Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/dermatomyositis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/dermatomyositis 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/dermatomyositis") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Improve model card: add paper & GitHub links, library name, and pipeline tag
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face team.
This PR improves the model card for your Textual Inversion model by:
- Linking it to your MICCAI 2026 paper: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.
- Adding
library_name: diffusersandpipeline_tag: text-to-imageto the YAML metadata to enable structured discovery and the "Use in Diffusers" button. - Linking the official GitHub repository and dataset for easier user access.
Feel free to merge if this looks good!
Merging - thanks for linking the paper!
hcarrion changed pull request status to merged