---
license: mit
---

<div align="center">
<p align="center">
  <h1>MeanAudio: Fast and Faithful Text-to-Audio Generation with Mean Flows</h1>
  <!-- <a href=>Paper</a> | <a href="https://meanaudio.github.io/">Webpage</a>  -->

  [![Paper](https://img.shields.io/badge/Paper-arXiv-b31b1b?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2508.06098)
  [![Code](https://img.shields.io/badge/Code-Repo-black?style=flat&logo=github&logoColor=white)](https://github.com/xiquan-li/MeanAudio?tab=readme-ov-file)
  [![Hugging Face Model](https://img.shields.io/badge/Model-HuggingFace-yellow?logo=huggingface)](https://huggingface.co/AndreasXi/MeanAudio)
  [![Hugging Face Space](https://img.shields.io/badge/Space-HuggingFace-blueviolet?logo=huggingface)](https://huggingface.co/spaces/chenxie95/MeanAudio)
  [![Webpage](https://img.shields.io/badge/Website-Visit-orange?logo=googlechrome&logoColor=white)](https://meanaudio.github.io/)


</p>
</div>


## Overview 
MeanAudio is a novel MeanFlow-based model tailored for fast and faithful text-to-audio generation. It can synthesize realistic sound in a single step, achieving a real-time factor (RTF) of 0.013 on a single NVIDIA 3090 GPU. Moreover, it also demonstrates strong performance in multi-step generation.


## Environmental Setup

**1. Create a new conda environment:**

```bash
conda create -n meanaudio python=3.11 -y
conda activate meanaudio
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 --upgrade
```
<!-- ```
conda install -c conda-forge 'ffmpeg<7
```
(Optional, if you use miniforge and don't already have the appropriate ffmpeg) -->

**2. Install with pip:**

```bash
git clone https://github.com/xiquan-li/MeanAudio.git

cd MeanAudio
pip install -e .
```

<!-- (If you encounter the File "setup.py" not found error, upgrade your pip with pip install --upgrade pip) -->


## Quick Start

<!-- **1. Download pre-trained models:** -->
To generate audio with our pre-trained model, simply run: 
```bash 
python demo.py --prompt 'your prompt' --num_steps 1
```
This will automatically download the pre-trained checkpoints from huggingface, and generate audio according to your prompt. 
The output audio will be at `MeanAudio/output/`, and the checkpoints will be at `MeanAudio/weights/`. 

Have fun with MeanAudio 😊 !!!