Textual inversion text2image fine-tuning - hcarrion/morphea

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

This model is a disease-conditioned checkpoint for morphea (scleroderma) 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.

Resources

• Repository: GitHub - hectorcarrion/ControllableGenDDI
• Dataset: Hugging Face - 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}
}