F5 TTS — MLX

F5 TTS for the MLX framework.

This model is reshaped for MLX from the original weights and is designed for use with f5-tts-mlx

F5 TTS is a non-autoregressive, zero-shot text-to-speech system using a flow-matching mel spectrogram generator with a diffusion transformer (DiT).

You can listen to a sample here that was generated in ~11 seconds on an M3 Max MacBook Pro.

See F5-TTS for the original checkpoint.

Installation

pip install f5-tts-mlx

Usage

python -m f5_tts_mlx.generate --text "The quick brown fox jumped over the lazy dog."

If you want to use your own reference audio sample, make sure it's a mono, 24kHz wav file of around 5-10 seconds:

python -m f5_tts_mlx.generate \
--text "The quick brown fox jumped over the lazy dog."
--ref-audio /path/to/audio.wav
--ref-text "This is the caption for the reference audio."

You can convert an audio file to the correct format with ffmpeg like this:

ffmpeg -i /path/to/audio.wav -ac 1 -ar 24000 -sample_fmt s16 -t 10 /path/to/output_audio.wav

See here for more options to customize generation.

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You can load a pretrained model from Python like this:

from f5_tts_mlx.generate import generate

audio = generate(text = "Hello world.", ...)