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Timestamps: 00:00 - Intro 00:52 - First Look 02:41 - Impressive Speed 03:13 - Windows & Mac Support 03:30 - Local Install Steps 06:45 - First Test 07:28 - Web Interface Layout 09:20 - Second Test 09:51 - Quick Thought 10:16 - Python Script As Music 11:14 - Trying That Again 12:12 - Hip Hop Test 13:00 - Instrumental Test 13:37 - Refusal Test 15:24 - Transformer Song (ML/AI) 17:40 - Closing Thoughts In this video, we take a hands-on look at the newly released ACE-Step music generation model and repository. Touted as the most impressive local AI music model to date, ACE-Step gets remarkably close to the quality of closed-source services like Suno and Udio—but runs entirely on your own hardware. We begin with a quick overview of the repository and features, then walk through the local installation process, which supports Windows, Mac, and Linux. Once installed, we run a series of generation tests through the web interface, including standard songs, instrumental generation, and even an attempt to have the model sing a Python script. We wrap up with some thoughts on ACE-Step’s potential to redefine local AI music generation, and how it may impact the broader space of open-source audio tools. GitHub Repo: https://github.com/ace-step/ACE-Step