from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("Kornberg/controlnet_landsat")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"stabilityai/stable-diffusion-2-1-base", controlnet=controlnet
)controlnet-Kornberg/controlnet_landsat_scheduler2
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: A satellite image of the earth. The weather is clear
prompt: A satellite image of the earth. The weather is cloudy and cold
prompt: A satellite image of the earth. The weather is slightly cloudy and very snowy
prompt: A satellite image of the earth. The weather is clear
prompt: A satellite image of the earth. The weather is slightly cloudy and cold
prompt: A satellite image of the earth. The weather is very cloudy and very snowy
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Model tree for Kornberg/controlnet_landsat
Base model
stabilityai/stable-diffusion-2-1-base