ACE-Step MusicThe Future of AI Music Generation
Welcome to the world of ACE-Step music! We are excited to introduce ACE-Step, a revolutionary open-source foundation model designed specifically for music generation.
Our vision is to create the core infrastructure – a foundation model – for music AI. Think of it as aiming for the "Stable Diffusion moment" for music, providing a fast, flexible architecture upon which countless music creation tools can be built.
The Problem with Today's AI Music
Current methods for generating music with AI face frustrating compromises. LLM-based models are slow and lack structure. Diffusion models struggle with coherence. Many models offer limited control over length.
Frustrating Compromises
- Models based on large language models (LLMs) can align lyrics well but are very slow to generate music and often lack structural flow over longer pieces.
- Diffusion models are faster but struggle with keeping the music coherent and structured over extended durations.
- Many existing models either don't let you control how long the music is or are stuck at generating only fixed lengths, which isn't great for actual music making.
Existing techniques often force creators to choose between speed, musical quality, or control.
How ACE-Step Music Solves These Issues
ACE-Step music is built differently. It intelligently combines several powerful technologies:
- Diffusion-based generation: For efficient synthesis.
- Sana's Deep Compression AutoEncoder (DCAE): To process audio effectively.
- A lightweight linear transformer: For structural understanding.
During training, ACE-Step music uses advanced techniques like MERT and m-hubert for semantic alignment (REPA), allowing it to learn and improve much faster.
Key Benefits of ACE-Step Music
ACE-Step music delivers state-of-the-art performance through its unique design, offering speed, quality, and flexibility.
Blazing Fast Generation
Generate up to 4 minutes of music in just 20 seconds on an A100 GPU. That's 15 times faster than older LLM-based models! Get your ace step music faster.
Superior Musical Quality
ACE-Step music achieves better musical coherence and ensures lyrics align accurately with melody, harmony, and rhythm.
Flexible Control
Unlike models with fixed output lengths, ACE-Step music supports flexible length generation, perfect for practical composition. It also preserves fine acoustic details, enabling advanced controls.
Advanced Capabilities
Supports many advanced features without needing extra training, like generating variations (retake), regenerating specific parts (repaint), and modifying lyrics (edit).
Foundation for Innovation
Its design makes it easy to train specialized sub-tasks on top, paving the way for new tools integrated into creative workflows. The core ace step music architecture is highly versatile.
Building the Foundation
Our goal with ACE-Step music is to provide a robust, versatile base for the entire music AI ecosystem. This architecture allows for seamless development of applications.
Training-Free Applications
- Retake: Generate song variations.
- Repaint: Regenerate sections of a song.
- Edit: Modify lyrics within a generated piece.
Fine-Tuned (using LoRA)
- Lyric2Vocal: Generate vocals from lyrics.
- Text2Sample: Create musical samples and loops from text.
Coming Soon Applications
RapMachine, StemGen, Singing2Accompaniment.
Experience ACE-Step Live
Try ACE-Step's powerful music generation capabilities firsthand. (Demo link coming soon!)
How to Use (Future)
- 1. Enter your prompt or lyrics
- 2. Select desired length and style
- 3. Click generate to create your music
- 4. Preview, refine, and download
Features Available (Future)
- • Flexible length generation
- • Multiple genre/style support (planned)
- • Real-time preview & editing
- • High-quality export options
Hear ACE-Step Music in Action
Listen to examples of music generated by ACE-Step. (Demos will be added as they become available)
ACE-Step Music Demos Coming Soon!
We are working hard to prepare showcase examples of ACE-Step's capabilities. Please check back later.
Acknowledging Limitations
Like any cutting-edge technology, ACE-Step music is still evolving. We are committed to transparency and continuous improvement.
- Output can be inconsistent depending on settings (like a "gacha-style" result).
- Performance on specific styles (like Chinese rap) needs improvement, and overall style adherence has a ceiling.
- Sometimes transitions during repainting or extending music can sound unnatural.
- Vocal synthesis quality can be coarse and lacks nuance.
- We are working towards finer-grained control over musical parameters.
- Improving support and accuracy for lyrics in multiple languages.
The Team Behind ACE-Step Music
Meet the core developers and contributors driving the ACE-Step music foundation model.
Core Developers
Junmin Gong, Sean Zhao, Sen Wang, Shengyuan Xu, Joe Guo
Key Contributions
Sana's Deep Compression AutoEncoder technology. Webpage vibe coded by Roocode.
Tools & Resources
Lyrics from AI music community/internet. MERT and m-hubert for training.
News & Collaborations
Stay updated on ACE-Step Music's progress and collaborations. (Links and partners to be updated)
Project Blog (Coming Soon)
Follow our development journey and latest announcements.
Read More (Link inactive)
Research Paper (Planned)
Dive deep into the technical details of ACE-Step.
Read More (Link inactive)
Community Forum (Planned)
Join discussions, share feedback, and collaborate.
Join (Link inactive)