Instructions to use Nacholmo/controlnet-qr-pattern-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern-sdxl") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusers/scaler.pt from Nacholmo/controlnet-qr-pattern-sdxl: direct link, hf CLI and curl.
- Browser
- Download file 557 Bytes
-
https://huggingface.co/Nacholmo/controlnet-qr-pattern-sdxl/resolve/0b60ab7964b939845ae8cdf0ea6fc58a52896b29/diffusers/scaler.pt
- Command line
-
hf download hf://Nacholmo/controlnet-qr-pattern-sdxl@0b60ab7964b939845ae8cdf0ea6fc58a52896b29/diffusers/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/Nacholmo/controlnet-qr-pattern-sdxl/resolve/0b60ab7964b939845ae8cdf0ea6fc58a52896b29/diffusers/scaler.pt
557 Bytes
- Xet hash:
- a2a311ac1e81a6c4a25f72274b479afa898c5704eb8a7db68a2725ada5f7ca86
- Size of remote file:
- 557 Bytes
- SHA256:
- 9fb33b1da2125feaa501f6acf7c67409ff703b0320e8e55bf616863891dd3346
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