Instructions to use DionTimmer/controlnet_qrcode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DionTimmer/controlnet_qrcode with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("DionTimmer/controlnet_qrcode") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from DionTimmer/controlnet_qrcode: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/DionTimmer/controlnet_qrcode/resolve/refs%2Fpr%2F33/diffusion_pytorch_model.bin
- Command line
-
hf download hf://DionTimmer/controlnet_qrcode@refs/pr/33/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/DionTimmer/controlnet_qrcode/resolve/refs%2Fpr%2F33/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 1ab3876a3ed06e1447777778df91989773ca352272cecfb3c682796133464bfb
- Size of remote file:
- 1.45 GB
- SHA256:
- a712800aa51ed13ab747b7d6523849ce736b3e760ca378eccbbd84356194f3cc
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