Instructions to use Nacholmo/controlnet-qr-pattern-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern-v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern-v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2947c0075c15ce3eb15ce3da8d46791a5fe826e877512506080b547acdbba7aa
- Size of remote file:
- 563 Bytes
- SHA256:
- ff447e68c5793828b6c619cf9bb16da19116eb8dde7a397db8cac00f990b5cde
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