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This Open Source AI Music Is INSANE (And Runs Locally)

January 23, 2026
in Trade Tube
Reading Time: 2 mins read
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In this video, I explore an incredible open-source AI music generation model called HeartMula, which can generate high-quality, multimodal music entirely locally on a consumer-grade computer. I share my excitement about generating a three-minute song on my computer using this model and discuss the hardware specifications required to run it efficiently. I also compare HeartMula’s performance to other top models like Suno V5, highlighting its strengths and unique features. Additionally, I provide a step-by-step tutorial on how to install and run HeartMula locally with the help of Google’s Anti-Gravity AI software, making it accessible even for those without advanced technical skills. Plus, I showcase different generated music samples with and without lyrics to demonstrate the model’s capabilities. Huge thanks to Minimax for sponsoring this video. Don’t forget to drop a comment below with your project ideas and share your creations on my Discord server!

Huge thanks to Minimax for Sponsoring today’s video! Check out M2.1:

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▼ Link(s) From Today’s Video:
Project Page:

HeartMula Github:

Antigravity:
► MattVidPro Discord:

► Follow Me on Twitter:

► Buy me a Coffee!
————————————————-

▼ Extra Links of Interest:

General AI Playlist:

AI I use to edit videos:

Instagram: instagram.com/mattvidpro

Tiktok: tiktok.com/@mattvidpro
Gaming & Extras Channel:

Let’s work together!
– For brand & sponsorship inquiries:
– For all other business inquiries: [email protected]

Thanks for watching Matt Video Productions! I make all sorts of videos here on Youtube! Technology, Tutorials, and Reviews! Enjoy Your stay here, and subscribe!

All Suggestions, Thoughts And Comments Are Greatly Appreciated… Because I Actually Read Them.

00:00 Mind-Blowing AI Music Generation
02:27 Introducing HeartMula
03:38 Sponsor Message: Minimax
05:19 Comparing AI Music Models
10:33 Setting Up Hart HeartMula
15:45 Generating AI Music with HeartMula
21:23 Final Thoughts and Future Prospects
22:27 Conclusion and Community Engagement

source

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