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AI Design

Effects
New Effects and Possibilities

People
The decisive moment
The Solver Behind the Style: How Samplers Shape AI Art

Two runs, same prompt and seed, different sampler and a different image. How ancestral vs deterministic solvers and step counts shape the look of AI art.
Cathedrals of Brick: How AI Rebuilds Expressionist Architecture

German Expressionism built from pure feeling — Mendelsohn's Einstein Tower, Höger's Chilehaus. How to make AI render its strange, leaning brick.
On the Roster: Galleries Start Signing AI-Native Artists in 2026

In 2026 a few dealers stopped booking AI art as a novelty and started representing the artists — rosters, solo shows, and the hard questions that follow.
Splitting the Canvas: How Regional Prompting Composes AI Art

Diffusion models blend the whole prompt across the frame. Regional prompting carves the canvas into zones so each subject keeps its own space.
How AI Redraws Streamline Moderne, the Machine-Age Style

Generative image tools are giving Streamline Moderne a second life. Where the 1930s machine-age style fools the models, and where it falls apart.
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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Enrolled people
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