Instructions to use TencentARC/t2iadapter_depth_sd15v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_depth_sd15v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_depth_sd15v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from TencentARC/t2iadapter_depth_sd15v2: direct link, hf CLI and curl.
- Browser
- Download file 309 MB
-
https://huggingface.co/TencentARC/t2iadapter_depth_sd15v2/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.bin
- Command line
-
hf download hf://TencentARC/t2iadapter_depth_sd15v2@refs/pr/1/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/TencentARC/t2iadapter_depth_sd15v2/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.bin
309 MB
- Xet hash:
- 2a2b761a60d6ae2def9b503baa9c0e4226d0d66c80eeaaaa434c90d7462672b9
- Size of remote file:
- 309 MB
- SHA256:
- 68aaebf5e7d5eeb62eaea9476c68d279ba98d0876b385cc925e12c43cee19edd
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