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:
- 2e9fb2d42e8ace804a6382d23015689c0247cd4a839c20ecbb88b3bbf6f2fdf7
- Size of remote file:
- 563 Bytes
- SHA256:
- 9a0df2dffc0559ef6134e0571ccfecb406ec3a612efe566ae6f1c62bcf1ab353
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