abscess / README.md

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Improve model card: add pipeline tag, library name, paper, code and dataset links

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base_model: stabilityai/stable-diffusion-2-1-base
library_name: diffusers
license: creativeml-openrail-m
pipeline_tag: text-to-image
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
  - textual_inversion
inference: true

Textual inversion text2image fine-tuning - hcarrion/abscess

These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base to generate dermatological images representing the abscess class.

This model was trained as part of the paper: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification (MICCAI 2026).

Code: hectorcarrion/ControllableGenDDI
Dataset: 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}
}