Generate full songs from lyrics and style tags with HeartMuLa.
npx skills add https://github.com/hungthinh04/Hermes_AI_Agent --skill heartmula-hungthinh04
Please help me install this Agent Skill. Skill: heartmula Source: https://github.com/hungthinh04/Hermes_AI_Agent/tree/main/skills/media/heartmula Command: npx skills add https://github.com/hungthinh04/Hermes_AI_Agent --skill heartmula-hungthinh04
HeartMuLa removes the need to manually produce music by turning lyrical ideas and descriptive tags into complete, listenable songs with an open-source workflow.
Ask the skill to generate a song from your lyrics and style tags, then save the finished track as an MP3.
High-intent search queries and answers about installing and using this skill.
To generate full songs from lyrics, provide structured text and comma-separated style tags. The system processes your inputs locally to create listenable tracks using lyrics-conditioned generation.
Yes, you can run music generation offline. This workflow supports local inference on either CPU or GPU-accelerated CUDA devices, allowing you to create music completely offline.
Yes, model checkpoints are required for offline audio synthesis. You must configure these checkpoints and select your CUDA or CPU device to ensure the generation and audio reconstruction tasks execute properly.
To fix dependency conflicts and transformer cache loading issues, apply the provided compatibility fixes. These fixes resolve setup errors during local model initialization and ensure smooth offline inference.
The best way to transcribe and reconstruct audio is using the open-source HeartTranscriptor and HeartCodec stacks. They handle transcription tasks and audio reconstruction to support your full song creation workflow.
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