These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base representing the clear cell acanthoma dermatological condition.

This model is a part of the cgDDI (Controllable Generation of Diverse Dermatological Imagery) framework presented in the paper Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification (MICCAI 2026).

Resources

Paper: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification
Code: GitHub Repository
Dataset: hcarrion/ControllableGenDDI

Citation

bibtex

@inproceedings{carrion2026cgddi,
  title     = {Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification},
  author    = {Carri{\'o}n, H{\'e}ctor and Norouzi, Narges},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  year      = {2026},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science}
}