Generate full music tracks from lyrics and tags using HeartMuLa models.
npx skills add https://github.com/MarbleSodas/Mavis --skill heartmula-marblesodas
Please help me install this Agent Skill. Skill: heartmula Source: https://github.com/MarbleSodas/Mavis/tree/main/skills/media/heartmula Command: npx skills add https://github.com/MarbleSodas/Mavis --skill heartmula-marblesodas
HeartMuLa turns your written lyrics plus musical tags into a complete, music-ready song—without requiring you to compose music manually.
Ask the agent to generate an MP3 song from your lyrics file and tags file using the HeartMuLa 3B model with lazy loading enabled, saving the result to a specified output path.
High-intent search queries and answers about installing and using this skill.
You can generate songs locally from lyrics by running HeartMuLa with a Python 3.10 environment and configuring GPU or CPU device settings for stable offline music synthesis.
Yes, full music track generation is conditioned on user-provided bracketed lyrics and comma-separated tags, enabling Suno-like creative workflows for offline local-first audio synthesis.
Yes, producing MP3 output requires a HeartMuLa/HeartCodec checkpoint setup, utilizing audio codec reconstruction to convert your lyrics and tags into a complete music-ready song.
Local music generation supports multilingual song synthesis, allowing you to experiment with generating full music tracks using lyrics written in multiple languages.
Local-first audio generation requires a Python 3.10 environment and specific HeartCodec checkpoints, with optional multi-GPU splitting needed for stable execution when handling large model inference.
For stable local music generation execution, configure multi-GPU splitting during device setup to distribute the HeartMuLa 3B model inference workload across available hardware resources.
KarlinskySGenerate full song audio from lyrics and tags using HeartMuLa and HeartCodec.
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lengoctuong2005Generate full songs from lyrics and tags using HeartMuLa's Python library.
