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:
- 7572f4ff2230e5adc8e1c371c79dc19582626f41a8bcedfd7c2c3cd4dd93845b
- Size of remote file:
- 2.89 GB
- SHA256:
- 310cb03d51241bc16483369ad0613dccfb3a05f6420709306c10efe5c05ec7dd
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