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:
- e969588a3444c91f9505f87400080b258b0922da90d69ef2070c3da5ddd32f70
- Size of remote file:
- 1.45 GB
- SHA256:
- 3299e899f41db5ac5e45c2c280301601c0bf601cc5f08b38c379466b5938a112
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