Textual inversion text2image fine-tuning - hcarrion/acne-cystic

These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base representing the <acne-cystic-class> concept.

This model was developed as part of the cgDDI 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

@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}
}