Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("ButterChicken98/bact_puls_controlnet_seg_v1")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"ButterChicken98/dec_logs_ab_v4_balanced", controlnet=controlnet
)controlnet-ButterChicken98/bact_puls_controlnet_seg_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 in early infection of Bacterial Pustule, with tiny raised yellow-brown spots near the edges.
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]
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Model tree for ButterChicken98/bact_puls_controlnet_seg_v1
Base model
ButterChicken98/dec_logs_ab_v4_balanced