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:
- 68bddf5b204b464d4bd18747f1188b4ea08f0363ae9d5fc2dd0333e0d887900a
- Size of remote file:
- 563 Bytes
- SHA256:
- 7edd8082ac389d0c946c2ac507fc3e4d21eaad8a44fcb3f7b57ebbd1b62363dc
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