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GoodCase.ai · AI Prompt Case Collection
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老屋微缩模型提示词

老屋微缩模型提示词

Creator · MrGafish

AI ImageX2026-10-09Added 10/11/2026Source verifiedGPT Image 2.5
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Source ♥ 473

Prompt

参考上传的老房子照片,以1:24比例精准复刻为博物馆级超写实实体微缩模型,严格还原建筑结构、屋顶、门窗、墙体及原始环境。精细呈现斑驳墙皮、风化砖瓦、裂缝、青苔、灰尘等岁月痕迹,材质真实自然,具有极致手工制作质感。模型置于精致的矩形沙盘底座上,45度俯视三分之四视角,完整展示建筑全貌。专业微距摄影,柔和自然光,真实阴影,中性灰摄影棚背景,8K超高清。强调真实实体模型效果,避免塑料玩具感、卡通感及3D渲染感。
≡Provenance · verifiedPublished prompts are human-checked against the original post; platform-reconstructed prompts are not accepted.Compare with source ↗

Models & stability

Recommended models

GPT Image 2.5
Stability
Cost
Medium

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Isometric Miniature Model Poster
AI ImageXAdded 08/30/2026

Isometric Miniature Model Poster

A creative prompt that transforms the subject of a photo into a refined isometric miniature model or architectural maquette, presented as a curated artwork on a paper background.

Skill · Poster information hierarchy

Prompt

Please turn each photo I upload into a separate premium design poster. Do not create multi-image collages; output each photo separately. Use an overall 3:4 vertical composition, with the upper and lower sections in a strict 1:1 height ratio

Source heat · X
90
Stability
49
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物体转建筑提示词
AI ImageXAdded 10/20/2026

物体转建筑提示词

为 Nano Banana Pro 设计的逻辑工作流提示词,用于分析随机物体并基于体量与结构将其转化为合理的标志性建筑。

Prompt

Turning random objects into buildings. 2x2 grid, do this for 4 different random objects. Concept: Turn objects into a landmark building that could exist. 1. ANALYZE INPUT (Massin

Source heat · X
0
Stability
87
View case →
Luxury Product Cluster Master Prompt
AI ImageXAdded 07/28/2026

Luxury Product Cluster Master Prompt

A refined master prompt designed to render multiple products as a dense, high-end 3D cluster with realistic textures.

Skill · Product studio visual

Prompt

Extreme close-up, highly detailed Blender + Octane render of the attached product images arranged as a {argument name="composition style" default="dense, overlapping 3D floating cl

Source heat · X
11
Stability
68
View case →

Each detail page keeps the original result, the prompt, and retest evidence in one reading path.