Instructions to use TencentARC/t2iadapter_sketch_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_sketch_sd14v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_sketch_sd14v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from TencentARC/t2iadapter_sketch_sd14v1: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/TencentARC/t2iadapter_sketch_sd14v1/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://TencentARC/t2iadapter_sketch_sd14v1/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/TencentARC/t2iadapter_sketch_sd14v1/resolve/main/diffusion_pytorch_model.bin
308 MB
- Xet hash:
- c7816974e616a8b89379e2119c6a3e5ec18075cf7c53cfce95a57bca03c1d869
- Size of remote file:
- 308 MB
- SHA256:
- bb1b7fe7e5b3af6a628cfe6e3f578f7ef5919525066a2f1216b6c556a8c24a06
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