Instructions to use lllyasviel/control_v11p_sd15_normalbae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/control_v11p_sd15_normalbae with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11p_sd15_normalbae") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download images/input.png from lllyasviel/control_v11p_sd15_normalbae: direct link, hf CLI and curl.
- Browser
- Download file 1.18 MB
-
https://huggingface.co/lllyasviel/control_v11p_sd15_normalbae/resolve/main/images/input.png
- Command line
-
hf download hf://lllyasviel/control_v11p_sd15_normalbae/images/input.png
-
curl -L -o input.png https://huggingface.co/lllyasviel/control_v11p_sd15_normalbae/resolve/main/images/input.png
1.18 MB

- Xet hash:
- 7058b12bd64eabf760000c0b2daa5e787fba3ed4a3ff18280a145471a2215fbf
- Size of remote file:
- 1.18 MB
- SHA256:
- 00791e189fd3df0b963288332a944c420a606891aba7cc2d6356bdd7378fbb7b
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