Instructions to use ckpt/controlnet_qrcode-control_v1p_sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ckpt/controlnet_qrcode-control_v1p_sd15 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ckpt/controlnet_qrcode-control_v1p_sd15") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from ckpt/controlnet_qrcode-control_v1p_sd15: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/ckpt/controlnet_qrcode-control_v1p_sd15/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ckpt/controlnet_qrcode-control_v1p_sd15/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ckpt/controlnet_qrcode-control_v1p_sd15/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- b5d79271ee1247727d521697d0b1bd0e570a3c661b7db4cc038b29c0d0901d1d
- Size of remote file:
- 1.45 GB
- SHA256:
- a712800aa51ed13ab747b7d6523849ce736b3e760ca378eccbbd84356194f3cc
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