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+---
+title: AI Prompt Engineering Tips - Image Generation
+created: 2026-01-07
+tags:
+  - ai
+  - prompts
+  - image-generation
+  - reference
+source: https://github.com/ZeroLu/awesome-nanobanana-pro
+---
+
+# AI Image Generation Prompt Engineering Tips
+
+A comprehensive guide to crafting effective prompts for AI image generation models (Nano Banana Pro/Gemini/Imagen 2).
+
+## Core Principles
+
+### 1. Be Specific and Detailed
+- Use precise technical parameters rather than vague descriptions
+- Specify exact camera models, lens types, and settings when relevant
+- Include lighting direction, quality, and temperature
+- Define exact aspect ratios and resolutions
+
+### 2. Structure Your Prompts
+Use clear sections for complex requests:
+- **Subject** - What/who is in the image
+- **Environment** - Setting, location, background
+- **Lighting** - Type, direction, mood
+- **Camera/Style** - Technical specs, artistic style
+- **Details** - Textures, colors, specific elements
+
+### 3. Reference Real-World Standards
+- Mention specific film stocks (e.g., "Kodak Portra 400")
+- Reference camera models (e.g., "Sony A7III with 85mm f/1.4")
+- Cite artistic styles or movements
+- Use professional terminology (bokeh, depth of field, golden hour)
+
+## Technical Parameters
+
+### Camera Settings
+```
+- Camera: [Model] (e.g., Canon EOS R5, Hasselblad H6D-100c)
+- Lens: [Focal length] [Aperture] (e.g., 85mm f/1.4, 35mm f/2.8)
+- Aperture: f/1.8 to f/5.6 (shallow DoF) or f/8+ (deep DoF)
+- ISO: 100-400 (clean), 800-1600 (grainy/documentary)
+- Shutter speed: 1/60s (standard), 1/125s+ (action)
+```
+
+### Lighting Specifications
+```
+- Type: Natural light, studio lighting, flash, ambient
+- Direction: Key light, fill light, rim light, backlighting
+- Quality: Soft/diffused vs. hard/direct
+- Temperature: Warm (golden hour) vs. cool (blue hour)
+- Time of day: Golden hour (sunset/sunrise), midday, blue hour
+```
+
+### Style References
+```
+- Photography eras: 1990s digital camera, 2000s flash, film aesthetic
+- Film stocks: Kodak Portra 400, Kodak Ektar 100, Fuji Velvia
+- Artistic styles: Cinematic, editorial, documentary, fashion
+- Processing: Vintage grain, clean digital, film texture
+```
+
+## Consistency Techniques
+
+### Face/Identity Preservation
+```
+Key phrases for maintaining facial features:
+- "Keep the facial features of the person exactly consistent"
+- "Preserve original face 100% accurate from reference image"
+- "Do not change the face, maintain exact facial structure"
+- "Face consistency: preserve_original: true"
+```
+
+### Texture Preservation
+```
+For maintaining surface textures:
+- "Preserve the original fabric texture, color, and logos"
+- "Maintain the aged, greasy, textured look"
+- "Keep the same grain, focus depth, and lighting"
+- "Match ambient lighting, color temperature, shadow direction"
+```
+
+## JSON Format for Complex Prompts
+
+For multi-parameter requests, use structured JSON:
+
+```json
+{
+  "subject": {
+    "description": "Young woman...",
+    "age": "early 20s",
+    "expression": "confident and playful",
+    "hair": {
+      "color": "dark",
+      "style": "long, voluminous waves"
+    }
+  },
+  "photography": {
+    "camera_style": "early-2000s digital camera aesthetic",
+    "lighting": "harsh super-flash with bright highlights",
+    "angle": "mirror selfie",
+    "texture": "subtle grain, retro highlights"
+  },
+  "environment": {
+    "setting": "bedroom",
+    "elements": ["dresser", "posters", "vanity"]
+  }
+}
+```
+
+## Category-Specific Tips
+
+### Portrait Photography
+```
+- Specify lens compression (85mm for flattering portraits)
+- Define depth of field (shallow for portraits, deeper for groups)
+- Include catchlights in eyes
+- Mention skin texture preference (natural pores vs. smooth)
+- Specify makeup and styling details
+```
+
+### Product Photography
+```
+- Use "pure white background (RGB 255, 255, 255)"
+- Specify "soft studio lighting, even illumination"
+- Request "subtle contact shadow at base"
+- Include "no harsh glare, photorealistic rendering"
+- Define "high-resolution, 8k quality"
+```
+
+### Vintage/Retro Aesthetics
+```
+- Reference specific years (e.g., "early-2000s aesthetic")
+- Mention "film grain, authentic texture"
+- Include era-specific elements (fashion, technology, decor)
+- Specify "flash photography" or "disposable camera look"
+- Use "nostalgic, vintage color grading"
+```
+
+### 3D/Isometric Renders
+```
+- Specify "Cinema 4D rendering" or "3D isometric view"
+- Include "soft studio lighting, clean materials"
+- Define "miniature diorama style" or "architectural visualization"
+- Mention "rounded forms, pastel colors" for cute aesthetics
+- Request "blind-box toy aesthetic" for collectible styles
+```
+
+## Advanced Techniques
+
+### Multi-Image Consistency
+For generating multiple related images:
+```
+"Create [number] images with:
+- Same subject with exact facial features preserved
+- Same lighting setup and color grading
+- Same environment and props
+- Different poses/angles only
+- Maintain consistent wardrobe and styling"
+```
+
+### Image-to-Image Translation
+```
+"Transform the uploaded image by:
+- Preserving [specific elements]: face, pose, composition
+- Changing [target elements]: background, lighting, style
+- Maintaining [technical aspects]: resolution, aspect ratio
+- Matching [aesthetic]: color palette, mood, era"
+```
+
+### Text Integration
+```
+For adding text to images:
+- "Overlay text in [font style]: bold, serif, handwritten"
+- "Place text at [location] with [color] and [effects]"
+- "Ensure perfect spelling and centered alignment"
+- "Use drop shadow and outline for readability"
+- "Integrate text naturally into image depth of field"
+```
+
+### Background Manipulation
+```
+Removal: "Remove all people/objects in background, fill with..."
