Instructions to use diffusers/controlnet-depth-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/controlnet-depth-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("diffusers/controlnet-depth-sdxl-1.0") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 51972058cb13cde1d2aac205189d286b6c066a1c75f6fc09db56d8967e6afc96
- Size of remote file:
- 6.36 MB
- SHA256:
- 2229cade24c6efc97310c9a67115eea65a36784d25ef9f39749db37d2e884406
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.