Instructions to use Nacholmo/controlnet-qr-pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc7f3af2e94d58c6d7ebfcbd49b71d63d46bf35dbb34bb95f06ebd476955ac51
- Size of remote file:
- 2.89 GB
- SHA256:
- 745f5d8e499d4e1ee66b83aa8a6f3ce959200564a27ebdaef40c86ed23718187
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