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
Download diffusion_pytorch_model.fp16.bin from Stepsheb/control_v11f1p_sd15_depth: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/Stepsheb/control_v11f1p_sd15_depth/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Stepsheb/control_v11f1p_sd15_depth/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Stepsheb/control_v11f1p_sd15_depth/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- 89f112aae0414d38f6bbe8d8d1a5315c1faf5e933ebd71eecfe73fff4c99240b
- Size of remote file:
- 723 MB
- SHA256:
- e809f8a7e4c3dd40f906e35213afa0e0e90feea363d9a59b653cacbc0a7c9d84
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