
Isometric Voxel River Temple City
A detailed prompt for generating a charming isometric voxel diorama of an ancient stepped temple complex, riverfront, market stalls, boats, and ceremonial pool.
To jest przykładowy przykład GPT Image 2 dla Anime i gry . Skorzystaj z poniższego przykładu gotowego do skopiowania, aby wygenerować podobne materiały wizualne i sprawdź atrybucję Awesome GPT Image 2 Prompts oraz prawa do użytku komercyjnego przed ponownym wykorzystaniem.
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Opis
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Create a detailed isometric voxel diorama of an ancient stepped temple complex beside a river, rendered like a miniature block-built game scene on a rectangular base. The setting should feel like {argument name="civilization style" default="an ancient Mesopotamian or Mesoamerican river temple city"}, with warm tan stone, terracotta roofs, carved columns, and symmetrical ceremonial architecture.
Canvas: Wide 4:3 composition, orthographic isometric view from above, centered on a floating rectangular terrain slab against a plain warm beige background. Use soft studio lighting, ambient occlusion, gentle shadows, and a polished low-poly voxel aesthetic.
Main layout: Place one large central stepped ziggurat temple slightly left of center, with many stacked terraces, vertical column-like details, a flat pale roof, and small golden ornaments along the top. In front of it, add a lower entrance platform with columns and stairs. To the right of the main temple, include one smaller stepped temple shrine; behind it, include one even smaller tower shrine near trees. On the left foreground, create a rectangular ceremonial pool with bright blue water, stone edging, and tiered steps around it. Along the entire front edge, create a broad turquoise river with tiled water texture and a stone promenade with stairs descending to the water.
Counted visible elements: exactly 3 stepped temple structures: 1 large central ziggurat, 1 medium front-right ziggurat, and 1 small rear-right shrine tower. Exactly 1 rectangular pool. Exactly 2 small wooden boats on the river, each with a tiny mast or pole. Exactly 5 terracotta-roofed rectangular buildings or market stalls around the plaza: 2 long buildings on the left side, 2 buildings on the right side, and 1 small building in the front-left area. Exactly 4 striped canopy market stalls in the plaza: 1 blue-and-white canopy, 1 teal-and-white canopy, 1 red-and-white canopy, and 1 yellow-and-white canopy. Exactly 5 palm trees distributed around the complex, plus exactly 4 broad leafy green trees. Add scattered tiny voxel people, small benches, planters, reeds, crates, and decorative posts, but keep them secondary.
Visual style: Charming voxel art, crisp block geometry, tiny modular bricks, warm earthy palette of sand, clay, ochre, cream stone, muted green vegetation, and bright cyan water. The temple should be majestic but toy-like, with no photorealistic textures, no outlines, and no text. Emphasize the {argument name="mood" default="lowkey beautiful peaceful miniature world"} feeling, with clean composition and high detail.Zmienne monitujące
Edytowalne symbole zastępcze argumentów znalezione w monicie, wraz z ich wartościami domyślnymi.
Best for
- - Anime i gry 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: Tekst na obraz
- - 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.
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