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acestep-v15-xl-base-bf16
Makaveliai/acestep-v15-xl-base-bf16
acestep-v15-xl-base-bf16 is a text-to-audio model from Makaveliai. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
<h1 align="center"ACE-Step 1.5 XL — Base (4B DiT) BF16</h1
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At a glance
- Task
- Text-to-Audio
- Library
- transformers
- License
- mit
- Model type
- acestep
- Access
- Public
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026
- SHA
- c417c436
Base models
Model card
From the Hugging Face model README
<h1 align="center">ACE-Step 1.5 XL — Base (4B DiT) BF16</h1>
<p align="center">
<a href="https://ace-step.github.io/ace-step-v1.5.github.io/">Project</a> |
<a href="https://huggingface.co/collections/ACE-Step/ace-step-15">Hugging Face</a> |
<a href="https://modelscope.cn/collections/ACE-Step/Ace-Step-15-xl">ModelScope</a> |
<a href="https://huggingface.co/spaces/ACE-Step/Ace-Step-v1.5">Space Demo</a> |
<a href="https://discord.gg/PeWDxrkdj7">Discord</a> |
<a href="https://arxiv.org/abs/2602.00744">Tech Report</a>
</p>
Model Details
This is the BF16 version of ACE-Step/acestep-v15-xl-base — the XL (4B) Base variant of ACE-Step 1.5. This BF16 conversion reduces memory usage while maintaining near-identical quality to the original model. It is a full-quality base model that generates high-quality audio in 50 steps with CFG, offering high diversity and support for all tasks (extract, lego, complete).
XL 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 | 50 (with CFG) |
GPU Requirements
| 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.
Key Features
- 💰 Commercial-Ready: Trained on legally compliant datasets. Generated music can be used for commercial purposes.
- 📚 Safe Training Data: Licensed music, royalty-free/public domain, and synthetic (MIDI-to-Audio) data.
- 🎯 High Diversity: Base model offers the highest diversity among XL variants.
- 🔧 All Tasks: Supports extract, lego, and complete tasks.
- 🧠 BF16 Precision: Converted to BF16 for reduced VRAM usage and faster inference, with negligible quality loss.
Quick Start
# 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-base-bf16 --local-dir ./checkpoints/acestep-v15-xl-base-bf16
# Run with Gradio UI
python acestep --config-path acestep-v15-xl-base-bf16
Model Zoo
XL (4B) DiT Models
| 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-base-bf16 | ✅ | 50 | High | High | All (extract, lego, complete) | This repo | — |
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 | Link | — |
LM Models (all compatible with XL)
| 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 |
Acknowledgements
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.
Citation
@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}
}
- Task
- Text-to-Audio
- Library
- transformers
- Type
- acestep
- License
- mit
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026