  Whereas generative adversarial networks are capable of synthesizing highly
realistic images of faces, cats, landscapes, or almost any other single
category, paint-by-text synthesis engines can -- from a single text prompt --
synthesize realistic images of seemingly endless categories with arbitrary
configurations and combinations. This powerful technology poses new challenges
to the photo-forensic community. Motivated by the fact that paint by text is
not based on explicit geometric or physical models, and the human visual
system's general insensitivity to lighting inconsistencies, we provide an
initial exploration of the lighting consistency of DALL-E-2 synthesized images
to determine if physics-based forensic analyses will prove fruitful in
detecting this new breed of synthetic media.
