Instructions to use SargeZT/controlnet-v1e-sdxl-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SargeZT/controlnet-v1e-sdxl-depth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("SargeZT/controlnet-v1e-sdxl-depth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- acf929802f5a8d423633a354afacb5939196b1e686a4215945912a46df0d26de
- Size of remote file:
- 5 GB
- SHA256:
- 527a83d48884e568fa6b30c624cf721f6172cb49bf44c816fdd3d3a585d3fa88
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