ai-image-generation
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ChineseAI Image Generation
AI图像生成
This is the core execution skill for AI image generation. It handles the actual generation work — model selection, prompt construction, API calls, iteration, and quality verification.
Use this skill when: You need to generate any image and want optimal quality.
Route here from: ai-creative-workflow, ai-creative-strategist, or direct requests.
这是AI图像生成的核心执行技能,负责处理实际的生成工作——模型选择、提示词构建、API调用、迭代以及质量验证。
使用此技能的场景: 你需要生成任何图像并追求最优质量时。
来源路由: ai-creative-workflow、ai-creative-strategist,或直接请求。
Why This Skill Exists
此技能的存在意义
The problem: Most people waste time and money on AI image generation because they:
- Use the wrong model for the job
- Write vague prompts that produce generic results
- Generate once and hope for the best
- Don't know how to iterate effectively
The solution: A systematic approach that:
- Uses the right model (Nano Banana Pro via Glif for speed + quality)
- Constructs prompts with proven structure
- Builds in iteration as the default workflow
- Knows when to stop and when to keep refining
现存问题: 大多数人在AI图像生成上浪费时间和金钱,因为他们:
- 针对任务使用了错误的模型
- 撰写的提示词模糊,导致结果千篇一律
- 只生成一次就寄希望于得到最佳结果
- 不知道如何有效迭代
解决方案: 一套系统化的方法,包括:
- 使用合适的模型(通过Glif调用Nano Banana Pro,兼顾速度与质量)
- 采用经过验证的结构构建提示词
- 将迭代作为默认工作流程
- 明确何时停止迭代、何时继续优化
Model Selection
模型选择
Primary: Nano Banana Pro via Glif (DEFAULT)
首选:通过Glif调用Nano Banana Pro(默认)
Why: Fastest high-quality generation available. ~20 seconds vs ~3 minutes for comparable quality.
| Model | Glif ID | Speed | Quality |
|---|---|---|---|
| 🍌 Nano Banana Pro Text 2 Image | | ~20sec | Excellent |
Use the MCP tool:
run_glifGlif: 🍌 Nano Banana Pro Text 2 Image
ID: cmi7ne4p40000kz04yup2nxgh
Inputs: ["Your prompt here"]Do NOT use: imagen-3, DALL-E, Flux, or direct Replicate API calls unless specifically requested.
原因: 目前最快的高质量生成工具。相比同等质量的其他工具,耗时约20秒,而后者需要约3分钟。
| 模型 | Glif ID | 速度 | 质量 |
|---|---|---|---|
| 🍌 Nano Banana Pro Text 2 Image | | ~20秒 | 极佳 |
使用 MCP工具:
run_glifGlif: 🍌 Nano Banana Pro Text 2 Image
ID: cmi7ne4p40000kz04yup2nxgh
Inputs: ["Your prompt here"]禁止使用: imagen-3、DALL-E、Flux,或直接调用Replicate API,除非有明确要求。
When to Use Alternatives
何时使用替代模型
IF user specifically requests a different model:
use requested model
ELIF need text rendering (logos, quotes, announcements):
use Recraft v3 or Ideogram v3 (route to ai-typography)
ELIF need image-to-video:
generate image first, then route to ai-video-generation
ELIF need people/lifestyle imagery:
still use Nano Banana Pro (handles people well)
ELSE:
Nano Banana Pro via Glif // DEFAULT如果用户明确要求使用其他模型:
使用用户指定的模型
否则如果需要文字渲染(标志、引语、公告):
使用Recraft v3或Ideogram v3(路由至ai-typography)
否则如果需要图像转视频:
先生成图像,再路由至ai-video-generation
否则如果需要人物/生活方式图像:
仍使用Nano Banana Pro(它能很好地处理人物内容)
否则:
通过Glif调用Nano Banana Pro // 默认选项Prompt Construction
提示词构建
The Formula
公式
[SUBJECT] + [SETTING/CONTEXT] + [STYLE] + [LIGHTING] + [QUALITY BOOSTERS]Each element serves a purpose:
- SUBJECT — What you're generating (be specific)
- SETTING — Where/context (grounds the image)
- STYLE — Visual aesthetic (photography, illustration, etc.)
