Running this model locally is fastest when deployed through Docker.
Make sure to follow the instructions below.
1-click setup: the app automatically fetches the large weight files.
Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.
MOSS-TTS is a next‑generation text‑to‑speech model that employs a transformer‑based architecture for ultra‑realistic voice generation. It supports multiple languages and dialects, delivering natural prosody and emotion through its advanced phoneme tokenizer and context‑aware encoder. The model achieves *real‑time* synthesis on consumer hardware, thanks to optimized inference kernels and a compact parameter set. A built‑in speaker embedding system allows users to personalize voice characteristics, while a *high‑fidelity* loss function ensures minimal artifacts. The following table summarizes key technical specifications for quick reference.
| Parameter | Value |
|---|---|
| Model Type | Transformer‑based TTS |
| Supported Languages | 30+ languages & dialects |
| Parameter Count | 150M |
| Synthesis Speed | ≤ 50 ms per 100 characters |
| Speaker Embeddings | Customizable voice profiles |
- Setup utility enabling modern multi-head attention acceleration keys for host rigs
- Deploy MOSS-TTS on AMD/Nvidia GPU One-Click Setup Windows
- Script automating LM Studio model catalog indexing and local updates
- Launch MOSS-TTS PC with NPU with Native FP4
- Script fetching minimal terminal-based chat client binaries with full markdown generation terminal outputs
- MOSS-TTS No-Internet Version FREE
- Installer configuring automated VRAM garbage collection loops for WebUIs
- Quick Run MOSS-TTS Offline on PC Windows
