/lazibook
- Llama new
- LM Studio
- Jan
- Ollama
How to use StableDiffusionVN/lazibook with Ollama:
ollama run hf.co/StableDiffusionVN/lazibook
- Unsloth Desktop
- Docker Model Runner
How to use StableDiffusionVN/lazibook with Docker Model Runner:
docker model run hf.co/StableDiffusionVN/lazibook
- Lemonade
How to use StableDiffusionVN/lazibook with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull StableDiffusionVN/lazibook
Run and chat with the model
lemonade run user.lazibook-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
LaziBook — model files
Model files used by the LaziBook app (offline e-book reader and audiobook player for iOS, macOS and Android). Each folder keeps the licence of its original model.
app/ — bundled in the app (ios/Models, Android voice_* packs)
| Folder | Model | Source | Licence |
|---|---|---|---|
app/turbo/ |
VieNeu-TTS v3 Turbo (backbone MLP layers 1–10 4-bit, the rest 8-bit) | pnnbao-ump/VieNeu-TTS-v3-Turbo | Apache-2.0 |
app/nano/ |
VieNeu-TTS v3 Nano: text encoder, codec decoder (int8), voices. The estimator and duration predictor are LaziBook's own trained weights and are kept in a private repo | pnnbao-ump/VieNeu-TTS-v3-Nano | Apache-2.0 |
app/clone/ |
Nano encoders for voice cloning (codec, reference, speaker, denoiser) | VieNeu-TTS v3 Nano | Apache-2.0 |
app/codec/ |
MOSS Audio Tokenizer Nano (ONNX) | MOSS-Audio-Tokenizer-Nano-ONNX | Apache-2.0 |
app/g2p/ |
sea-g2p (Vietnamese G2P) | pnnbao97/sea-g2p | Apache-2.0 |
app/phonon/ |
Phonon 31M English, Core ML 4-bit palettized, precompiled .mlmodelc + 38 voices |
gradium/phonon-31m-en, gradium/phonon-voices | Apache-2.0 |
app/vitszh/ |
VITS Chinese (sherpa-onnx vits-zh-ll) |
k2-fsa/sherpa-onnx TTS models | see source |
app/matcha/ |
Matcha-TTS zh-en + Vocos 16 kHz (sherpa-onnx) | dengcunqin/matcha_tts_zh_en_20251010 | see source |
Optional downloads
| Folder | Used by | Source | Licence |
|---|---|---|---|
ming-3.0-tts-0.5B-4bit/ |
Mac app, Chinese/English voice pack | jorgepb96/Ming-3.0-tts-0.5B-4bit @ d06229c, from inclusionAI/Ming-3.0-tts-0.5B |
MIT |
mt/ |
Offline translation (Hy-MT2 1.8B 1.25-bit GGUF) | tencent/Hy-MT2-1.8B-1.25Bit-GGUF @ 9df5c82 |
Apache-2.0 |
- Downloads last month
- 12
Hardware compatibility
Log In to add your hardware
We're not able to determine the quantization variants.