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controlnet-louistichelman/controlnet_streetview_canny_350.300

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

prompt: A google streetview image that shows a urban scene with a beauty-score of 31.616573, where scores are between 10 and 40 and higher scores indicate more beauty. images_0) prompt: A google streetview image that shows a urban scene with a beauty-score of 39.616564, where scores are between 10 and 40 and higher scores indicate more beauty. images_1) prompt: A google streetview image that shows a urban scene with a beauty-score of 23.188663, where scores are between 10 and 40 and higher scores indicate more beauty. images_2) prompt: A google streetview image that shows a urban scene with a beauty-score of 36.188663, where scores are between 10 and 40 and higher scores indicate more beauty. images_3)

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]

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