MIDI-LLM: Adapting Large Language Models for Text-to-MIDI Music Generation

Wu, Shih-Lun, Kim, Yoon, Huang, Cheng-Zhi Anna

arXiv.org Artificial Intelligence 

We present MIDI-LLM, an LLM for generating multitrack MIDI music from free-form text prompts. Our approach expands a text LLM's vocabulary to include MIDI tokens, and uses a two-stage training recipe to endow text-to-MIDI abilities. By preserving the original LLM's parameter structure, we can directly leverage the vLLM library for accelerated inference. Experiments show that MIDI-LLM achieves higher quality, better text control, and faster inference compared to the recent Text2midi model. Live demo at https://midi-llm-demo.vercel.app.

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