Instructions to use Nacholmo/controlnet-qr-pattern-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern-v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern-v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download checkpoint-6000/optimizer.bin from Nacholmo/controlnet-qr-pattern-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/Nacholmo/controlnet-qr-pattern-v2/resolve/main/checkpoint-6000/optimizer.bin
- Command line
-
hf download hf://Nacholmo/controlnet-qr-pattern-v2/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Nacholmo/controlnet-qr-pattern-v2/resolve/main/checkpoint-6000/optimizer.bin
2.89 GB
- Xet hash:
- dd518ff7c3e6011d304f50f5b9902cfebd84569d5af37eaffbc53e14b6ed153a
- Size of remote file:
- 2.89 GB
- SHA256:
- 66076104119e33a99dca82044cd32fd4d25bb78d354fa193c3b44e17a88e5456
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