from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("kmaksatk/controlnet_80k_data_blip")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", controlnet=controlnet
)controlnet-kmaksatk/controlnet_80k_data_blip
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
You can find some example images below.
prompt: High qualityphoto of male gymnast in a blue sport outfit in the olympic game
prompt: High qualityphoto of male gymnast in a blue sport outfit in the olympic game
prompt: High qualityphoto of male gymnast in a blue sport outfit in the olympic game
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Model tree for kmaksatk/controlnet_80k_data_blip
Base model
runwayml/stable-diffusion-v1-5