Amphion
A toolkit for Audio, Music, and Speech Generation to support reproducible research
GraphCanon updated 3w · GitHub synced 3w
Decision brief
Amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use.
Good fit when
- When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images.
- If reproducible research is essential for your project; Amphion streamlines this through its well-defined installation methods.
Avoid when
- If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (125d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install AmphionSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Amphion is a Python-based toolkit designed for junior researchers and engineers working in audio, music, and speech generation.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 29, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 29, 2026
- Languages
- python
Source: github.language · Jul 29, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 29, 2026)
# Install Python EnvironmentSource link
Tags
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.
©️ License
Amphion is under the MIT License. It is free for both research and commercial use cases.
For agents
This page has a .md twin and JSON over the API.