Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/keloid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/keloid 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/keloid") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Improve model card: add paper, code, dataset links and metadata
#1
by nielsr HF Staff - opened
Hi!
This PR improves the model card for hcarrion/keloid by:
- Adding
library_name: diffusersandpipeline_tag: text-to-imageto the YAML metadata. - Linking the model card to the corresponding paper (Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification).
- Linking to the official GitHub repository and Hugging Face dataset.
- Specifying the trigger token (
<keloid-class>) to make it clear how to use the model. - Providing the BibTeX citation.
Merging - thanks for linking the paper!
hcarrion changed pull request status to merged