
Retro Pixel Industrial Travel Archive
A creative prompt that deconstructs travel photos into pixel art sprites and data indices, presented within a 1980s-style computer software interface.
これはグラフィック&ポスター向けの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? グラフィック&ポスター 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
Please turn each uploaded travel photo into a separate 3:4 vertical "Retro Pixel Industrial Travel Archive" editorial poster. Each photo is output individually, without multi-photo collages. This style is not about directly pixelating the entire photo, nor is it about putting a generic computer frame on the photo. You must first extract 3 to 7 real objects that define the scene's identity from the original photo, then transform them into pixel sprites, local previews, data indices, and structural slices, and reassemble them into a fully functioning old computer software interface. The top portion, about 30% to 38% of the screen, retains the clearly recognizable original photo. Accurately maintain the identity of the subject, architectural structure, quantity, observation angle, spatial relationship, real texture, natural light and shadow, and local colors. Only apply slight artistic publication color grading and thin film grain treatment; do not illustrate, reconstruct, or change the original photo. Below the photo, maintain a 7% to 10% charcoal black or dark olive "breathing zone", in which a readable pixel title of 1 to 4 English words is added. The title should come from the actual structure or theme of the photo, for example: HEAVEN AXIS ROOF SYSTEM LAKE PAVILION CANAL OBJECTS The lower part, about 50% to 60% of the screen, constructs a complete late 1980s to early 1990s graphic workstation software interface. The primary background color must be a visible deep forest green, dark cyan-green, or faded olive green, not pure black. The computer area must simultaneously feature: 1. A complete main application window occupying the primary area below; 2. A narrow frame in old ivory or tobacco gold; 3. A system menu bar spanning the top of the entire application; 4. Menu text used verbatim: FILE EDIT VIEW DATA TOOLS WINDOW HELP 5. At least one selected menu; 6. An expanded drop-down menu directly connected to the selected menu; 7. Drop-down menu options can include: IMPORT… EXPORT… LAYERS… FILTER… COLOR MAP STATISTICS… PRINT… 8. At least three overlapping functional sub-windows; 9. Each sub-window has a title bar, close button, and specific function; 10. At least one window has clear scroll bars, arrow buttons, and sliders; 11. At least one object index, color palette, histogram, or status window. Analyze the photo first and list objects that can be separated. For example: Traditional architecture photos: Main roof, secondary roof, dougong color bands, gable walls, steps, railings, red walls. Garden photos: Pavilions, rocks, lake shores, cruise boats, branches, roof fragments. Water town photos: Stone bridges, wooden houses by the water, balconies, tiled roofs, water surface, reflections, shorelines. People or transportation photos: People, vehicles, roads, building facades, landmarks, and direction of action. Convert these real elements into low-resolution pixel sprites or structural modules. Retain the silhouette, direction, quantity, and signature colors of the objects, but remove tiny textures. Re-adjust the size and position of the objects in the central workspace: the main object can be enlarged to become a visual anchor, and other objects are arranged around it like movable layers. Do not follow the original...
Best for
- - グラフィック&ポスター 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。





