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Master AI Music Generation Locally | ACE-Step v1.5 Full Tutorial Generate commercial-grade music, covers, and stems directly on your own hardware! In this video, I walk you through the full capabilities of ACE-Step v1.5, an open-source music foundation model designed to run locally with impressive speed and control. I break down the unique "Two-Brain" architecture and test all 6 professional modules available in the playground from creating full songs from text to extracting stems and remixing existing tracks. What you’ll learn in this tutorial: ✅ How to navigate in the ACE-Step v1.5 locally using the Gradio Playground. ✅ A deep dive into the 6 generation modules: Text-to-Music, Cover, Repainting, Extraction, Layering and Completion. ✅ How to use the "Two-Brain" architecture (Language Model Planner + Diffusion Transformer) for structured song blueprints. ✅ Essential parameter settings: Managing Steps, CFG Scale, and fixing the "Think" parameter bug to ensure audio output. ✅ How to use "Repainting" to change specific lyrics while keeping the song structure. ✅ Best practices for "Cover Generation," including tuning the audio cover strength (0.2) to keep tracks in key. ✅ How to extract high-quality vocals and drums from existing audio files. Tools & Models Used: ACE-Step v1.5 (Base & Turbo): The core open-source model for music generation. Gradio UI: The local interface for running the model. Gemini 3: Used for generating lyric structures. Cymatics Sample guitar and drum sample: Used for testing the extraction and layering features. PC Specs: Gpu: Nvidia RTX 5060 Ti 16 GB : https://amzn.to/4rU7xRy Ram: 64gb 4x16gb Kingston Fury : https://amzn.to/473HoaG Model Used: acestep-v1.5-base / acestep-v1.5-turbo Pro Tip: If you aren't getting any audio output after generation, make sure to toggle OFF the "Think" / "Parallel Thinking" parameter in the advanced settings. Also, when using Cover Generation, keep the "Audio Cover Strength" low (around 0.2) to prevent the AI from drifting out of key. If you found this workflow helpful, don’t forget to Like, Subscribe, and Hit the Notification Bell for more deep dives into open-source AI tools! ig : / kintugk x : https://x.com/gk_kintu Contact: kintutech@gmail.com Timestamps: 0:00 - Intro & Result Showcase 0:15 - ACE-Step Docs / Overview (project page + table of contents) 0:50 - ACE-Step Architecture (Hybrid “Two-Brain” setup slide) 1:30 - Modules Overview (7 Professional Modules slide appears) 1:30 - Text-to-Music (introduced on the modules overview slide) 2:00 - Cover Generation (circled/highlighted on the modules slide) 2:50 - Repainting (circled/highlighted on the modules slide) 3:50 - Track Extraction (circled/highlighted on the modules slide) 4:10 - Layering / “Lego” Mode (circled/highlighted on the modules slide) 5:00 - Completion (circled/highlighted on the modules slide) 30:50 - Track Extraction (hands-on in the Playground — “Extract the VOCALS…” / stems) 34:10 - Repainting (hands-on in the Playground — “Repainting Start / End”) 35:50 - Completion (hands-on in the Playground — “Complete the input track #AIMusic #ACEStep #OpenSourceAI #MusicProduction #GenerativeAI #LocalLLM #AudioAI #StableAudio #MusicTutorial #HuggingFace