Instructions to use multimodalart/controlnet-sd21-depth-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use multimodalart/controlnet-sd21-depth-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("multimodalart/controlnet-sd21-depth-diffusers") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.safetensors from multimodalart/controlnet-sd21-depth-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 728 MB
-
https://huggingface.co/multimodalart/controlnet-sd21-depth-diffusers/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://multimodalart/controlnet-sd21-depth-diffusers/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/multimodalart/controlnet-sd21-depth-diffusers/resolve/main/diffusion_pytorch_model.safetensors
728 MB
- Xet hash:
- 67a96e4176070869bf6c40f9b60da119c46681edf43d90e03e5181601598dcf9
- Size of remote file:
- 728 MB
- SHA256:
- f4b727c9963d298c3fb4a1b4858596a84437fed14312840e1f0a37f28a45bba5
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