Instructions to use TencentARC/t2iadapter_openpose_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_openpose_sd14v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_openpose_sd14v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from TencentARC/t2iadapter_openpose_sd14v1: direct link, hf CLI and curl.
- Browser
- Download file 309 MB
-
https://huggingface.co/TencentARC/t2iadapter_openpose_sd14v1/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://TencentARC/t2iadapter_openpose_sd14v1/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/TencentARC/t2iadapter_openpose_sd14v1/resolve/main/diffusion_pytorch_model.bin
309 MB
- Xet hash:
- 01b4d1c3bf62b3fa1f327fe808c201b7b49ccfe93144623533478b3cab789c2e
- Size of remote file:
- 309 MB
- SHA256:
- 6db9126252a100eda4f927789bb3a72fb45ec806fec36b42f2a14e7f35b2c3da
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