Batch ingest: Multi-Agent Team / DevOps Maturity / 一语点醒梦中人 / NodeWarden
Sources: - Agent-usecases-multi-Agent-Team.md - DevOps-Maturity-Model-From-Traditional-IT-to-Advanced-DevOps.md - AI-一语点醒梦中人.md - Home-Office-NodeWarden-把-Bitwarden-搬上-Cloudflare-Workers彻底告别服务器.md Entities: Trebuh, Cloudflare Concepts: DevOps成熟度模型, 共享内存模式, 空性智慧, 绝处逢生
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title: "Nano Banana 提示词框架"
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type: source
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tags: [AI提示词, AI生图, Google]
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date: 2026-03-15
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---
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## Source File
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- raw/AI/Nano Banana 提示词框架.md
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## Summary
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- 核心主题:Google Nano Banana 图像生成提示词的结构化框架
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- 问题域:如何精确描述视觉内容以获得高质量 AI 生成图像
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- 方法/机制:Shot/Subject/Environment/Lighting/Camera/ColorGrade/Style/Quality/Negatives 9 层结构化字段
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- 结论/价值:将主观审美转化为机器可精确执行的结构化参数,降低 AI 生成不确定性
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## Key Claims
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- 物件描述与人物描述共用同一框架结构,仅 subject 字段内容不同
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- negatives(负向提示词)是质量控制的关键字段,必须明确排除不需要的特征
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- camera 字段(焦距/光圈/角度)提供电影级构图控制能力
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## Key Quotes
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> "Studio softbox lighting. A key light from the top-left creates clean, sharp reflections on the steel." — 硬光实例
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> "High contrast, clean and commercial look. Slightly desaturated to emphasize the metallic and monochrome textures." — 色调实例
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## Key Concepts
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- [[Nano Banana]]:Google 发布的结构化图像提示词框架,通过 9 个标准化字段将创意描述转化为机器可执行参数
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- [[Prompt工程]]:将主观创意转化为结构化提示词的过程,Nano Banana 是其具体实现
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- [[负向提示词]](Negatives):明确告知 AI 不应生成的内容,用于消除图像缺陷
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## Key Entities
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- [[Google]]:Nano Banana 框架的发布方
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## Connections
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- [[Nano Banana]] ← 应用于 ← [[AI生图]]
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- [[Prompt工程]] ← 支撑 ← [[Nano Banana]]
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## Contradictions
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