Author here: Fair, i could've been more explicit in my writing. Concretely:

Every bird is a cutout from a real scanned 1800s plate (Gould, the von Wright brothers, Dresser...). The manifest (https://github.com/arnegiacomo/fugleramme/blob/main/assets/a...) links to each source, so you can compare them to the original scans. No bird has been prompt/diffusion generated, although I did use diffusion-based tools to remove birds from the perches (https://github.com/arnegiacomo/fugleramme/tree/main/assets/a...).

Nothing at runtime uses AI either, at least in the sense of LLMs or diffusion. The collage is Pillow and numpy, and detection is BirdNET, which is a classifier, not a generative model.

However I have used LLMs for code-related work, and for writing scripts for programatically editing the images, like cutting, contrast and colour corrections.