Model reference · open weights
acestep-xl is an open-weight audio or speech model from ACE-Step. acestep-v15-xl-turbo-diffusers (BF16) weighs 11.1 GB; the smallest configuration that runs it is RTX 4060 Ti 16 GB.
Summary of the ACE-Step/acestep-v15-xl-turbo model card, 2026-10-01. The estimate below is for another build of the family.
What it is
| Released by | ACE-Step |
|---|---|
| Released | 2026-04-02 |
| Parameters | 5.0B |
| VRAM | 11.1 GB for the weights |
What it runs on
| Card | One stream | Memory |
|---|---|---|
| RTX 3060 12 GB | does not fit | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
Builds
| Build | Params | Precision | Weights | Smallest setup |
|---|---|---|---|---|
| acestep-v15-xl-turbo ↗ | 5.0B | FP32 | 10.0 GB | RTX 3060 12 GB |
| acestep-v15-xl-turbo-diffusers (above) ↗ | 4.2B | BF16 | 11.1 GB | RTX 4060 Ti 16 GB |
From the model card
This is the XL (4B) Turbo variant of ACE-Step 1.5 — a distillation-accelerated model that generates high-quality audio in just 8 steps. Combines 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) | ~18.8 GB |
| Inference steps | 8 (no CFG, distilled) |
| VRAM | Support |
|---|---|
| ≥12 GB | With CPU offload + INT8 quantization |
| ≥16 GB | With CPU offload |
| ≥20 GB | Without offload (recommended) |
| ≥24 GB | Full quality (XL + 4B LM) |
All LM models (0.6B / 1.7B / 4B) are fully compatible with XL.
# 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 ACE-Step/acestep-v15-xl-turbo --local-dir ./checkpoints/acestep-v15-xl-turbo
# Run with Gradio UI
python acestep --config-path acestep-v15-xl-turbo
| 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 | This repo | Link |
| 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.
@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}
}
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
Running it yourself
Rent a machine by the hour. How to run this model is on its model card.