from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("latentcat/control_v1u_sd15_laplacian")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", controlnet=controlnet
)controlnet- ioclab/control_v1u_sd15_laplacian
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following.
prompt: a village in the mountains
prompt: three people walking in an alleyway with hats and pants
prompt: an anime character, natural skin
prompt: a man in a black suit
prompt: the forbidden city in beijing at sunset with a reflection in the water
prompt: a man in a white shirt holding his hand out in front of
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Model tree for latentcat/control_v1u_sd15_laplacian
Base model
runwayml/stable-diffusion-v1-5