Soy Aerial Blight Depth ControlNet v1

--- base_model: ButterChicken98/dec_logs_ab_v4_balanced library_name: diffusers license: creativeml-openrail-m inference: true tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training --- <!-- 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-ButterChicken98/soy_aerial_blight_depth_controlnet_v1 These are controlnet weights trained on ButterChicken98/dec_logs_ab_v4_balanced with new type of conditioning. You can find some example images below. prompt: A soybean leaf with early symptoms of Aerial Blight, showing small water-soaked spots at the leaf tip.  ## 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: 24 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ButterChicken98/soy_aerial_blight_depth_controlnet_v1

Source context: 8 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ButterChicken98/soy_aerial_blight_depth_controlnet_v1