Instructions to use Nacholmo/controlnet-qr-pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download checkpoint-11500/optimizer.bin from Nacholmo/controlnet-qr-pattern: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/Nacholmo/controlnet-qr-pattern/resolve/main/checkpoint-11500/optimizer.bin
- Command line
-
hf download hf://Nacholmo/controlnet-qr-pattern/checkpoint-11500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Nacholmo/controlnet-qr-pattern/resolve/main/checkpoint-11500/optimizer.bin
2.89 GB
- Xet hash:
- d971fab0b1ec19e61d5a021a89356a9d0dbf6347f2a8ff5e3e16b3c2878eec36
- Size of remote file:
- 2.89 GB
- SHA256:
- cc3fbe21f31556648b9398e7776a7355a4a9b142ce1b7c009645c3e30f1c5066
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