How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda")
pipe.load_textual_inversion("hcarrion/dermatofibroma")

Textual inversion text2image fine-tuning - hcarrion/dermatofibroma

These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base representing the dermatofibroma disease concept.

This model is 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

If you find this model useful in your research, 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}
}
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