from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("SargeZT/controlnet-v1e-sdxl-depth")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet
)controlnet-SargeZT/controlnet-v1e-sdxl-depth
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with depth maps. Note that the input depth maps are perceptually mapped from ZoeDepth.
You can find some example images below.
prompt: nightmare construction worker, unsettling
prompt: android warrior, unsettling
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Base model
stabilityai/stable-diffusion-xl-base-1.0