Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/morphea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/morphea 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/morphea") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Link model to paper and GitHub repository
#1
by nielsr HF Staff - opened
This PR improves the model card for hcarrion/morphea by:
- Setting the
pipeline_tag: text-to-imageandlibrary_name: diffusersin the YAML metadata. - Linking the model to its paper Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.
- Providing links to the official GitHub repository and dataset.
- Adding the BibTeX citation for the paper.
Merging - thanks for linking the paper!
hcarrion changed pull request status to merged