Instructions to use Avdpro/ACE-Step-1.5-Turbo-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/ACE-Step-1.5-Turbo-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/ACE-Step-1.5-Turbo-MLX --local-dir ACE-Step-1.5-Turbo-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
ACE-Step 1.5 Turbo MLX for AI2Apps
Converted from ACE-Step/Ace-Step1.5 revision 19671f406d603126926c1b7e2adc169acbcade22. Includes Turbo DiT, VAE, Qwen3-Embedding-0.6B and 1.7B planning LM. No quantization was added.
Modified tensors: convolution layouts transposed for MLX, LM keys prefixed with model., silence latent converted from a weights-only PyTorch tensor to NumPy. Original component precision is preserved. Conversion script is experiments/music_mlx/convert_ace.py in the AI2Apps Local project. Runtime uses the pinned mlx-audio commit in provenance.json.
ACE-Step is MIT licensed. Qwen3 components are subject to Apache-2.0. See the included component license notices. Package model code and checkpoint distributions are published separately; no runtime downloads or PyTorch fallback are needed.
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