Instructions to use TencentARC/t2iadapter_depth_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_depth_sd14v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_depth_sd14v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from TencentARC/t2iadapter_depth_sd14v1: direct link, hf CLI and curl.
- Browser
- Download file 309 MB
-
https://huggingface.co/TencentARC/t2iadapter_depth_sd14v1/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://TencentARC/t2iadapter_depth_sd14v1/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/TencentARC/t2iadapter_depth_sd14v1/resolve/main/diffusion_pytorch_model.bin
309 MB
- Xet hash:
- 4d948ffb9078384dda34deaab0666499754b17fca25ca93ceafcb7bafae17513
- Size of remote file:
- 309 MB
- SHA256:
- 42dc0a5c42eeb8ebbdd2d5c968487958983bbe7f458d8bf31508159b4f083696
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.