by marcorez8
Open source · 657 downloads · 6 likes
ACE-Step v15 XL Turbo BF16 is an AI model specialized in fast, high-quality music generation. With its optimized architecture of 4 billion parameters and accelerated distillation, it produces tracks in just 8 inference steps, balancing speed and sound fidelity. Designed for commercial use, it relies on legally compliant training data, including licensed music, royalty-free works, and audio synthesized from MIDI scores. Its BF16 version significantly reduces memory usage while maintaining nearly identical quality to the original, making it accessible on more modest GPU setups. Ideal for creators, developers, or businesses looking to integrate high-performance music generation into their projects, it stands out for its balance of speed, quality, and legal compliance.
Project | Hugging Face | ModelScope | Space Demo | Discord | Tech Report
This is the BF16 version of ACE-Step/acestep-v15-xl-turbo — the XL (4B) Turbo variant of ACE-Step 1.5. This BF16 conversion reduces memory usage while maintaining near-identical quality to the original model. It is a distillation-accelerated model that generates high-quality audio in just 8 steps, combining the speed of turbo with the quality of the 4B architecture.
| Parameter | Value |
|---|---|
| DiT Decoder hidden_size | 2560 |
| DiT Decoder layers | 32 |
| DiT Decoder attention heads | 32 |
| Encoder hidden_size | 2048 |
| Encoder layers | 8 |
| Total params | ~4B |
| Weights size (bf16) | ~7.5 GB |
| Inference steps | 8 (no CFG, distilled) |
| VRAM | Support |
|---|---|
| ≥8 GB | With CPU offload + INT8 quantization |
| ≥12 GB | With CPU offload |
| ≥16 GB | Without offload (recommended) |
| ≥20 GB | Full quality (XL + 4B LM) |
All LM models (0.6B / 1.7B / 4B) are fully compatible with XL.
🔮 Higher Quality: 4B parameters provide richer audio quality than 2B turbo.
🧠 BF16 Precision: Converted to BF16 for reduced VRAM usage and faster inference, with negligible quality loss.
# Install ACE-Step
git clone https://github.com/ace-step/ACE-Step-1.5.git
cd ACE-Step-1.5
pip install -e .
# Download this model
huggingface-cli download marcorez8/acestep-v15-xl-turbo-bf16 --local-dir ./checkpoints/acestep-v15-xl-turbo-bf16
# Run with Gradio UI
python acestep --config-path acestep-v15-xl-turbo-bf16
| DiT Model | CFG | Steps | Quality | Diversity | Tasks | Hugging Face | ModelScope |
|---|---|---|---|---|---|---|---|
acestep-v15-xl-base | ✅ | 50 | High | High | All (extract, lego, complete) | Link | Link |
acestep-v15-xl-sft | ✅ | 50 | Very High | Medium | Standard | Link | Link |
acestep-v15-xl-turbo | ❌ | 8 | Very High | Medium | Standard | Link | Link |
acestep-v15-xl-turbo-bf16 | ❌ | 8 | Very High | Medium | Standard | This repo | — |
| LM Model | Params | Audio Understanding | Composition | Hugging Face | ModelScope |
|---|---|---|---|---|---|
acestep-5Hz-lm-0.6B | 0.6B | Medium | Medium | Link | Link |
acestep-5Hz-lm-1.7B | 1.7B | Medium | Medium | Included in main | Included in main |
acestep-5Hz-lm-4B | 4B | Strong | Strong | Link | Link |
This project is co-led by ACE Studio and StepFun. The BF16 conversion was done by marcorez8 to make the model more accessible to the community.
@misc{gong2026acestep,
title={ACE-Step 1.5: Pushing the Boundaries of Open-Source Music Generation},
author={Junmin Gong, Yulin Song, Wenxiao Zhao, Sen Wang, Shengyuan Xu, Jing Guo},
howpublished={\url{https://github.com/ace-step/ACE-Step-1.5}},
year={2026},
note={GitHub repository}
}