louistichelman/controlnet_streetview_segmentation_res400

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controlnet-louistichelman/controlnetstreetviewsegmentation_res400

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 realistic google streetview image, which was assigned a beauty-score of 16.616573, where scores are between 10 and 40 and higher scores indicate more beauty. [image] prompt: A realistic google streetview image, which was assigned a beauty-score of 35.616573, where scores are between 10 and 40 and higher scores indicate more beauty. [image] prompt: A realistic google streetview image, which was assigned a beauty-score of 16.616573, where scores are between 10 and 40 and higher scores indicate more beauty. [image] prompt: A realistic google streetview image, which was assigned a beauty-score of 35.616573, where scores are between 10 and 40 and higher scores indicate more beauty. [image] prompt: A realistic google streetview image, which was assigned a beauty-score of 30.058624, where scores are between 10 and 40 and higher scores indicate more beauty. [image] prompt: A realistic google streetview image, which was assigned a beauty-score of 35.512676, where scores are between 10 and 40 and higher scores indicate more beauty. [image] prompt: A realistic google streetview image, which was assigned a beauty-score of 33.00086, where scores are between 10 and 40 and higher scores indicate more beauty. [image]

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]