Diffusers
TensorBoard
controlnet
stable-diffusion
medical-imaging
retinal-imaging
diabetic-retinopathy
counterfactual
Instructions to use KylianSu/vessel-bezier-retinal-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KylianSu/vessel-bezier-retinal-weights with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("KylianSu/vessel-bezier-retinal-weights") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9255ae21572314288514ef45ba94c54cd81278bac1d7132d8881432a538bea0
- Size of remote file:
- 31.3 MB
- SHA256:
- 1ba682296d021e289e4bbf144029d97a15777588e8eb7a1c90600ccbc6d27389
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.