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:
- 3feb4d6c41a28aa3ccc4c46df5c86dd9e9acc2a7fbba0954014e9c07f64a657f
- Size of remote file:
- 2.89 GB
- SHA256:
- 1f42e2ccd11c4cfb429894d5e188d36d7c1e6350fb03d18c3abe2bf78782df1f
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