プロンプト/GPT Image プロンプト/プロンプトの詳細画像プロンプトインフラのタイポグラフィ建築リアルな都市インフラと交通システムから構築された、記念碑的なタイポグラフィを制作するための技術的な建築プロンプト。このプロンプトを使ういいね12表示607ブックマーク5次回も簡単に見つけられるよう、このプロンプトを保存または共有してくださいプロンプトを共有プロンプトコピー2x2 grid, 16:9, do this for 4 tourist cities: input = [{argument name="location" default="city"} + {argument name="infrastructure type" default="infrastructure system"} + environment + {argument name="style" default="optional style"}] run infrastructural_typography_extraction: text_content := parse word_or_place word_identity := infer whether text is a city, brand, concept, landmark, district, event, or fictional place font_personality := infer heavy, elegant, brutalist, futuristic, coastal, industrial, organic, luxury, playful, or monumental letter style infrastructure_dna := infer visual grammar of infrastructure_system network_behavior := infer flow, looping, branching, stacking, crossing, tunneling, ramping, glowing, routing, or circulation logic letter_mapping := map infrastructure onto each glyph’s stems, bowls, counters, diagonals, curves, crossbars, and terminals material_system := infer realistic construction materials light_system := infer city lights, traffic trails, signage glow, window grids, reflections, or ambient illumination environment_logic := infer surrounding urban/landscape context scale_anchors := infer vehicles, people, trees, buildings, waterways, or transit elements camera := infer cinematic aerial, street-level, drone, tilt-shift, or architectural visualization view render: a readable monumental word built from the inferred infrastructure system. constraints: - no fixed city - no fixed road system - no copied composition - no random transport spaghetti - infrastructure must physically construct the typography - word remains readable at thumbnail scaleプロンプトを表示
