DiffRhythm
by Northwestern Polytechnical University, The Chinese University of Hong Kong (Shenzhen)DiffRhythm is an end-to-end music generation tool that quickly creates complete songs with vocals and accompaniment using lyrics and style prompts.
What is DiffRhythm?
DiffRhythm is an end-to-end music generation tool developed by Northwestern Polytechnical University and The Chinese University of Hong Kong (Shenzhen). It uses Latent Diffusion technology to quickly generate complete songs with vocals and accompaniment. Users only need to provide lyrics and style prompts, and DiffRhythm can produce high-quality music up to 4 minutes and 45 seconds in just 10 seconds. It supports multilingual input and ensures high musicality and lyric comprehensibility.
Main Features of DiffRhythm
- Quick Generation of Complete Music: Generates complete songs with vocals and accompaniment in about 10 seconds.
- Lyric-Driven Music Creation: Automatically generates melodies and accompaniment based on provided lyrics and style prompts.
- High-Quality Music Output: Produces music with excellent melody fluency, lyric comprehensibility, and overall musicality.
- Flexible Style Customization: Allows users to adjust the style of the generated music with simple style prompts.
- Open Source and Extensibility: Provides complete training code and pre-trained models for customization and extension.
- Innovative Lyric Alignment Technology: Ensures vocal parts highly match the melody, improving lyric comprehensibility.
- Text Condition and Multimodal Understanding: Supports text condition input and combines multimodal information for accurate style requirements.
Technical Principles of DiffRhythm
- Latent Diffusion Model: Uses a two-stage process of forward noise addition and reverse denoising to generate high-quality audio.
- Autoencoder Structure: Employs a Variational Autoencoder (VAE) to encode and decode audio data.
- Fast Generation and Non-Autoregressive Structure: Adopts a non-autoregressive structure for faster generation.
- Diffusion Transformer: Achieves efficient music generation through cross-attention layers and gated multi-layer perceptrons.
Project Address of DiffRhythm
- Project Website: https://aslp-lab.github.io/DiffRhythm.github.io/
- Github Repository: https://github.com/ASLP-lab/DiffRhythm
- HuggingFace Model Library: https://huggingface.co/ASLP-lab/DiffRhythm-base
- arXiv Technical Paper: https://arxiv.org/pdf/2503.01183
Application Scenarios of DiffRhythm
- Music Creation Assistance: Provides inspiration and preliminary music frameworks for creators.
- Film and Video Scoring: Quickly generates background music for films, video games, and short videos.
- Education and Research: Generates music examples for teaching and research purposes.
- Independent Musicians and Personal Creation: Enables independent musicians to create high-quality music without complex equipment.
Features & Capabilities
What You Can Do
Music Generation
Lyric-Driven Song Creation
Multilingual Music Production
Style Customization
Categories
Music Generation
AI
Latent Diffusion
Creative AI
Multilingual
Song Creation
Lyric-Driven
Open Source
High-Quality Audio
Fast Generation
Example Uses
- Music Creation Assistance
- Film and Video Scoring
- Education and Research
- Independent Musicians and Personal Creation
Getting Started
Pricing
free
Screenshots & Images
Primary Screenshot
Additional Images
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