Instructions to use diffusers/controlnet-depth-sdxl-1.0-mid 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-mid with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("diffusers/controlnet-depth-sdxl-1.0-mid") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 60f1f94108d3fe9adccf38d7d487d644b5907751bcc716a1826566bec6c8034f
- Size of remote file:
- 1.09 GB
- SHA256:
- 607919f567b006ed9aa5d3ebcae5639f9ece5eddbcbfc45c8fc8a87b72edbbe0
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