metadata
library_name: mlx
tags:
- mlx
- music-generation
- ace-step
- audio
- text-to-music
base_model: ACE-Step/ACE-Step1.5
ACE-Step 1.5 MLX (4-bit Quantized)
4-bit quantized MLX weights for ACE-Step/ACE-Step1.5.
- Decoder and encoder quantized to 4-bit (group_size=64)
- VAE, tokenizer, and detokenizer kept in full precision
- 2.2GB main model + 0.7GB VAE + 2.4GB text encoder
Usage
from mlx_audio.tts import load
model = load("mlx-community/ACE-Step1.5-MLX-4bit")
for result in model.generate(
text="upbeat electronic dance music with energetic synthesizers",
duration=30.0,
):
audio = result.audio # [samples, 2] stereo @ 48kHz
sample_rate = result.sample_rate
With Vocals
for result in model.generate(
text="English pop song with clear female vocals, catchy melody",
lyrics="""[verse]
Dance with me tonight
Under the neon lights
[chorus]
We're alive, we're on fire
Dancing higher and higher
""",
duration=60.0,
vocal_language="en",
):
...
The model uses a 5Hz Language Model planner by default (use_lm=True) which generates
a song blueprint before running the diffusion transformer.