Instructions to use Nacholmo/controlnet-qr-pattern-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern-sdxl") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f1173dc170d1e5710f70a32dee00ab837dfbfc5f5f1cbd947cc920e068cb1da
- Size of remote file:
- 14.7 kB
- SHA256:
- f9f6b7e84247442f0975ed56c6d3959b21b440a3ab4b7d1aca1df9730e1d3cb6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.