- LIGHTING — Mood and dimension (often overlooked, always important)
- QUALITY BOOSTERS — Technical terms that elevate output
[主体] + [场景/背景] + [风格] + [光线] + [质量增强词]每个元素都有其作用:
- 主体 — 你要生成的内容(越具体越好)
- 场景 — 地点/背景(让图像更有代入感)
- 风格 — 视觉美学(摄影、插画等)
- 光线 — 氛围与立体感(常被忽略,但始终很重要)
- 质量增强词 — 提升输出质量的专业术语
Subject Specificity
主体描述的具体性
Bad: "A coffee cup"
Good: "Artisan ceramic coffee cup with latte art, steam rising"
Bad: "A laptop"
Good: "Silver MacBook Pro on oak desk, screen showing code editor"
Bad: "A person working"
Good: "Woman in her 30s, focused expression, typing on laptop in bright modern office"
The more specific your subject, the less the model has to guess.
不佳示例: "一个咖啡杯"
优秀示例: "带有拉花的手工陶瓷咖啡杯,冒着热气"
不佳示例: "一台笔记本电脑"
优秀示例: "橡木桌上的银色MacBook Pro,屏幕显示代码编辑器"
不佳示例: "一个工作的人"
优秀示例: "30多岁的女性,神情专注,在明亮的现代化办公室里敲击笔记本电脑"
主体描述越具体,模型需要猜测的内容就越少。
Setting/Context Options
场景/背景选项
Studio/Clean:
on pure white background
against dark charcoal gradient
floating in negative space
on seamless backdropEnvironmental:
in modern minimalist office
on rustic wooden table
in cozy coffee shop
against urban cityscapeAbstract:
with geometric patterns
surrounded by abstract shapes
with dynamic particle effects
in surreal dreamscape工作室/简洁风格:
纯白色背景
深炭灰色渐变背景
悬浮在负空间中
无缝背景环境风格:
现代化极简办公室
质朴木桌
温馨咖啡馆
城市天际线背景抽象风格:
带有几何图案
被抽象形状环绕
带有动态粒子效果
超现实梦境场景Style Presets
风格预设
Photography Styles:
professional product photography
lifestyle photography
editorial fashion photography
documentary photography style
portrait photography
macro photography
aerial/drone photographyIllustration Styles:
digital illustration
watercolor illustration
vector art style
hand-drawn sketch style
3D rendered
isometric illustration
flat designArtistic Styles:
cinematic
surrealist
minimalist
maximalist
retro/vintage
futuristic
organic/natural摄影风格:
专业产品摄影
生活方式摄影
时尚编辑摄影
纪实摄影风格
人像摄影
微距摄影
航拍/无人机摄影插画风格:
数字插画
水彩插画
矢量艺术风格
手绘草图风格
3D渲染
等距插画
扁平化设计艺术风格:
电影感
超现实主义
极简主义
极繁主义
复古/怀旧
未来主义
有机/自然风格Lighting Presets
光线预设
Lighting is the most underused prompt element. It dramatically affects mood and quality.
