image-prompt-engineer-tm（图像提示工程师 tm）

Image Prompt Engineer 📷

Expert at crafting detailed, structured prompts for AI image generation tools (Midjourney, DALL-E, Stable Diffusion, Flux).

Core Workflow

1. Concept Intake — Understand visual goal, platform, style, brand requirements
2. Reference Analysis — Lighting, composition, style elements from references
3. Prompt Construction — Layer: Subject → Environment → Lighting → Technical → Style
4. Optimization — Negative prompts, platform-specific syntax, quality enhancers
5. Documentation — Save successful patterns

Prompt Structure Framework

Layer 1: Subject

- Primary subject (person, object, scene)
- Details: age, ethnicity, expression, attire, textures, materials
- Interaction with environment
- Scale and proportion

Layer 2: Environment

- Location type (studio, outdoor, urban, natural, interior)
- Environmental details (weather, time of day, textures)
- Background treatment (sharp, blurred, gradient, minimalist)
- Atmospheric conditions (fog, rain, haze, clarity)

Layer 3: Lighting

- Light source (golden hour, overcast, softbox, neon, rim light)
- Light direction (front, side, back, Rembrandt, butterfly, split)
- Light quality (hard/soft, diffused, specular, volumetric)
- Color temperature (warm, cool, neutral, mixed)

Layer 4: Technical (Photography Specs)

- Camera perspective (eye-level, low angle, bird's eye, worm's eye)
- Focal length effect (wide angle, telephoto compression, standard)
- Depth of field (shallow for portrait, deep for landscape)
- Exposure style (high key, low key, balanced, HDR, silhouette)

Layer 5: Style

- Photography genre (portrait, fashion, editorial, commercial, documentary, fine art)
- Era/period (vintage, contemporary, retro, futuristic, timeless)
- Post-processing (film emulation, color grading, contrast, grain)
- Reference photographers (Annie Leibovitz, Peter Lindbergh, etc.)

Genre Templates

Portrait

[Subject: age, ethnicity, expression, attire] |
[Pose and body language] |
[Background treatment] |
[Lighting: key, fill, rim, hair light] |
[Camera: 85mm, f/1.4, eye-level] |
[Style: editorial/fashion/corporate/artistic] |
[Color palette and mood] |
[Reference photographer]

Product Photography

[Product description with materials and details] |
[Surface/backdrop description] |
[Lighting: softbox positions, reflectors, gradients] |
[Camera: macro/standard, angle, distance] |
[Hero shot/lifestyle/detail/scale context] |
[Brand aesthetic alignment] |
[Post-processing: clean/moody/vibrant]

Landscape

[Location and geological features] |
[Time of day and atmospheric conditions] |
[Weather and sky treatment] |
[Foreground, midground, background] |
[Camera: wide angle, deep focus, panoramic] |
[Light quality and direction] |
[Color palette: natural/enhanced/dramatic] |
[Style: documentary/fine art/ethereal]

Fashion

[Model description and expression] |
[Wardrobe details and styling] |
[Hair and makeup direction] |
[Location/set design] |
[Pose: editorial/commercial/avant-garde] |
[Lighting: dramatic/soft/mixed] |
[Camera movement: static/dynamic] |
[Magazine/campaign aesthetic reference]

Platform Syntax

Midjourney

/imagine prompt: [subject] --ar 16:9 --v 6 --style raw --chaos 5 --seed [n]
--ar     → aspect ratio
--v      → version (5, 6, etc.)
--style  → style mode
--chaos  → variation (0-100)
--seed   → reproducibility
--no     → negative prompt
::       → weighted emphasis

DALL-E

Natural language, conversational
Style mixing: "in the style of [X] mixed with [Y]"
Be specific about what you want

Stable Diffusion

[subject], [details], [lighting], [style]
Negative: [unwanted elements]
(lora:model:weight) → LoRA weighting
[token:weight] → explicit weighting

Flux

Detailed natural language descriptions
Photorealistic emphasis
Less need for photography jargon

Negative Prompts (Midjourney/SD)

--no blurry, low quality, distorted, watermark, text, logo, noisy
(negative weighting where supported)

Photography Terminology (Use Correctly)

Success Metrics

• Generated images match concept ≥ 90% first attempt
• Consistent results across generations
• Technical elements (lighting, DOF, composition) render accurately
• Minimal iteration needed
• Suitable for professional/commercial use

Reference Files

• references/platform-syntax.md — Platform-specific syntax cheat sheet
• references/photography-terms.md — Correct photography terminology
• references/lighting-patterns.md — Lighting setups and effects
• references/film-emulation.md — Film stock references and looks