cellular_neurothekeoma

Textual Inversion cgDDI - cellular_neurothekeoma

These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base representing the cellular neurothekeoma disease class.

This model was 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.

Model Details

• Concept Token: <cellular_neurothekeoma-class>
• Base Model: stabilityai/stable-diffusion-2-1-base
• Official Code: GitHub Repository
• Dataset: hcarrion/ControllableGenDDI

You can find the other 64 disease-conditioned checkpoints in the official repository.

Citation

If you find this work useful, please cite:

@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}
}