April 29, 2025Consumer-grade text-to-image tools make it easy to skip the arduous work of artistic practice and jump straight to a polished result. Chuck Anderson’s Imagined Wreckage shows how these tools instead can be layered into a bespoke and meandering artistic practice.About the AuthorChuck Anderson, Imagined Wreckage 18, 2024. Courtesy of the artist‍Meandering with AIConsumer-grade text-to-image tools make it easy to skip the arduous work of artistic practice and jump straight to a polished result. Chuck Anderson’s Imagined Wreckage shows how these tools instead can be layered into a bespoke and meandering artistic practice.‍Text-to-image generators seem designed to kill artistic practice. The relatively recent rise of Dall-E, Midjourney and similar tools has made generating images exceedingly easy, divorcing image-making from the artistic practice that typically precedes it. The paradox of widely available consumer AI image generators is that the easier they make it to create an image, the harder they make it to forge a way of being in the world that results in the creation of worthwhile images.‍‍The best artworks are the ones that carry the story of their making—often circuitous and indulgent—along with the story of their maker: contradictory, inefficient and carrying a unique point of view. There are many types of AI and there is a core group of artists—Mario Klingemann, Holly Herndon and Mat Dryhurst, Memo Akten, just to name a few—who have used and built various AI systems well before consumer text-to-image models became widely available. For these artists, AI experimentation is part of a rich artistic practice. ‍This essay considers something else:‍If broadly available, consumer-grade text-to-image tools present the temptation to leapfrog right past the arduous aspects of artistic practice straight to a pretty result, how can artists integrate these tools into a compelling practice anyway?‍‍Brutally efficient, text-to-image follows direct orders and has