cgDDI: verruciform_xanthoma Textual Inversion

These are disease-conditioned textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base.

This model was trained as 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.

Links

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

Citation

@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}
}