Instructions to use thibaud/controlnet-sd21-normalbae-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thibaud/controlnet-sd21-normalbae-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("thibaud/controlnet-sd21-normalbae-diffusers") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from thibaud/controlnet-sd21-normalbae-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 729 MB
-
https://huggingface.co/thibaud/controlnet-sd21-normalbae-diffusers/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://thibaud/controlnet-sd21-normalbae-diffusers/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/thibaud/controlnet-sd21-normalbae-diffusers/resolve/main/diffusion_pytorch_model.bin
729 MB
- Xet hash:
- 1cfb36c380ebad5948072e0a9f87f7a0800987fd0082c900c73b0576f8bdb280
- Size of remote file:
- 729 MB
- SHA256:
- bf6531976b89d36821a9a89c865745c66d132e8c5a1c7150684663a883a19cf9
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