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-3500/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-3500/optimizer.bin
- Command line
-
hf download hf://Nacholmo/controlnet-qr-pattern/checkpoint-3500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Nacholmo/controlnet-qr-pattern/resolve/main/checkpoint-3500/optimizer.bin
2.89 GB
- Xet hash:
- 7235453cca91ffc4c7cfcd170ac5ea6e63b315d7135ff32a155493cce1fd87f7
- Size of remote file:
- 2.89 GB
- SHA256:
- d953e7ba516a360f4ad3ecc4a75fdeffe2593cb67cf09c7b5234498b6216413b
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