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:
- 3a3817ea9f9992fd6fd25bd1a4b303bac2f7dc0af033edfe784aa31aaca3b90e
- Size of remote file:
- 1.45 GB
- SHA256:
- 8c10457d104cf6adc318fee3a981d3a1a2e60796259e54420a0f933a68dbdeda
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