Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/squamous_cell_carcinoma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/squamous_cell_carcinoma 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/squamous_cell_carcinoma") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Link model to cgDDI paper and GitHub repository
#1
by nielsr HF Staff - opened
Hi! This PR improves the model card for this textual inversion checkpoint by:
- Linking it to the associated paper: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.
- Adding the official GitHub repository link.
- Linking the dataset.
- Properly adding the
pipeline_tag(text-to-image) andlibrary_name(diffusers) to the YAML metadata to improve its discoverability on the Hub.
Merging - thanks for linking the paper!
hcarrion changed pull request status to merged