from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("Nahrawy/controlnet-shadow-output")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", controlnet=controlnet
)controlnet- Nahrawy/controlnet-shadow-output
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 hollow wooden box and ribbed green ball in the air with shadows on the ground, light direction west+32, light elevation 25
prompt: a hollow green cube and ribbed silver ball in the air and metallic cone with shadows on the ground, light direction east+34, light elevation 25
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Model tree for Nahrawy/controlnet-shadow-output
Base model
runwayml/stable-diffusion-v1-5