+Extension: "Expand to 16:9, extend scenery naturally on both sides"
+Replacement: "Replace background with [description] while preserving subject"
+Context-aware: "Match original lighting, weather, and texture perfectly"
+```
+
+## Common Pitfalls to Avoid
+
+### ❌ Vague Descriptions
+- ❌ "Make it look nice"
+- ✅ "Soft diffused natural lighting, shallow depth of field, warm color grading"
+
+### ❌ Missing Technical Context
+- ❌ "A portrait photo"
+- ✅ "Professional headshot, Sony A7III, 85mm f/1.8, three-point lighting"
+
+### ❌ Ignoring Consistency
+- ❌ "Multiple photos of the same person"
+- ✅ "Same person, exact facial features preserved, different poses only"
+
+### ❌ Unclear Hierarchy
+- ❌ Long paragraph with everything mixed together
+- ✅ Structured sections: Subject → Environment → Style → Technical specs
+
+## Workflow Strategies
+
+### 1. Start Broad, Then Refine
+```
+First pass: "Portrait of a young woman, outdoor setting"
+Refined: "Portrait of a young woman, 85mm lens, shallow DoF,
+golden hour lighting, urban park background, soft focus bokeh"
+```
+
+### 2. Use Reference Layering
+```
+Base: "Fashion photography"
+ Style: "in the style of Annie Leibovitz"
+ Technical: "shot on Hasselblad H6D, 120mm macro lens"
+ Mood: "editorial, high-fashion, dramatic lighting"
+```
+
+### 3. Build Template Libraries
+Create reusable templates for common needs:
+- Professional headshots
+- Product photography
+- Social media content
+- Vintage aesthetics
+- 3D renders
+
+## Negative Prompts
+
+What to exclude (if supported):
+```
+Common negatives:
+- "no distorted faces, no extra limbs"
+- "no blurry, no low quality, no artifacts"
+- "no watermarks, no text overlays"
+- "no unrealistic proportions"
+- "no modern elements" (for vintage styles)
+```
+
+## Quality Indicators
+
+Add these for best results:
+```
+- "8K resolution, ultra-detailed"
+- "Photorealistic, high-fidelity"
+- "Professional photography, award-winning"
+- "Sharp focus, crisp details"
+- "Cinema-quality rendering"
+```
+
+## Quick Reference Cheat Sheet
+
+### Portrait
+`[Subject] | [Age/gender] | [Expression] | [Camera: 85mm f/1.8] | [Lighting: soft natural] | [Background: blurred] | [Style: editorial] | [Quality: 8K]`
+
+### Product
+`[Product] | [Angle: 3/4 view] | [Background: pure white] | [Lighting: soft studio] | [Shadow: subtle contact] | [Quality: photorealistic, high-res]`
+
+### Vintage
+`[Subject] | [Era: 1990s/2000s] | [Camera: disposable/digital] | [Flash: direct] | [Grain: authentic] | [Style: nostalgic] | [Colors: slightly faded]`
+
+### 3D Render
+`[Subject] | [Style: isometric/chibi] | [Render: C4D] | [Lighting: soft studio] | [Materials: pastel, glossy] | [Background: solid color] | [Aesthetic: cute, minimalist]`
+
+## Resources
+
+- **Official Guide**: [Google Prompting Tips](https://blog.google/products/gemini/prompting-tips-nano-banana-pro/)
+- **Advanced Guide**: [How to prompt Nano Banana Pro](https://www.fofr.ai/nano-banana-pro-guide)
+- **Source Repository**: [[ZeroLuawesome-nanobanana-pro 🚀 An awesome list of curated Nano Banana pro prompts and examples. Your go-to resource for mastering prompt engineering and exploring the creative potential of the Nano banana pro(Nano banana 2) AI image model.|awesome-nanobanana-pro]]
+
+## Practice Exercises
+
+1. **Upgrade a basic prompt**: Transform "photo of a cat" into a detailed, technical prompt
+2. **Style transfer**: Take a prompt and adapt it for different eras (1980s → 2000s → modern)
+3. **Multi-parameter challenge**: Create a JSON prompt with 5+ nested parameters
+4. **Consistency test**: Write prompts for 3 related images maintaining exact subject consistency
+
+---
+
+*Last updated: 2026-01-07*
+*Source material: awesome-nanobanana-pro GitHub repository*