This is an implementation of the SG161222/RealVisXL_V2.0 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="dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot" -i seed=1111316861
With a RealvisXL-v2 LoRA:
cog predict -i prompt="photo of a TOK" -i lora_weights="https://replicate.delivery/pbxt/L5zHkM0OHX4ZF1Ipnaiok6GHGvrRgZHBqbz2JjtBAtWz8mdE/trained_model.tar"
"dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot"
