This model alone produced a high degree of variability when generating Science Fiction type Airlocks as you might see in a video game or TV show, however this is merely a fraction of it's true power. When you merge this model with other models like it, or more complex ones with deeper interoperability, it is possible to create a tightly controls scope of variance.

By weighting the merge either by weighted Sum (additive) or by difference (exclusionary) it's easy to restrict the KNN5 Diffusion adding or remove elements from a model with laser precision.

In the photos i'm atttaching here, we see a merge of Junglepunk, Airlock and Rick-Roll.

Any advanced technology elements are influenced by images trained into the Airlock model. any Nature type elements are influenced by images trained into the Junglepunk model. Finally the heavy weight of the merge with Rick-Roll, pulls the outputs toward Photorealism.

Please use my images if needed to enhance the model description, and thanks for provided these!