controlnet-moritzef/model_old

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below.

prompt: A realistic google streetview image which was assigned a beautiful-score of 35, where scores are between 10 and 40 and higher scores indicate more beautiful. prompt: A realistic google streetview image which was assigned a beautiful-score of 35, where scores are between 10 and 40 and higher scores indicate more beautiful. prompt: A realistic google streetview image which was assigned a beautiful-score of 35, where scores are between 10 and 40 and higher scores indicate more beautiful. prompt: A realistic google streetview image which was assigned a beautiful-score of 35, where scores are between 10 and 40 and higher scores indicate more beautiful. prompt: A realistic google streetview image which was assigned a beautiful-score of 35, where scores are between 10 and 40 and higher scores indicate more beautiful. prompt: A realistic google streetview image which was assigned a beautiful-score of 35, where scores are between 10 and 40 and higher scores indicate more beautiful. prompt: A realistic google streetview image which was assigned a beautiful-score of 35, where scores are between 10 and 40 and higher scores indicate more beautiful. prompt: A realistic google streetview image which was assigned a beautiful-score of 35, where scores are between 10 and 40 and higher scores indicate more beautiful.

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]