Midi-LLM: Adapting Large Language Models for Text-to-MIDI Music Generation
Shih-Lun Wu · Yoon Kim · Anna Huang
Abstract
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 LLM’s weight signature, 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 and static demos at https://midi-llm-demo.vercel.app.
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