Instructions to use Stepsheb/control_v11f1p_sd15_depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Stepsheb/control_v11f1p_sd15_depth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Stepsheb/control_v11f1p_sd15_depth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d82c29cab46ede7886cd3df7e68878760e2cf03d6963ce8ad2a8c378fe920950
- Size of remote file:
- 1.45 GB
- SHA256:
- 999aca923ca5e19e70e6afc8d11073cc3c03553ca935b636bd5925df4a1c77d1
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