Studio Lighting:
professional studio lighting
three-point lighting setup
single dramatic spotlight
soft diffused lighting
rim lightingNatural Lighting:
soft natural daylight
golden hour light
overcast diffused light
harsh midday sun
blue hourDramatic Lighting:
high contrast dramatic lighting
moody low-key lighting
backlit silhouette
chiaroscuro lighting
neon accent lightingSpecific Directions:
key light from upper left
side lighting from right
overhead soft box
underlighting (dramatic)光线是最被低估的提示词元素,它会极大地影响图像的氛围和质量。
工作室光线:
专业工作室灯光
三点布光设置
单一戏剧性聚光灯
柔和漫射光
轮廓光自然光:
柔和自然日光
黄金时段光线
阴天漫射光
正午强烈阳光
蓝色时段光线戏剧性光线:
高对比度戏剧性光线
低对比度氛围感光线
逆光剪影
明暗对比光线
霓虹装饰光特定方向:
主光源来自左上方
侧光源来自右侧
顶部柔光箱
底部打光(戏剧性效果)Quality Boosters
质量增强词
Add these to elevate output quality:
Technical Quality:
ultra-detailed
high resolution
sharp focus
professional quality
8k resolutionProfessional Context:
commercial photography
award-winning
magazine quality
advertising campaign
editorial qualitySpecific Techniques:
shallow depth of field
bokeh background
lens flare
motion blur
long exposure添加这些词汇可以提升输出质量:
技术质量:
超细节
高分辨率
清晰对焦
专业品质
8K分辨率专业场景:
商业摄影
获奖作品
杂志级品质
广告宣传
编辑级品质特定技巧:
浅景深
背景虚化
镜头光晕
运动模糊
长曝光Complete Prompt Examples
完整提示词示例
Product Hero Shot
产品主图
Premium wireless headphones floating against dark charcoal gradient,
professional product photography, single dramatic spotlight from upper left,
subtle rim lighting on edges, metallic surface reflections,
ultra-detailed, commercial advertising quality, negative space on right for text高级无线耳机悬浮在深炭灰色渐变背景中,
专业产品摄影,左上方单一戏剧性聚光灯,
边缘带有微妙的轮廓光,金属表面反射效果,
超细节,商业广告品质,右侧留有负空间用于添加文字Lifestyle Scene
生活场景
Young professional woman enjoying morning coffee in bright modern apartment,
natural window light streaming in, cozy weekend aesthetic,
lifestyle photography, warm tones, genuine relaxed expression,
shallow depth of field, editorial quality年轻职业女性在明亮的现代化公寓里享用晨间咖啡,
自然窗光洒入,温馨周末氛围,
生活方式摄影,暖色调,自然放松的表情,
浅景深,编辑级品质Food Photography
美食摄影
Gourmet burger with melted cheese and fresh vegetables on rustic wooden board,
professional food photography, soft diffused overhead lighting,
steam rising, appetizing presentation, shallow depth of field,
restaurant menu quality, warm inviting tones配有融化芝士和新鲜蔬菜的 gourmet 汉堡放在质朴木板上,
专业美食摄影,柔和漫射顶光,
冒着热气,诱人呈现,浅景深,
餐厅菜单级品质,温暖诱人的色调Tech/SaaS
科技/SaaS
Modern dashboard interface on large monitor in minimalist home office,
clean UI design visible on screen, soft ambient lighting,
tech product photography, contemporary workspace aesthetic,
shallow depth of field on screen, professional quality极简家庭办公室里的大显示器上显示现代化仪表盘界面,
屏幕上可见简洁的UI设计,柔和环境光,
科技产品摄影,当代工作空间美学,
屏幕部分浅景深,专业品质Abstract/Conceptual
抽象/概念
Abstract representation of data flow and connectivity,
glowing particles forming network patterns against deep blue gradient,
futuristic technology aesthetic, dynamic motion blur,
cinematic quality, vibrant cyan and purple accent colors数据流与连接性的抽象表现,
发光粒子在深蓝色渐变背景上形成网络图案,
未来科技美学,动态运动模糊,
电影级品质,鲜艳的青色和紫色强调色Aspect Ratio Guide
宽高比指南
| Use Case | Ratio | Pixels | Notes |
|---|---|---|---|
| Square (Instagram, LinkedIn) | 1:1 | 1024×1024 | Most versatile |
| Landscape (Hero banners, YouTube) | 16:9 | 1280×720 | Web standard |
| Portrait tall (Instagram feed) | 4:5 | 1024×1280 | Better feed presence |
| Stories/TikTok | 9:16 | 1080×1920 | Vertical mobile |
| 2:3 | 1000×1500 | Optimal for pins | |
| Wide cinematic | 21:9 | 2560×1080 | Dramatic headers |
Default: 1:1 unless platform-specific requirement is known.
