Instructions to use Jinstudio/control_v11f1p_sd15_depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinstudio/control_v11f1p_sd15_depth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jinstudio/control_v11f1p_sd15_depth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from Jinstudio/control_v11f1p_sd15_depth: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/Jinstudio/control_v11f1p_sd15_depth/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Jinstudio/control_v11f1p_sd15_depth/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Jinstudio/control_v11f1p_sd15_depth/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 7c4dfaf64bc2317587f335667dab272f6d6a4f626e8d17cf77e364d639ad7930
- Size of remote file:
- 1.45 GB
- SHA256:
- a6dfcd098d6d657f70c97718aa1a0ef5b9b51f5988478f365acde8aae9e5b97f
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