
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.
Ini adalah contoh kasus GPT Image 2 untuk Grafis & Poster . Gunakan contoh siap salin di bawah ini untuk menghasilkan visual serupa, dan tinjau atribusi Awesome GPT Image 2 Prompts serta hak penggunaan komersial sebelum digunakan kembali.
Free 1K preview
Generate one preview image instantly, no sign-up required.
Free text preview doesn’t preserve reference-image consistency.
Mengingatkan
Prompt siap salin
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
- - Grafis & Poster 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: Gambar ke Gambar
- - 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.
Lebih banyak kasus dalam kategori ini
Diprioritaskan berdasarkan kategori, kompatibilitas mode input, kualitas, dan risiko yang lebih rendah.






Catatan penggunaan kembali dan sumber
Gunakan perintah ini dengan aman setelah melihat pratinjau kasus.
- 1.Salin perintah tersebut atau buka langsung di Dovoo dengan tombol pembuatan.
- 2.Sesuaikan variabel, rasio aspek, dan gambar referensi untuk kebutuhan Anda sendiri.
- 3.Sebelum mempublikasikan atau menggunakan untuk tujuan berbayar, verifikasi hak sumber, persyaratan atribusi, dan risiko merek atau citra.