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