Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/tinea_pedis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/tinea_pedis 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/tinea_pedis") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Link model to paper and official GitHub repository
#1
by nielsr HF Staff - opened
This PR improves the model card for hcarrion/tinea_pedis by:
- Linking it to the corresponding 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.
- Properly specifying the
library_name: diffusersandpipeline_tag: text-to-imagein the YAML metadata to improve discovery on the Hub.
Merging - thanks for linking the paper!
hcarrion changed pull request status to merged