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:
- 2abc15a44edb6eb65cb9d524fc1e9f16e1aee3855b665c0e170a4e8463efba0b
- Size of remote file:
- 14.7 kB
- SHA256:
- 48afda28d03d85684d4ec6f73b1026c5cfb33ffafeefdb9988bf67c99a851137
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