pocket-tts-mlx 0.2.0

MLX backend for pocket-tts with Apple Silicon optimization

pocket-tts-mlx

MLX backend for pocket-tts optimized for Apple Silicon.

Runtime is torch-free. Torch is only required for optional parity tests.

Installation

PyPI install (available after release):

pip install pocket-tts-mlx

Local development:

pip install -e .

Model weights are downloaded from Hugging Face on first run. For voice cloning weights, accept the model terms and authenticate:

hf auth login

Quickstart

from pocket_tts_mlx import TTSModel

model = TTSModel.load_model()
state = model.get_state_for_audio_prompt("marius")
audio = model.generate_audio(state, "Hello from MLX!", max_tokens=200)

CLI

pocket-tts-mlx "Hello, world!" --voice marius --output output.wav

Voices

Predefined voices:

• alba
• marius
• javert
• jean
• fantine
• cosette
• eponine
• azelma

Requirements

• Python 3.10+
• Apple Silicon Mac (M1/M2/M3/M4)
• MLX
• Internet access for initial model downloads

Notes

• Voice cloning requires Hugging Face access to kyutai/pocket-tts.
• Non-voice-cloning weights are used automatically when voice cloning is unavailable.