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

Shih-Lun Wu, Yoon Kim, Cheng-Zhi Anna Huang
11/6/2025
cs.SDcs.CLcs.MM

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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 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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Cite this paper

@article{wu2025midillm,
  title  = {MIDI-LLM: Adapting Large Language Models for Text-to-MIDI Music Generation},
  author = {Shih-Lun Wu and Yoon Kim and Cheng-Zhi Anna Huang},
  year   = {2025},
  eprint = {2511.03942},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.03942v1}
}

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