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/trichilemmoma")

Textual inversion text2image fine-tuning - hcarrion/trichilemmoma

These are textual inversion adaptation weights for stabilityai/stable-diffusion-2-1-base representing the trichilemmoma skin condition.

This model was introduced as part of the cgDDI (Controllable Generation of Diverse Dermatological Imagery) framework in the paper Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.

Resources

Citation

If you find this model useful for 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}
}
Downloads last month
46
Safetensors
Model size
0.9B params
Tensor type
F16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for hcarrion/trichilemmoma

Adapter
(712)
this model

Paper for hcarrion/trichilemmoma