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-15000/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-15000/optimizer.bin
- Command line
-
hf download hf://Nacholmo/controlnet-qr-pattern/checkpoint-15000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Nacholmo/controlnet-qr-pattern/resolve/main/checkpoint-15000/optimizer.bin
2.89 GB
- Xet hash:
- ba64fb5b7c7520446cf5ce835581527d680299f4a562878d68d087a1ef4b0ec0
- Size of remote file:
- 2.89 GB
- SHA256:
- 948a8b53c13990d1caf5eb7764b32f86bd107581e88663cde1ac60dd5a4011e9
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