from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("mespinosami/sen12mscr-sd-1_5")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", controlnet=controlnet
)controlnet-mespinosami/sen12mscr-sd-1_5
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
You can find some example images below.
prompt: cloudless satellite image, remove all clouds from satellite image, no clouds
prompt: cloudless satellite image, remove all clouds from satellite image, no clouds
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Model tree for mespinosami/sen12mscr-sd-1_5
Base model
runwayml/stable-diffusion-v1-5