Torus with City and Workshop Macro View AI Image Prompt
do this for {argument name="subject" default="Mecca"} : G = (V, E) where: V = { v₁: Torus(radius=R, layers=8, material={argument name="material" default="wood"}), v₂: City(landmarks={l₁...lₙ}, scale=1:100), v₃: Workshop(tools, bench, lighting), v₄: Camera(macro, f/2.8, 45°) } E = { (v₁, v₂, "surface_embedding"), (v₁, v₃, "located_in"), (v₁, v₄, "viewed_by"), (v₂.landmarks, v₁.layers, "distributed_across") } Constraints: ∀l ∈ landmarks: position(l) ∈ torus_surface ∀layer ∈ layers: wood_grain(layer) ≠ wood_grain(layer+1) Generate(G) → Image
Content: Graph structure: vertices (adjustable torus, city, workshop, camera), edges (surface embedding, location, view, landmark distribution), constraints (positions on torus surface, alternating wood grain).
Pros: Structured clarity, explicit component relations;
Cons: Too abstract, requires refinement for actual generation;
Reference image: No obvious reference-image dependency
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