Latest   Machine Learning Generate Music with AI Locally Using ACE-Step: One-Click Text-to-Music Model 0 like May 10, 2025 Share this post Author(s): Md Monsur ali Originally published on Towards AI. Create full-length AI-generated songs from text prompts, tags, and lyrics using the ACE-Step v1–3.5B open-source model — no cloud, no API, just your GPU. 👨🏾‍💻 GitHub ⭐️ | 👔 LinkedIn | 📝 Medium | ☕️ Ko-fi Photo by Author Imagine describing a song with words like “a mellow jazz tune with saxophone and piano,” clicking a button, and having a complete, studio-quality track generated on your computer without sending a single byte to the cloud. That’s the promise of ACE-Step v1–3.5B, an open-source music generation model that ACE Studio and StepFun developed. ACE-Step brings powerful text-to-music generation completely offline in an era of growing concerns over data privacy and dependency on cloud services, making it one of the most creator-friendly tools in the AI music space. ACE-Step v1–3.5B is a deep learning model designed to generate full-length music tracks from natural language prompts. Built on a diffusion-based framework, the model combines a Deep Compression AutoEncoder (DCAE) with a lightweight linear transformer. This combination allows it to produce rich, multi-instrument compositions that are musically coherent and stylistically diverse. Where other models may struggle to maintain structure across several minutes of audio, ACE-Step is optimized for long-form music generation. It doesn’t just create loops or short motifs — it can generate 4-minute tracks with a sense of progression, genre fidelity, and emotional flow. Most AI music generators either create random compositions or… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI Towards AI - Medium Share this post