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:
- 5999465d6a3f7349fbd0e1a7de112f2a6e5dc76bf03957a4c6050cdcabb3ca0c
- Size of remote file:
- 1.45 GB
- SHA256:
- 34b68554e2fc95977e2b63fd7a13ef5336c6472abf8b237d13062ea40b7f40c7
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