Instructions to use lllyasviel/sd-controlnet-scribble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/sd-controlnet-scribble with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-scribble") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e90d49fd31a68c85aa7f219fa0d9dbc92f2470170e3a757faecb18ec62d40a05
- Size of remote file:
- 1.45 GB
- SHA256:
- e18aad61eb67ef311e4c2b34fe06b4995a011b7e15cee2ddcdd1e546ee6717cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.