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heartmula

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

Updated Jun 9, 2026

Search Tags:#music generation #AI audio #song creation #lyric based #music producer

One-click install

npx skills add https://github.com/zhouboyu-xreal/Hermes-Memory --skill heartmula-zhouboyu-xreal

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: heartmula
Source: https://github.com/zhouboyu-xreal/Hermes-Memory/tree/main/skills/media/heartmula
Command: npx skills add https://github.com/zhouboyu-xreal/Hermes-Memory --skill heartmula-zhouboyu-xreal

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

HeartMuLa solves the problem of creating custom music based on specific lyrics and tags, allowing users to generate unique songs directly from text descriptions.

Core Features & Use Cases

Lyric-Based Music Generation: Create songs that match the specified lyrics and tags.
Open-Source Models: Uses open-source music foundation models for high-quality audio generation.
Multilingual Support: Generate music in multiple languages.
Use Case: A music producer looking to create a unique track for a movie scene can input lyrics and relevant tags to generate a fitting piece of music.

Quick Start

Generate a music track with the lyrics "I am walking on a road to my dream" and tags "upbeat, inspirational, piano" 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 music from lyrics using AI?▼

Generate music from lyrics by inputting your text and descriptive tags into an AI audio synthesis model. HeartMuLa processes these inputs to create custom songs that match your specified lyrical content and stylistic parameters.

Can I use open-source models for AI audio generation in multiple languages?▼

Yes, open-source models support multilingual AI audio generation. HeartMuLa leverages open-source music foundation models to process lyrics and generate high-quality audio tracks across diverse languages.

What do I need to set up before generating songs with PyTorch and transformers?▼

You need PyTorch, torchtune, datasets, and transformers installed in your environment. These dependencies provide the foundational machine learning frameworks required to run the open-source music generation models.

How does tag-based lyric-to-music generation work for music producers?▼

Tag-based generation works by pairing lyrical text with stylistic descriptors like "upbeat" or "piano." The AI audio synthesis model interprets these tags to shape the melody and arrangement, producing unique tracks tailored for music producers.

Are there limitations to creating custom songs with open-source AI audio models?▼

Open-source AI audio models require significant computational resources and rely on PyTorch environments. Generation quality depends on the specific open-source foundation model used and how well the input lyrics and tags are structured.

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