Instructions to use Abrumu/controlnet_canny_pretrained_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Abrumu/controlnet_canny_pretrained_v3 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Abrumu/controlnet_canny_pretrained_v3") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusion_pytorch_model.bin from Abrumu/controlnet_canny_pretrained_v3: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/Abrumu/controlnet_canny_pretrained_v3/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Abrumu/controlnet_canny_pretrained_v3/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Abrumu/controlnet_canny_pretrained_v3/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 2743c470a11c267945f63a223be8265fa3d5f89060b66ee573e602b9904db853
- Size of remote file:
- 1.45 GB
- SHA256:
- 8ca2bb560d4cf4d017980e5450d1d866b0f3c4fa058f8a33dffc3f1e26c2bd11
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