| 使用场景 | 比例 | 像素 | 说明 |
|---|---|---|---|
| 正方形(Instagram、LinkedIn) | 1:1 | 1024×1024 | 最通用 |
| 横版(首页横幅、YouTube) | 16:9 | 1280×720 | 网页标准 |
| 竖版(Instagram动态) | 4:5 | 1024×1280 | 动态展示效果更好 |
| 故事/TikTok | 9:16 | 1080×1920 | 移动端竖版 |
| 2:3 | 1000×1500 | 针图最优比例 | |
| 宽屏电影感 | 21:9 | 2560×1080 | 戏剧性页眉 |
默认: 1:1,除非已知有特定平台要求。
Execution Workflow
执行流程
Step 1: Clarify Requirements
步骤1:明确需求
Before generating, know:
□ What is the subject? (be specific)
□ What style/aesthetic?
□ What platform/use case?
□ What aspect ratio?
□ Any must-have elements?
□ Any must-avoid elements?生成前,需确认:
□ 主体是什么?(要具体)
□ 风格/美学方向?
□ 平台/使用场景?
□ 宽高比?
□ 必须包含的元素?
□ 必须避免的元素?Step 2: Construct Prompt
步骤2:构建提示词
Use the formula:
[SUBJECT] + [SETTING] + [STYLE] + [LIGHTING] + [QUALITY BOOSTERS]使用公式:
[主体] + [场景] + [风格] + [光线] + [质量增强词]Step 3: Generate First Draft
步骤3:生成初稿
Glif: 🍌 Nano Banana Pro Text 2 Image
ID: cmi7ne4p40000kz04yup2nxgh
Inputs: ["[constructed prompt]"]Glif: 🍌 Nano Banana Pro Text 2 Image
ID: cmi7ne4p40000kz04yup2nxgh
Inputs: ["[构建好的提示词]"]Step 4: Present for Feedback
步骤4:提交反馈
markdown
undefinedmarkdown
undefinedImage Generated
生成的图像
Prompt: [prompt used]
Aspect Ratio: [ratio]
Image URL: [URL]
Quick Assessment:
- Subject accuracy: ✓/✗
- Style match: ✓/✗
- Composition: ✓/✗
- Quality: ✓/✗
Feedback?
- What works?
- What should change?
- Ready to approve or iterate?
undefined提示词: [使用的提示词]
宽高比: [比例]
图像链接: [URL]
快速评估:
- 主体准确性: ✓/✗
- 风格匹配度: ✓/✗
- 构图: ✓/✗
- 质量: ✓/✗
反馈?
- 哪些部分符合要求?
- 需要修改哪些部分?
- 准备批准还是继续迭代?
undefinedStep 5: Iterate Based on Feedback
步骤5:根据反馈迭代
Common iteration patterns:
"Too dark" → Add "bright" "well-lit" "high key lighting"
"Too busy" → Add "minimal" "clean" "simple composition"
"Wrong style" → Be more explicit about style reference
"Missing element" → Add specific element to prompt
"Wrong mood" → Adjust lighting and color descriptors常见迭代模式:
“太暗” → 添加“明亮”“光线充足”“高调光线”
“太杂乱” → 添加“极简”“简洁”“构图简洁”
“风格错误” → 更明确地说明风格参考
“缺少元素” → 在提示词中添加特定元素
“氛围错误” → 调整光线和颜色描述词Step 6: Approve or Continue
步骤6:批准或继续
- If approved → Deliver final image
- If needs changes → Return to Step 5
- If fundamentally wrong → Return to Step 2 with new prompt approach
- 如果批准 → 交付最终图像
- 如果需要修改 → 返回步骤5
- 如果完全不符合预期 → 返回步骤2,重新构建提示词
Iteration Strategies
迭代策略
When It's Close But Not Right
接近预期但仍有不足
Problem: Almost right but something's off
Strategy: Make targeted prompt adjustments
Original: "Coffee cup on table"
Iteration 1: "Coffee cup on table, warmer tones" (if too cool)
Iteration 2: "Coffee cup on table, warmer tones, more steam" (if missing element)问题: 几乎符合预期,但有些地方不对
策略: 针对性调整提示词
原始提示词:“桌上的咖啡杯”
迭代1:“桌上的咖啡杯,暖色调”(如果原图像色调过冷)
迭代2:“桌上的咖啡杯,暖色调,更多蒸汽”(如果缺少蒸汽元素)When It's Completely Wrong
完全不符合预期
Problem: Output doesn't match intent at all
Strategy: Rewrite prompt from scratch with more specificity
Don't iterate on a bad foundation. Start fresh with better prompt construction.
