cgDDI: sebaceous_carcinoma

These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base to generate dermatological images of sebaceous carcinoma.

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

Resources

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

Citation

If you find these weights or the paper useful for your research, please cite the following work:

@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}
}