ControlNet Streetview Canny 350.300

--- license: creativeml-openrail-m library_name: diffusers tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training base_model: runwayml/stable-diffusion-v1-5 inference: true --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # 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.  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.  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.  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.  ## Intended uses & limitations #### How to use ```python # 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]

Source context: 5 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo louistichelman/controlnet_streetview_canny_350.300

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo louistichelman/controlnet_streetview_canny_350.300