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appautomaton/longcat-audiodit-3.5b-8bit-mlx
longcat-audiodit-3.5b-8bit-mlx is a text-to-speech model from appautomaton. Use it when you need text read aloud. It is set up for mlx. The card lists the license as mit.
This repository contains a self-contained MLX-native int8 conversion of LongCat AudioDiT 3.5B for local text-to-speech on Apple Silicon.
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From the Hugging Face model README
This repository contains a self-contained MLX-native int8 conversion of LongCat AudioDiT 3.5B for local text-to-speech on Apple Silicon.
It is intended for local speech generation with
mlx-speech, without a PyTorch
runtime at inference time.
meituan-longcat/LongCat-AudioDiT-3.5BThis bundle is self-contained and includes:
config.jsonmodel.safetensorstokenizer.json, tokenizer_config.json, special_tokens_map.json)Basic generation:
python scripts/generate/longcat_audiodit.py \
--text "Hello from LongCat AudioDiT." \
--output-audio outputs/longcat.wav
Voice cloning:
python scripts/generate/longcat_audiodit.py \
--text "Hello from LongCat AudioDiT." \
--prompt-text "Original speaker text." \
--prompt-audio /path/to/prompt.wav \
--output-audio outputs/longcat_clone.wav \
--guidance-method apg
Minimal Python usage:
from pathlib import Path
from mlx_speech.generation.longcat_audiodit import generate_longcat_audiodit
result = generate_longcat_audiodit(
text="Hello from LongCat AudioDiT.",
output_audio="outputs/longcat.wav",
)
--guidance-method apg (Adaptive Projected Guidance) or
cfg (Classifier-Free Guidance, default). --guidance-strength controls
speaker adherence (default: 4.0).MIT License — following the upstream license published with
meituan-longcat/LongCat-AudioDiT-3.5B.