heartmula

Generate songs from lyrics and tags using HeartMuLa models.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/kotakbiasa/hermes-agent --skill heartmula-kotakbiasa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heartmula
Source: https://github.com/kotakbiasa/hermes-agent/tree/main/skills/media/heartmula
Command: npx skills add https://github.com/kotakbiasa/hermes-agent --skill heartmula-kotakbiasa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

HeartMuLa provides an open-source suite to generate songs from text inputs (lyrics and tags) without relying on proprietary services, enabling offline and customizable music creation for researchers, hobbyists, and creators.

Core Features & Use Cases

  • HeartMuLaGen, HeartCodec, HeartTranscriptor, and HeartCLAP form a complete music generation stack that produces songs from lyrics and tags.
  • Local/offline generation with guidance for 3B/7B models, multi-GPU setups, and VRAM budgets for reliable production-ready outputs.
  • Use cases include composing mood-specific tracks, multilingual lyric support, offline demos, and research into AI-driven music pipelines.

Quick Start

Run HeartMuLa with your lyrics and tags to generate a song using a suitable model path and an output path.

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 locally without proprietary services?

Generate music from lyrics locally by using the open-source HeartMuLa suite, which processes text inputs and tags offline. It enables customizable music creation for researchers and creators without relying on external paid APIs.

What hardware do I need to run open-source AI music generation models?

Open-source AI music generation requires a CUDA-enabled GPU with sufficient VRAM to handle production workloads. The setup supports multi-GPU configurations and provides guidance for running 3B and 7B parameter models.

Can I generate songs with multilingual lyrics using local models?

Multilingual lyric support is available for generating songs from text inputs. The open-source music generation stack processes diverse languages to create mood-specific tracks and offline demos.

How do I set up a Python environment for offline lyrics-to-music generation?

Offline lyrics-to-music generation requires Python 3.10 to establish the local environment. You must complete dependency patches, install the framework, and download model weights as outlined in the setup guide.

What is the difference between HeartMuLa and cloud-based AI music generators?

HeartMuLa provides an open-source suite for offline music generation, offering full control over customizable workflows. Unlike cloud-based AI music generators, it allows local production and research without data leaving your machine.

Why does my local music generation pipeline require multiple components?

A complete local music generation pipeline requires multiple components like HeartMuLaGen, HeartCodec, HeartTranscriptor, and HeartCLAP. These modules work together to form a full stack that processes lyrics and tags into final songs.