Instructions to use metafresh89/qr-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use metafresh89/qr-code with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("metafresh89/qr-code") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b40db02ba2bdc0b2bfefba5ec87a17a7ef48b739089bfe2753c03a928c20fb67
- Size of remote file:
- 723 MB
- SHA256:
- ca419d6e83c160a34d0af035a868ec39dc5c371142a41cd735ca15ada4145fd9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.