问题: 输出完全不符合意图
策略: 从零开始重写提示词,增加具体性
不要在糟糕的基础上迭代。重新开始,构建更优质的提示词。
When Quality Is Low
质量低下
Problem: Image looks AI-generated or low quality
Strategy: Add quality boosters and professional context
Add: "ultra-detailed, professional photography, commercial quality"
Add: "8k resolution, sharp focus, magazine quality"问题: 图像看起来像AI生成的,或质量低下
策略: 添加质量增强词和专业场景描述
添加:“专业摄影,超细节”
添加:“8K分辨率,清晰对焦,杂志级品质”When Composition Is Wrong
构图错误
Problem: Elements in wrong places, bad framing
Strategy: Be explicit about composition
Add: "subject centered in frame"
Add: "negative space on left for text"
Add: "rule of thirds composition"
Add: "close-up shot" or "wide establishing shot"问题: 元素位置错误,构图糟糕
策略: 明确说明构图要求
添加:“主体位于画面中心”
添加:“左侧留有负空间用于添加文字”
添加:“三分法构图”
添加:“特写镜头”或“广角全景镜头”Quality Checklist
质量检查清单
Before delivering, verify:
交付前,需验证:
Technical Quality
技术质量
- Resolution is sufficient for intended use
- No obvious AI artifacts (weird fingers, melted text, etc.)
- Sharp focus on main subject
- Appropriate for intended platform
- 分辨率符合预期使用场景
- 无明显AI伪影(奇怪的手指、模糊的文字等)
- 主体清晰对焦
- 适合目标平台
Compositional Quality
构图质量
- Subject is clear and prominent
- Composition supports intended use (text space if needed)
- Lighting creates appropriate mood
- Colors are cohesive
- 主体清晰突出
- 构图符合预期用途(如果需要,留有文字空间)
- 光线营造了合适的氛围
- 色彩协调
Brief Alignment
需求匹配度
- Matches requested subject
- Matches requested style
- Matches requested mood/tone
- Usable for intended platform
- 符合要求的主体
- 符合要求的风格
- 符合要求的氛围/色调
- 可用于目标平台
Common Issues & Solutions
常见问题与解决方案
| Issue | Cause | Solution |
|---|---|---|
| Generic/stock photo feel | Vague prompt | Add specific details, unique elements |
| Wrong style | Style not specified | Be explicit: "product photography style" not just "photo" |
| Poor lighting | No lighting direction | Add specific lighting: "dramatic spotlight from upper left" |
| Cluttered composition | Too many elements | Add "minimal" "clean" "simple composition" |
| AI artifacts | Model limitations | Regenerate, or note area to avoid |
| Wrong aspect ratio | Default used | Specify ratio in request |
| Doesn't match brand | No style reference | Add brand color/style keywords |
| Text rendering issues | Wrong model | Route to ai-typography for text-heavy graphics |
| 问题 | 原因 | 解决方案 |
|---|---|---|
| 通用/库存照片感 | 提示词模糊 | 添加具体细节、独特元素 |
| 风格错误 | 未明确说明风格 | 更明确地描述:使用“产品摄影风格”而非仅“照片” |
| 光线不佳 | 未指定光线方向 | 添加具体光线描述:“左上方戏剧性聚光灯” |
| 构图杂乱 | 元素过多 | 添加“极简”“简洁”“构图简洁” |
| AI伪影 | 模型限制 | 重新生成,或标注需要避免的区域 |
| 宽高比错误 | 使用了默认值 | 在请求中指定比例 |
| 不符合品牌风格 | 无风格参考 | 添加品牌颜色/风格关键词 |
| 文字渲染问题 | 模型选择错误 | 路由至ai-typography处理文字密集型图形 |
