
Winter City Isometric Diorama
A highly detailed prompt for creating realistic isometric miniature dioramas of cities in winter, featuring accurate layouts and architectural model aesthetics.
これは風景と自然向けのGPT Image 2プロンプトケースです。以下のコピー可能なプロンプトを使用して同様のビジュアルを生成し、再利用する前にAwesome GPT Image 2 Prompts帰属表示と商用利用権を確認してください。
プロンプトセット全体が必要ですか? 風景と自然 関連する例をもっと見るにはトピックハブを開くか、 GPT Image 2 プロンプトカタログ 完全な例の索引、再利用可能な構造、および出典の明記については、こちらをご覧ください。
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プロンプト
コピー準備完了プロンプト
Ultra-detailed photorealistic isometric miniature scale-model diorama of {argument name="city" default="[CITY]"}, presented as a thin flat square tile resting on a pure off-white seamless studio background. The tile is a clean, precisely cut square slab with straight vertical edges revealing a thin band of dark wood/earth material along the sides — like a professionally built architectural model mounted on a display base. The tile is rotated so it reads as a diamond in perspective, viewed from a high isometric angle of roughly 45–50° looking down, with the front corner of the slab pointing toward the lower part of the frame.\n\nThe entire top surface is filled edge to edge with a meticulously accurate miniature recreation of {argument name="city" default="[CITY]"} in winter: the actual street grid and road layout, real residential blocks with authentic local architecture, historic buildings, recognizable landmarks in their true relative positions and realistic scale, plazas, parks, tree-lined boulevards, rivers or coastline if applicable, bridges, major stadiums or arenas, and surrounding urban details.\n\nCreate a beautiful realistic winter transformation while preserving the city's authentic identity. Cover rooftops, sidewalks, parks, trees, bridges, streets, and architectural surfaces with natural layers of fresh white snow. Show subtle snow accumulation on building ledges, rooftops, parked vehicles, street lamps, trees, railings, and road edges. Keep roads partially cleared and visibly usable, with realistic tire tracks and patches of exposed asphalt. Water should remain naturally visible where applicable, with subtle winter reflections or thin ice only where geographically appropriate.\n\nInclude dense micro-detail: individual parked cars dusted with snow, moving traffic, buses, tiny pedestrians wearing winter clothing, street lamps, awnings, rooftop HVAC units, construction cranes, parking lots with rows of snow-covered cars, boats in water if applicable, realistic snowbanks, footprints, road markings, crosswalks, traffic signals, benches, signs, and tiny urban objects. Every tree is individually modeled with realistic snow-covered branches.\n\nThe city's most recognizable landmarks must remain immediately identifiable and geographically accurate. Do not exaggerate landmark size or alter their architecture. Preserve realistic proportions, street relationships, building density, geography, and urban layout.\n\nRendering style: hyper-realistic tilt-shift miniature photography look — extremely sharp, high resolution, everything in focus across the whole tile, no blur. Bright, soft, even cool winter daylight studio lighting from above with gentle diffuse shadows, no harsh contrast, no dramatic side lighting. Natural winter color palette with clean white snow, subtle blue-grey atmospheric tones, realistic brick, stone, glass, terracotta, dark asphalt, evergreen trees, and naturally colored buildings. Premium architectural model photography.プロンプト変数
プロンプトに表示される編集可能な引数プレースホルダーと、それらのデフォルト値。
変数
city
デフォルト
[CITY]
Best for
- - 風景と自然 visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: 画像から画像
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
Awesome GPT Image 2 Promptsからインポートされました。出典の明記が必要です。商用利用の可否はallowedです。有料利用の前に、出典元の権利をご確認ください。
このカテゴリーのその他の事例
カテゴリー、入力モードの互換性、品質、およびリスクの低さに基づいて優先順位付けされています。
再利用と出典に関する注記
ケースを事前に確認してから、このプロンプトを安全に使用してください。
- 1.プロンプトをコピーするか、生成ボタンを使ってDovooで直接開いてください。
- 2.ご自身の用途に合わせて、変数、アスペクト比、および参照画像を調整してください。
- 3.公開または有料利用の前に、情報源の権利、帰属表示の要件、およびブランドまたは肖像権に関するリスクを確認してください。





