Instructions to use TencentARC/t2iadapter_canny_sd15v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_canny_sd15v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_canny_sd15v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from TencentARC/t2iadapter_canny_sd15v2: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/TencentARC/t2iadapter_canny_sd15v2/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.bin
- Command line
-
hf download hf://TencentARC/t2iadapter_canny_sd15v2@refs/pr/1/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/TencentARC/t2iadapter_canny_sd15v2/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.bin
308 MB
- Xet hash:
- a028269a460933fafd0d722c05b28a67fe863b99e4f70743c9d3a1d4e988ce56
- Size of remote file:
- 308 MB
- SHA256:
- d4a953500f5d5e2a97481a74660728a554a41d12553fa7c654b81756ac7fa2c5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.