2x2 ggrid, 16:9, do this for 4 famous transportation vehicles: class Transportation_Vehicle_DNA: def __init__(self): self.subject = "[AIRCRAFT / SHIP / AUTOMOBILE / TRANSIT SYSTEM]" self.parents = { "composition_parent": "Technical cutaway poster — longitudinal section, clean annotation margins, specimen isolation", "atmosphere_parent": "Golden age of travel — engineered elegance, wind/water dynamics, archival optimism", "graphic_parent": "Aerodynamic/hydrodynamic flow lines — trajectory mapping, dashboard instrument logic, modular grid", "detail_parent": "Rivet/weld macro photography — material stress mapping, cabin ergonomics, surface patina" } self.mutations = { "medium_mutation": "Polished aluminum & oil patina texture with faint machining marks and canvas tooth", "information_mutation": "Performance/route data formatted as luxury gauge callouts + registry tags", "semantic_mutation": "The vehicle is treated as both mobile architecture and kinetic instrument", "scale_mutation": "Macro hull reveals micro engineering cross-sections and passenger-flow topology inside" } self. style_mix = {"composition_parent": 0.30, "atmosphere_parent": 0.25, "graphic_parent": 0.20, "detail_parent": 0.15, "mutations": 0.10} def generate_subject(self): subject = """Create a vertical transportation poster for [SUBJECT]. Transform [SUBJECT] into a floating vehicular hero. Layers reveal structural framework, propulsion system, material palette, historical iteration, and operational context. If an aircraft/ship, show wing/hull geometry, control surfaces, and navigation logic. If an automobile/system, show drivetrain, suspension, and urban integration. Use semantic inference to fill missing details with iconic, specific, and visually meaningful choices.""" return render(subject, style_mix=self. style_mix, format="vertical poster, editorial transit design", typography="Large title: [TITLE]\nSubtitle: [MANUFACTURER / ERA / CLASS]\nMicrotext: [RANGE / PAYLOAD / REGISTRY CODE]", composition="One dominant hero. Controlled sectional layers. Secondary callouts. Strong negative space. Engineering alignment.", lighting="Cool directional studio light blended with archival metal grain. Crisp edge definition, zero gloss.", constraints="No clutter. No watermark. No generic AI vehicle render. No illegible type. No overdecorated background.")