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:
- 84ba41df2840d372a314d8b8b19ef333185d97c768ccdad6aa6be2a46ad4a5a5
- Size of remote file:
- 2.89 GB
- SHA256:
- df45bb1ff2c4c69b5dc8075ff2b02a2246afcc378b187eb50f0cbe4f2b0edd39
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