
Urban
AI Design

Effects
New Effects and Possibilities

People
The decisive moment
Mid-Flight Edits: How Prompt Scheduling Reshapes AI Art

Prompt scheduling changes what a diffusion model reads mid-denoise. The [A:B:step] and [A|B] syntax lets artists morph, add and fuse concepts over time.
Handcraft by Machine: How AI Rebuilds the Arts and Crafts Style

The Arts and Crafts movement fought the machine. Now AI renders its hand-planed oak, Morris wallpaper and copper hardware—beautifully, up to a point.
Judging the Machine: How Art Prizes Confront AI in 2026

Legacy art prizes kept AI at arm's length for years. In 2026, juries are rewriting the rules and asking artists to prove who really made the work.
Stacking Styles: How Artists Use LoRAs to Build a Signature Look

LoRAs are tiny adapter files that teach AI image models a specific style. How artists train and stack them to make their work look like a decision.
Glass Boxes in the Desert: How AI Rebuilds Mid-Century Modern

AI renders mid-century modern fluently but averages it into cliche. Where it fails, and how to pull honest Eames-era design out of an image model.
Popular Works
Art and design thrive on the openness and freedom of data and models – you are free to use all generated images – if you refer to us!
Data and its distribution define the generated art and design
An important advantage of open, generative AI systems lies in their ability to enable new forms of artistic expression. By manipulating and reinterpreting data, they can generate unconventional aesthetic results and push traditional artistic boundaries.
Overall, open, generative AI systems offer an exciting opportunity to enrich and innovate the creative landscape. By providing artists with new tools and resources, they foster innovation, collaboration, and diversity, thus contributing to the advancement of art.
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