
GPT Image 2.0
Четыре классических коктейля — Мартини, Олд Фэшн, Негрони и Маргарита — представлены в виде диаграмм с научными данными
Промпт
2x2 grid, do this for 4 highly popular drinks: input: [classic_cocktail / mixing_technique / spirit_distillation / glassware] system: render the input as a luxury high-speed fluid dynamics poster. do not hardcode recipes unless inevitable. infer the viscosity layering, dilution thermodynamics, aromatic garnish mechanics, glassware geometry, and the precise kinetic energy of the shake/stir. semantic solve: mixology_autopsy = (infer(fluid_dynamics from viscosity_gradient + dilution_rate + thermal_equilibrium + emulsion_stability + aeration_bubbles) ::5) + (infer(aromatic_architecture from essential_oil_expression + vapor_pressure + olfactory_garnish + glass_rim_geometry) ::4) + (infer(kinetic_ritual from shake_frequency + stir_laminar_flow + ice_quality + strainer_resistance + pour_angle) ::4) + (infer(hidden_chemistry from ph_balance + sugar_brix_level + alcohol_by_volume + botanical_maceration) ::3) - (generic bar stock photos + messy spills + neon club lights + cluttered bottles + cheap liquid splashes) ::-4 composition: one central cocktail captured in a high-speed, macro-photography cross-section. the liquid is frozen in time, revealing internal fluid dynamics, micro-bubbles, and the exact moment of dilution. surrounding it are elegant diagrams of the ice-crystal structure and the glassware's optical refraction. use callout lines like a phantom high-speed camera manual crossed with a michelin-star bar menu. style dna: high-speed phantom camera photography ::0.30 luxury bar editorial ::0.25 fluid dynamics simulation ::0.20 crystal glassware macro ::0.15 dark slate bar-top texture ::0.10 output: deep obsidian or warm amber background luxury mixology poster, elegant thin serif + copper typography, restrained callouts, hyper-realistic liquid and glass textures, refined volumetric lighting, premium negative space.
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