TTM-HumanPref: G-Clef FluxAudio-S checkpoint (ICME 2026 ATTM Grand Challenge)

Final submitted checkpoint of Team G-Clef for the Efficiency track of the ICME 2026 Academic Text-to-Music Grand Challenge.

A ~120M-parameter FluxAudio-S rectified-flow model, trained from scratch on the challenge's CC-licensed instrumental MTG-Jamendo subset, then refined with human-preference reward conditioning, expert iteration, and a short CRPO preference fine-tune.

• Paper: Improving Text-to-Music Generation with Human Preference Rewards
• Code: github.com/yonghyunk1m/TTM-HumanPref
• Demo: TTM-HumanPref Space

Files

File	Size	Description
gclef_crpoA_fluxaudio_s.pt	483 MB	Final CRPO-A checkpoint, used for both submissions

SHA-256: 0cfb8295fbd695a99c7a2599363a465fdc28a94f39c8d43faf7487461e5e15f2

This file is identical to the asset of the GitHub release v1.0-icme2026.

Usage

Inference runs through the code repository, on top of the official challenge baseline. See the GitHub README for setup.

python run.py download-weights          # fetches this checkpoint and verifies its SHA-256
python run.py reproduce --seed 42       # Submission 1
python run.py reproduce --seed 55       # Submission 2

Both submissions come from this single checkpoint and differ only in the generation seed. Inference uses joint classifier-free guidance on text and reward, 25 Euler steps, and the prompt prefix "high quality instrumental music, ".

Intended use and limitations

Research and non-commercial use. The model generates instrumental music only (~10 s, 44.1 kHz) and was trained on a limited instrumental subset of MTG-Jamendo, so its stylistic coverage reflects that data.

License

The model weights are released under CC BY-NC 4.0 (see LICENSE). The code in the GitHub repository is MIT.

Citation

@misc{kim2026ttmhumanpref,
  title         = {Improving Text-to-Music Generation with Human Preference Rewards},
  author        = {Kim, Yonghyun and Lee, Junwon and Xia, Haiwen and Ma, Yinghao and Donahue, Chris},
  year          = {2026},
  eprint        = {2606.21670},
  archivePrefix = {arXiv},
  primaryClass  = {cs.SD},
  url           = {https://arxiv.org/abs/2606.21670}
}