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:
- b18846d7a2fb3ebcb2a1828505f5709215812c3235bc41ff70bbc24acc6698c5
- Size of remote file:
- 5 GB
- SHA256:
- 10f8985748ce2fbb38e83a7fe603809c9c8f94ba0c9d42b3c6a6e88467623f0a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.