Amphion

Enrichment pending

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio,

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Python MITCreated Nov 15, 2023

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Maintenance: Slowing (107d since push); As of today · Source: github_public_v1
Provenance: Not a fork · Organization account; As of today · Source: github_public_v1
Security (OSV): No lockfile; As of today · Source: none

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Overview

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Jul 11, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Jul 11, 2026
Languages: python
Source: github.language · Jul 11, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

# Install Python Environment

Source link

README

📀 Installation

Amphion can be installed through either Setup Installer or Docker Image.

Install Python Environment

conda create --name amphion python=3.9.15 conda activate amphion

Install Python Packages Dependencies

sh env.sh


---

### Docker Image

1. Install [Docker](https://docs.docker.com/get-docker/), [NVIDIA Driver](https://www.nvidia.com/download/index.aspx), [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html), and [CUDA](https://developer.nvidia.com/cuda-downloads).

2. Run the following commands:
```bash
git clone https://github.com/open-mmlab/Amphion.git
cd Amphion

docker pull realamphion/amphion
docker run --runtime=nvidia --gpus all -it -v .:/app realamphion/amphion

Mount dataset by argument -v is necessary when using Docker. Please refer to Mount dataset in Docker container and Docker Docs for more details.