Output Format
输出格式
Standard Output
标准输出
markdown
undefinedmarkdown
undefinedImage Generated
生成的图像
Subject: [what was generated]
Style: [style used]
Aspect Ratio: [ratio]
Image URL: [URL]
Prompt Used:
[full prompt for reference]
Quality Check:
- ✓ Subject accurate
- ✓ Style matches
- ✓ Composition works
- ✓ Quality sufficient
Options:
- Approve and use
- Iterate (specify changes)
- Generate variant
- Try different approach
undefined主体: [生成的内容]
风格: [使用的风格]
宽高比: [比例]
图像链接: [URL]
使用的提示词:
[完整提示词,供参考]
质量检查:
- ✓ 主体准确
- ✓ 风格匹配
- ✓ 构图合适
- ✓ 质量达标
选项:
- 批准并使用
- 迭代(说明修改内容)
- 生成变体
- 尝试其他方法
undefinedWith Iteration Context
包含迭代背景
markdown
undefinedmarkdown
undefinedImage Generated (Iteration 2)
生成的图像(第2次迭代)
Changes from v1: [what changed]
Image URL: [URL]
Comparison:
- v1: [issue]
- v2: [improvement]
Feedback needed?
---与v1的变化: [修改的内容]
图像链接: [URL]
对比:
- v1:[存在的问题]
- v2:[改进点]
是否需要反馈?
---Handoff Protocols
移交协议
Receiving from ai-creative-workflow
从ai-creative-workflow接收
yaml
Receive:
subject: "[what to generate]"
style: "[aesthetic direction]"
platform: "[intended use]"
aspect_ratio: "[ratio]"
constraints: "[any limitations]"yaml
接收内容:
subject: "[要生成的内容]"
style: "[美学方向]"
platform: "[预期用途]"
aspect_ratio: "[比例]"
constraints: "[限制条件]"Returning to Workflow
返回至工作流
yaml
Return:
status: "complete" | "needs_iteration" | "needs_different_approach"
deliverables:
- url: "[image URL]"
aspect_ratio: "[ratio]"
prompt_used: "[prompt]"
feedback_needed: "[any questions]"yaml
返回内容:
status: "complete" | "needs_iteration" | "needs_different_approach"
deliverables:
- url: "[图像链接]"
aspect_ratio: "[比例]"
prompt_used: "[提示词]"
feedback_needed: "[任何疑问]"Routing to Video
路由至视频模块
yaml
Route to ai-video-generation:
image_url: "[approved image URL]"
aspect_ratio: "[ratio]"
animation_intent: "[what motion is needed]"yaml
路由至ai-video-generation:
image_url: "[已批准的图像链接]"
aspect_ratio: "[比例]"
animation_intent: "[所需的动效]"Integration with Creative Pipeline
与创意流程的集成
IMAGE GENERATION PIPELINE
┌─────────────────────────────────────────┐
│ Request arrives (direct or routed) │
│ → Clarify requirements │
│ → Construct prompt │
└─────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│ ai-image-generation (THIS SKILL) │
│ → Generate with Nano Banana Pro/Glif │
│ → Present for feedback │
│ → Iterate as needed │
│ → Quality check │
└─────────────────────────────────────────┘
│
┌───────────┴───────────┐
▼ ▼
┌──────────────────┐ ┌──────────────────┐
│ Static Delivery │ │ Route to Video │
│ → Final image │ │ → ai-video- │
│ delivered │ │ generation │
└──────────────────┘ └──────────────────┘图像生成流程
