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
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# Controlnet model for use in qr codes (Still on training)
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# 15 jun New model on a refined dataset with 7k steps "control_v7u_sd15_qr_pattern" added to the repo (not final)
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Conditioning only 15% of the pixels closest to black, so as not to affect the luminance of the rest of the image. Also I want to make a Preprocessor to have a blur slider. 1500.ckpt is the automatic1111 controlnet extension compatible weight, 1500.yaml is also important.
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# Controlnet model for use in qr codes (Still on training)
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# 15 jun New model trained on a refined dataset with 7k steps "control_v7u_sd15_qr_pattern" added to the repo (not final)
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Conditioning only 15% of the pixels closest to black, so as not to affect the luminance of the rest of the image. Also I want to make a Preprocessor to have a blur slider. 1500.ckpt is the automatic1111 controlnet extension compatible weight, 1500.yaml is also important.
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