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:
- 0be91a45ab9af2a80e304518b85e8dc9d70c8d0abb52f193614b28d05db7be76
- Size of remote file:
- 2.89 GB
- SHA256:
- cb0e0ca6585a59c7ba7b0b0663cd6a0e9eff4447bbac368e1c6e14a433c4b38f
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