Instructions to use birgermoell/medical_sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use birgermoell/medical_sd with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("birgermoell/medical_sd") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 69b9ee1c3324ff09beb18a499867a58278253595b550381ac8334d795ef167f1
- Size of remote file:
- 1.45 GB
- SHA256:
- 5b9eda3215d8918c00983c4f917f81acebd64a3a5d98cb34d15ee1071df2ba0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.