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", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_textual_inversion("hcarrion/leukemia_cutis")

Textual inversion text2image fine-tuning - hcarrion/leukemia_cutis

These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base to generate images of leukemia cutis.

This model is part of the paper Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification, presented at MICCAI 2026.

Citation

If you find this model or the cgDDI framework useful, please consider citing:

@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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