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These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
Source du modèle
Description de la source
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 and safe-looking street view in the USA. images_0) prompt: A realistic and dangerous-looking street view in the USA. prompt: A realistic street view in Israel. prompt: A realistic street view in Japan. prompt: A realistic and safe-looking street view in Mexico. prompt: A realistic and dangerous-looking street view in Mexico.
Sources
1 sourceVérifié 30 juil.
Artefacts du modèle
1 artefactcheckpoint-20000/controlnet/diffusion_pytorch_model.safetensors
safetensors · 1,35 GB · SHA-256 1ff5996bf5a4…9b3e · Hugging Face
TéléchargerExtraits de sources
2 extraits
# TODO: add an example code snippet for running this diffusion pipeline
[TODO: provide examples of latent issues and potential remediations]
[TODO: describe the data used to train the model]
--- 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_safety_sd15 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 and safe-looking street view in the USA.  prompt: A realistic and dangerous-looking street view in the USA.  prompt: A realistic street view in Israel.  prompt: A realistic street view in Japan.  prompt: A realistic and safe-looking street view in Mexico.  prompt: A realistic and dangerous-looking street view in Mexico.  ## 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: 6 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo louistichelman/controlnet_streetview_safety_sd15