Instructions to use thibaud/controlnet-sd21-depth-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thibaud/controlnet-sd21-depth-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("thibaud/controlnet-sd21-depth-diffusers") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fecc7735aba6c090c52cf80ef3944cfee23daf7ce3bb34e2ce198fe27a5d0de4
- Size of remote file:
- 729 MB
- SHA256:
- 454116d07f006f8e7660dd3f965c9fafdb31dc58a2d13100897b5f40acd9cd23
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.