from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("ortal-le/controlnet-traffic-diffusion-xl-new")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet
)controlnet-ortal-le/controlnet-traffic-diffusion-xl-new
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
You can find some example images below.
prompt: A stop sign surrounded by a sky on a very cloudy day. The atmosphere should be thick with gray clouds. The weather conditions should evoke a sense of melancholic mood in the scene.
prompt: A stop sign on a rainy day, under a cloudy sky, with rain falling around
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Model tree for ortal-le/controlnet-traffic-diffusion-xl-new
Base model
stabilityai/stable-diffusion-xl-base-1.0