SCHEMA为谷歌Gemini图像模型提供可控生成框架，提升专业级图像输出质量与一致性。
SCHEMA for Gemini 3 Pro Image: A Structured Methodology for Controlled AI Image Generation on Google's Native Multimodal Model
- 分三级控制体系（基础到高级），实现从探索到精准指令的渐进式调控。
- 结构化提示使强制性规则遵守率达91%，禁止项遵守率达94%，跨批次生成更一致。
- 适用于广告、信息设计等6大专业领域，适合追求高可控性的从业者使用。
本文提出SCHEMA（结构化组件协同工程模块架构），一种专为谷歌Gemini 3 Pro Image设计的结构化提示工程方法。不同于通用提示指南或模型无关技巧，SCHEMA基于850次经验证的API预测和约4,800张生成图像的实证数据，覆盖房地产摄影、商业产品摄影、编辑内容、故事板、商业推广及信息设计六大专业领域。该方法包含三级渐进控制系统（BASE、MEDIO、AVANZATO），实现从约5%到95%的控制度提升；采用7个核心+5个可选的模块化标签架构；内置带明确路由规则的决策树以切换至其他工具；并系统记录模型局限性及其对应解决方案。关键结果包括：621条结构化提示中强制性规则遵守率达91%，禁止项遵守率达94%；对比实验显示结构化提示在批次间一致性上显著更优；独立实践者验证（n=40）支持其有效性；信息设计专项验证表明，在约300个可公开验证的信息图中，首生成空间与排版控制符合率超过95%。此前已发布于Zenodo（doi:10.5281/zenodo.18721380）。
原文摘要 · Abstract (English)
This paper presents SCHEMA (Structured Components for Harmonized Engineered Modular Architecture), a structured prompt engineering methodology specifically developed for Google Gemini 3 Pro Image. Unlike generic prompt guidelines or model-agnostic tips, SCHEMA is an engineered framework built on systematic professional practice encompassing 850 verified API predictions within an estimated corpus of approximately 4,800 generated images, spanning six professional domains: real estate photography, commercial product photography, editorial content, storyboards, commercial campaigns, and information design. The methodology introduces a three-tier progressive system (BASE, MEDIO, AVANZATO) that scales practitioner control from exploratory (approximately 5%) to directive (approximately 95%), a modular label architecture with 7 core and 5 optional structured components, a decision tree with explicit routing rules to alternative tools, and systematically documented model limitations with corresponding workarounds. Key findings include an observed 91% Mandatory compliance rate and 94% Prohibitions compliance rate across 621 structured prompts, a comparative batch consistency test demonstrating substantially higher inter-generation coherence for structured prompts, independent practitioner validation (n=40), and a dedicated Information Design validation demonstrating >95% first-generation compliance for spatial and typographical control across approximately 300 publicly verifiable infographics. Previously published on Zenodo (doi:10.5281/zenodo.18721380).
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