heartmula

Generate songs from lyrics and tags using open-source music models.

Updated May 11, 2026
One-click install
npx skills add https://github.com/richardnguyen0715/keep-it-real --skill heartmula-richardnguyen0715
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heartmula
Source: https://github.com/richardnguyen0715/keep-it-real/tree/main/refer-projects/hermes-agent/skills/media/heartmula
Command: npx skills add https://github.com/richardnguyen0715/keep-it-real --skill heartmula-richardnguyen0715

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires torch, torchtune, datasets, transformers, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill enables users to create music from lyrics and tags, providing a tool for open-source music generation.

Core Features & Use Cases

  • Lyric-Based Music Generation: Users can generate full songs based on provided lyrics and tags.
  • Multilingual Support: Supports the generation of music in multiple languages.
  • Open-Source Models: Utilizes open-source models comparable to Suno for music generation.
  • Use Case: For users who want to create personalized music tracks based on specific themes or moods.

Quick Start

Generate a song using the 'heartmula' skill with the lyrics "I want to believe" and the tag "hopeful".

Frequently Asked Questions about heartmula

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate music from lyrics and tags?

To generate music from lyrics and tags, provide your specific text and mood descriptors to an open-source music foundation model. This allows you to create custom songs with specific themes by analyzing your lyrics and producing a matching melody.

Can I create AI music in multiple languages?

Yes, you can create AI music in multiple languages. This music generation process supports multilingual input, allowing you to generate full songs from lyrics written in various languages using open-source models.

Do I need PyTorch and Transformers to run an open-source music generation model?

Yes, you need PyTorch, TorchTune, Datasets, and Transformers to run this open-source music generation model. These dependencies are required to process lyric analysis and execute the underlying foundation models for song creation.

What is the best way to create custom songs with specific themes?

The best way to create custom songs with specific themes is using open-source music foundation models. By inputting targeted lyrics and descriptive tags, you can generate personalized music tracks that match your desired mood and thematic content.

How does an open-source AI music generator compare to Suno?

Open-source AI music generators provide comparable functionality to Suno for song creation. They utilize open-source foundation models to generate music from lyrics and tags, offering a customizable alternative for users wanting to create personalized tracks.