Instructions to use TencentARC/t2iadapter_canny_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_canny_sd14v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_canny_sd14v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from TencentARC/t2iadapter_canny_sd14v1: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/TencentARC/t2iadapter_canny_sd14v1/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.bin
- Command line
-
hf download hf://TencentARC/t2iadapter_canny_sd14v1@refs/pr/1/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/TencentARC/t2iadapter_canny_sd14v1/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.bin
308 MB
- Xet hash:
- c06c7d6546a0162d83ceca2ff1e8662441ecf7d1118caa69f19b9da4d1b57cf1
- Size of remote file:
- 308 MB
- SHA256:
- 24c267768c1f636a4fb81460d06fbc626fc9718f49d9f719d071e15e0235ef37
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