ACE-Step
Open-Source AI Music Generation Model
ACE-Step is a cutting-edge, open-source foundation model for music generation that overcomes limitations in existing AI music tools by combining innovative technologies for faster, more controllable music creation.
What is ACE-Step?
ACE-Step is an open-source foundation model designed for music generation, developed by ACE Studio and StepFun. It addresses the trade-offs between generation speed, musical coherence, and controllability that limit existing music generation models.
The model combines diffusion-based generation with Sana's Deep Compression AutoEncoder (DCAE) and a lightweight linear transformer, enhanced by leveraging MERT and m-hubert for semantic representation alignment (REPA) during training.
With the ability to generate up to 4 minutes of music in just 20 seconds on high-end GPUs, ACE-Step is 15 times faster than comparable models while maintaining superior musical coherence across melody, harmony, and rhythm.
Key Features of ACE-Step Visualization
Experience the advanced technology behind ACE-Step's music generation capabilities
Neural Networks
ACE-Step uses advanced neural networks to understand musical patterns, harmonies, and structures, enabling the generation of coherent and high-quality compositions.
DCAE Technology
Deep Compression AutoEncoder (DCAE) technology allows ACE-Step to compress and understand music at a fundamental level, dramatically increasing generation speed.
Semantic Alignment
Using MERT and m-hubert for semantic representation alignment (REPA), ACE-Step creates music that accurately follows text prompts and style directions.
Key Features of ACE-Step
Unprecedented Speed
Generate up to 4 minutes of music in just 20 seconds on NVIDIA A100 GPUs, with excellent performance even on consumer hardware like RTX 4090 and 3090.
Superior Coherence
Maintain musical coherence across melody, harmony, and rhythm, surpassing traditional diffusion and LLM models in quality and consistency.
Advanced Control
Enjoy fine-grained control over music generation with capabilities like voice cloning, lyric editing, remixing, and track generation.
Open-Source & Accessible
Built on open-source principles and optimized to run on consumer hardware with as little as 8GB VRAM, making AI music creation accessible to all.
Versatile Applications
Perfect for musicians, producers, content creators, and AI researchers looking to integrate AI into creative workflows or develop specialized tools.
Active Development
Benefit from ongoing improvements and a growing community of contributors enhancing the model's capabilities and applications.
Music Examples
Experience the versatility and quality of ACE-Step through these impressive music generation examples.
Pop Song Generation
A complete pop song with vocals and instrumentation generated from a simple text prompt, demonstrating coherent structure and professional sound quality.
Instrumental Jazz
A smooth jazz instrumental piece showcasing ACE-Step's ability to understand musical theory and genre-specific patterns with convincing improvisation elements.
Voice Cloning Demo
An example of ACE-Step's voice cloning capabilities, preserving the original vocal characteristics while singing new content determined by the user.
Orchestral Arrangement
A lush orchestral arrangement featuring strings, brass, and woodwinds that demonstrates ACE-Step's ability to create complex symphonic textures.
Electronic Dance Music
An energetic electronic dance track with thumping beats, synthesized melodies, and dynamic progression showcasing ACE-Step's versatility across genres.
Frequently Asked Questions
Is ACE-Step free to use?
Yes, ACE-Step is an open-source model that's free to use. You can download it from GitHub or Hugging Face and run it locally, or try the demo version online.
What hardware do I need to run ACE-Step?
ACE-Step can run on consumer GPUs with as little as 8GB VRAM. For optimal performance, NVIDIA RTX 3090, 4090, or A100 GPUs are recommended, but it also works on MacBook M2 Max with slower rendering times.
Can ACE-Step generate music with lyrics?
Yes, ACE-Step can generate vocals with lyrics and supports lyric editing in existing songs, making it versatile for vocal music production.
How does ACE-Step compare to other AI music generators?
ACE-Step offers significantly faster generation (up to 15x) compared to LLM-based models, while maintaining superior musical coherence and providing advanced control mechanisms.
What file formats are supported for music outputs?
ACE-Step typically outputs audio in standard formats like WAV or MP3, making it compatible with most digital audio workstations and media players.
Is there a limit to how long the generated music can be?
ACE-Step can generate up to 4 minutes of music in one go. For longer compositions, multiple generations can be combined or extended using the model's capabilities.
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Get Started with ACE-Step
Join the music AI revolution with ACE-Step's powerful generation capabilities. Whether you're a musician, producer, or AI enthusiast, ACE-Step offers a new frontier in creative music technology.