Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/atopic_dermatitis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/atopic_dermatitis with Diffusers:
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/atopic_dermatitis") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Improve model card, add paper and GitHub links
#1
by nielsr HF Staff - opened
This PR improves the model card for this cgDDI checkpoint by:
- Linking it to the MICCAI 2026 paper: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.
- Adding a link to the official GitHub repository: https://github.com/hectorcarrion/ControllableGenDDI.
- Defining
library_name: diffusersandpipeline_tag: text-to-imagein the YAML metadata to improve model discoverability. - Describing the cgDDI framework and how this specific disease-conditioned adapter (atopic dermatitis) can be used.
Merging - thanks for linking the paper!
hcarrion changed pull request status to merged