Instructions to use Nacholmo/controlnet-qr-pattern-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern-v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern-v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7eec65bf7051890cd4f4f619b71f560fb4571a00faba6ec052cf4439552f441
- Size of remote file:
- 1.45 GB
- SHA256:
- 080efeb6105af58bb6e5b7703f46b55712126ac9fe9ccdf9639f8439d4b51fb5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.