Textual inversion text2image fine-tuning - hcarrion/graft-vs-host_disease

This repository contains the weights for graft-vs-host_disease trained on top of stabilityai/stable-diffusion-2-1-base.

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 (MICCAI 2026).

Resources

• GitHub Repository: hectorcarrion/ControllableGenDDI
• Dataset: hcarrion/ControllableGenDDI

Citation

If you find this work helpful, please consider citing:

@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}
}