From diffusion models to custom training sets, artists are building workflows that preserve authorship while expanding what is possible on the canvas.
Art
Art • Science • Ideas
A new generation of digital artists treats algorithms as collaborators—not replacements—for human creativity.
From diffusion models to custom training sets, artists are building workflows that preserve authorship while expanding what is possible on the canvas.