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.fp16.bin from ckpt/controlnet_qrcode-control_v1p_sd15: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/ckpt/controlnet_qrcode-control_v1p_sd15/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://ckpt/controlnet_qrcode-control_v1p_sd15/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/ckpt/controlnet_qrcode-control_v1p_sd15/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- 82accda1dc28eecab5fdad1ab6f3f13494785abb3ed230f0df61faf53bfcc8b9
- Size of remote file:
- 723 MB
- SHA256:
- afe344f75b44d61149255059e6db40a57c36f81c3a42f3e67d9f92d72b6f71df
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