Textual inversion text2image fine-tuning - hcarrion/neuroma

This repository contains textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base to generate images representing the neuroma dermatological condition. The learned concept can be invoked using the identifier <neuroma-class>.

This model was trained as part of the cgDDI framework introduced in the paper: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.

• Code: GitHub Repository
• Dataset: cgDDI Dataset

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}
}