---
author: CivitaiOfficial
baseModel: Other
hashes:
  AutoV1: 3FA1DD2C
  AutoV2: FFE5FFB855
  AutoV3: 5FD39CC173B3
  BLAKE3: C0385881C1DCFC0537316780F9F31CD42467FF9627CBF9A936293584C965BD16
  CRC32: 89DF0DBE
  SHA256: FFE5FFB855086C2AB55E467E9859FB01894781020A0376484DD19DE166B79873
metadata:
  format: SafeTensor
  fp: bf16
  size: full
modelPage: https://civitai.com/models/2549270?modelVersionId=2865045
preview:
- https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2f9d8a3d-26ab-40ed-8155-cbceaf6f83ee/original=true/129154042.jpeg
website: Civitai
---

# Trigger Words

No trigger words

# About this version

No description about this version

# ACE-Step Audio Gen

Originally posted: <https://huggingface.co/ACE-Step/ACE-Step-v1-3.5B>

<https://github.com/ace-step/ACE-Step>

**Model Description**
---------------------

ACE-Step is a novel open-source foundation model for music generation that overcomes key limitations of existing approaches through a holistic architectural design. It integrates diffusion-based generation with Sana's Deep Compression AutoEncoder (DCAE) and a lightweight linear transformer, achieving state-of-the-art performance in generation speed, musical coherence, and controllability.

**Key Features:**

* 15× faster than LLM-based baselines (20s for 4-minute music on A100)
* Superior musical coherence across melody, harmony, and rhythm
* full-song generation, duration control and accepts natural language descriptions

**Uses**
--------

### **Direct Use**

ACE-Step can be used for:

* Generating original music from text descriptions
* Music remixing and style transfer
* edit song lyrics

### **Downstream Use**

The model serves as a foundation for:

* Voice cloning applications
* Specialized music generation (rap, jazz, etc.)
* Music production tools
* Creative AI assistants
