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.