These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base to generate imagery associated with blastic plasmacytoid dendritic cell neoplasm.

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.

Citation

GitHub Repository: <a href="https://github.com/hectorcarrion/ControllableGenDDI" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">ControllableGenDDI
Dataset: <a href="https://huggingface.co/datasets/hcarrion/ControllableGenDDI" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">hcarrion/ControllableGenDDI

bibtex

@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}
}

hcarrion/blastic_plasmacytoid_dendritic_cell_neoplasm

Textual inversion text2image fine-tuning - hcarrion/blastic_plasmacytoid_dendritic_cell_neoplasm

Links

Citation

hcarrion/
blastic_plasmacytoid_dendritic_cell_neoplasm