Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/abscess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/abscess 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/abscess") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Improve model card: add pipeline tag, library name, paper, code and dataset links
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
This PR improves the model card for the abscess concept checkpoint. It:
- Adds
library_name: diffusersandpipeline_tag: text-to-imageto the YAML metadata to make the model easily discoverable and enable widgets. - Links the model card to its corresponding paper page on Hugging Face: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.
- Links the model to the official GitHub repository and Hugging Face dataset.
- Adds the correct BibTeX citation from the publication.
Feel free to merge if this looks good!
Merging - thanks for linking the paper!
hcarrion changed pull request status to merged