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
- Xet hash:
- dce16ba9bc03c5af6c1213bd367d274fea7c2224c0f884b2981daed28003e7ec
- Size of remote file:
- 2.89 GB
- SHA256:
- b3eb0d79d1ef22ff80bc76d104fc818c1ab194cfd1a80bb48c4d2b59bd7952e7
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