Instructions to use AVIIAX/qr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AVIIAX/qr with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("AVIIAX/qr") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b770bb1b0b22f5d6033985706c8a7c9dfb610fe3872809293f8dffc4afd5459b
- Size of remote file:
- 1.45 GB
- SHA256:
- 29bc1cbd7de2e4bee030184321724bd0c6a1724dd815eb8e593379c39badfdf2
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