---
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](https://huggingface.co/papers/2607.12987)** (MICCAI 2026).

- **Code:** [hectorcarrion/ControllableGenDDI](https://github.com/hectorcarrion/ControllableGenDDI)
- **Dataset:** [hcarrion/ControllableGenDDI](https://huggingface.co/datasets/hcarrion/ControllableGenDDI)

## Citation

```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}
}
```