Instructions to use TencentARC/t2iadapter_zoedepth_sd15v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_zoedepth_sd15v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_zoedepth_sd15v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from TencentARC/t2iadapter_zoedepth_sd15v1: direct link, hf CLI and curl.
- Browser
- Download file 309 MB
-
https://huggingface.co/TencentARC/t2iadapter_zoedepth_sd15v1/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.bin
- Command line
-
hf download hf://TencentARC/t2iadapter_zoedepth_sd15v1@refs/pr/1/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/TencentARC/t2iadapter_zoedepth_sd15v1/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.bin
309 MB
- Xet hash:
- 70a4e57eccb338c7c9ef902a5f4488747fc12135807b57f1c24ecf23a17760a3
- Size of remote file:
- 309 MB
- SHA256:
- 79ede4983e23dbac9d326a289d53b7a6771af5166e0971be9030e8b94e3313b4
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