heartmula

Generate music and songs from lyrics and tags using HeartMuLa models.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/hochoa13/Asistente-Harlest --skill heartmula-hochoa13
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heartmula
Source: https://github.com/hochoa13/Asistente-Harlest/tree/main/skills/media/heartmula
Command: npx skills add https://github.com/hochoa13/Asistente-Harlest --skill heartmula-hochoa13

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables users to generate original music and songs directly from text-based lyrics and descriptive tags, offering an open-source alternative to proprietary music generation models.

Core Features & Use Cases

  • AI Music Generation: Creates full songs based on provided lyrics and genre/mood tags.
  • Open-Source Suno Alternative: Provides local/offline music generation capabilities.
  • Multilingual Support: Capable of processing lyrics in various languages.
  • Use Case: A user wants to create a unique background track for a video. They provide lyrics about a "peaceful forest" and tags like "ambient, nature, calm, instrumental," and the Skill generates a suitable audio file.

Quick Start

Use the heartmula skill to generate a song using the lyrics in './assets/lyrics.txt' and tags in './assets/tags.txt', saving the output to './assets/output.mp3'.

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 locally?

To generate music from lyrics and tags locally, you use the HeartMuLa model family to process text inputs and output an audio file. You need to configure a specific Python environment and hardware setup for local execution.

Can I use this as an open-source alternative to Suno for AI music generation?

Yes, this serves as an open-source alternative to Suno for AI music generation, providing local and offline capabilities. It allows you to create full songs from provided lyrics and descriptive genre or mood tags without relying on proprietary services.

Does this AI music generation model support multilingual lyrics?

Yes, the AI music generation model supports multilingual lyrics, capable of processing text inputs in various languages. This allows you to generate original songs with non-English lyrics directly through the local execution environment.

What do I need to set up before generating songs from text?

Before generating songs from text, you need specific hardware configurations and a Python environment setup for local execution. You must also prepare your text inputs, such as storing lyrics in a text file and providing descriptive mood tags.

How does generating audio from descriptive tags and lyrics work?

Generating audio from descriptive tags and lyrics works by feeding text-based inputs into the HeartMuLa model family to synthesize an original audio track. The model interprets the mood tags and lyrics to create a matching musical composition saved as an output file.