heartmula

Generate full songs from lyrics and descriptive tags using HeartMuLa models.

Updated May 21, 2026
One-click install
npx skills add https://github.com/samlaggz/hermes-agent-sam --skill heartmula-samlaggz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heartmula
Source: https://github.com/samlaggz/hermes-agent-sam/tree/main/backup/skills/media/heartmula
Command: npx skills add https://github.com/samlaggz/hermes-agent-sam --skill heartmula-samlaggz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate music from lyrics and descriptive tags using an open-source, offline toolchain.

Core Features & Use Cases

  • Open-source music foundation models (HeartMuLa, HeartCodec) that produce full songs from lyrics and tags on local hardware.
  • Multilingual lyric support and offline generation without cloud dependencies.
  • Use case: independent musicians can generate drafts for compositions directly on their workstation.

Quick Start

Provide lyrics and tags to generate a full song locally using HeartMuLa.

Frequently Asked Questions about heartmula

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

FAQPage Schema
How do I generate full songs from lyrics and tags offline?

Generate full songs from lyrics and tags offline by providing text inputs to a local Python-based pipeline utilizing HeartMuLa models and HeartCodec to synthesize audio without cloud dependencies.

Can I generate music locally using multilingual lyrics on a CPU?

Generate music locally using multilingual lyrics on CPU hardware through hardware-aware deployment that manages resources, with optional lazy-loading to control VRAM usage on supported GPU setups.

What is the best way to generate music drafts directly on my workstation?

The best way to generate music drafts on a workstation is using an open-source, offline music generation stack that processes descriptive tags and lyrics through foundation models to produce full songs.

Do I need specific models to generate songs from text locally?

Generating songs from text locally requires HeartMuLa models and HeartCodec within a Python-based pipeline to process lyrics and tags into full audio tracks on local hardware.

How does offline music generation handle VRAM limits?

Offline music generation handles VRAM limits using optional lazy-loading within the Python pipeline, allowing local workstation workflows to manage memory usage efficiently across CPU or GPU setups.