This is an implementation of the latent-consistency/lcm-sdxl as a Cog model. Cog packages machine learning models as standard containers.
First, download the pre-trained weights:
cog run script/download-weights
Then, you can run predictions:
cog predict -i prompt="A beautiful brunette pilot girl, beautiful, moody lighting, best quality, full body portrait, real picture, intricate details, depth of field, in a cold snowstorm, , Fujifilm XT3, outdoors, bright day, Beautiful lighting, RAW photo, 8k uhd, film grain, unreal engine 5, ray travig"
"A beautiful brunette pilot girl, beautiful, moody lighting, best quality, full body portrait, real picture, intricate details, depth of field, in a cold snowstorm, , Fujifilm XT3, outdoors, bright day, Beautiful lighting, RAW photo, 8k uhd, film grain, unreal engine 5, ray travig"
