Abstract
Dall-E2 and Stable Diffusion promote their text-to-image models based on their level of (photo)realism. The use of photographic language is not superficial or accidental but indicative of a broader tendency in computer science and data practice. To nuance the general application of photorealism, I position the term alongside photographic realism and computational photorealism. To contextualize important nuances between these three terms, contemporary examples from astrophotography are analysed and reconstructed using text-to-image models. From the comparative analysis, computational photorealism emerges as a modified term that recognizes the relationship between photography and text-to-image models without conflating their ontological and epistemological differences.
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