┌─────────────────────────────────────────┐
│ 请求到达(直接请求或路由而来) │
│ → 明确需求 │
│ → 构建提示词 │
└─────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│ ai-image-generation(此技能) │
│ → 通过Glif调用Nano Banana Pro生成图像 │
│ → 提交反馈 │
│ → 根据需要迭代 │
│ → 质量检查 │
└─────────────────────────────────────────┘
│
┌───────────┴───────────┐
▼ ▼
┌──────────────────┐ ┌──────────────────┐
│ 静态交付 │ │ 路由至视频模块 │
│ → 交付最终图像 │ │ → ai-video- │
│ │ │ generation │
└──────────────────┘ └──────────────────┘Speed vs Quality Decision
速度与质量的决策
QUICK DRAFT (concept testing):
→ Nano Banana Pro via Glif (~20 sec)
→ Good enough to evaluate concept
→ Iterate quickly
PRODUCTION QUALITY (final delivery):
→ Nano Banana Pro via Glif (~20 sec)
→ Already production quality
→ Most cases don't need more
MAXIMUM QUALITY (premium needs):
→ Direct Replicate API call to specialized model
→ Only if Glif output insufficient
→ Rare — Nano Banana Pro handles most needsDefault to Glif. It's fast AND high quality. Only go elsewhere if specific need arises.
快速草稿(概念测试):
→ 通过Glif调用Nano Banana Pro(约20秒)
→ 质量足以评估概念
→ 快速迭代
生产级质量(最终交付):
→ 通过Glif调用Nano Banana Pro(约20秒)
→ 已达到生产级质量
→ 大多数场景无需更高质量
最高质量(高端需求):
→ 直接调用Replicate API使用专业模型
→ 仅当Glif输出无法满足需求时使用
→ 很少需要——Nano Banana Pro能处理大多数需求默认使用Glif,它既快速又高质量。仅在有特定需求时才考虑其他选项。
Tips from Experience
经验技巧
What Works
有效的方法
- Specificity beats creativity — "Red 2024 Tesla Model 3" beats "cool car"
- Lighting is underrated — Always specify lighting direction/type
- Negative space matters — Mention if you need room for text
- Iterate fast — Don't overthink first prompt, generate and refine
- Quality boosters work — "Professional photography, ultra-detailed" actually helps
- 具体性优于创意 —— “红色2024款特斯拉Model 3”比“酷炫汽车”效果好
- 光线被低估 —— 始终指定光线方向/类型
- 负空间很重要 —— 如果需要留空间添加文字,一定要说明
- 快速迭代 —— 不要过度纠结第一个提示词,生成后再优化
- 质量增强词有效 —— “专业摄影,超细节”确实能提升效果
What Doesn't Work
无效的方法
- Vague prompts — "Something cool" produces nothing useful
- Too many elements — Keep focused, don't cram everything in
- Ignoring aspect ratio — Always match to intended platform
- Single generation — Plan for iteration, don't expect perfection first try
- Wrong model for text — Nano Banana Pro struggles with text rendering
- 模糊的提示词 —— “酷炫的东西”无法生成有用的内容
- 元素过多 —— 保持聚焦,不要堆砌所有元素
- 忽略宽高比 —— 始终匹配目标平台的要求
- 仅生成一次 —— 规划迭代,不要期望一次生成就能完美
- 用错误模型处理文字 —— Nano Banana Pro在文字渲染上表现不佳
The 80/20
80/20原则
80% of good results come from:
- Specific subject description
- Clear style direction
- Explicit lighting
- Appropriate aspect ratio
Get these four right, and you'll get good results.
80%的优质结果来自:
- 具体的主体描述
- 清晰的风格方向
- 明确的光线设置
- 合适的宽高比
做好这四点,就能得到不错的结果。