Prompt Optimization Guide
How to write prompts that fit the model better, improve composition, and produce more usable image outputs.
This guide is about prompt quality, not backend flow.
A practical prompt structure
Use this order:
- Subject
- Material or visual traits
- Lighting
- Composition
- Mood or usage
- Negative prompt
Example:
Luxury skincare bottle, frosted glass and brushed aluminum cap, soft front key light, centered composition with negative space on the right, clean premium product photography, no people, no extra props, no textHow prompt strategy changes by model
Flux Schnell
Keep prompts short.
- one subject
- one style direction
- one lighting idea
Best for fast iteration, not maximum nuance.
Qwen Image
Write longer and more structured prompts.
Use explicit sections such as:
- subject
- environment
- lighting
- composition
- mood
This model benefits from clearer instruction blocks.
Nano Banana Pro
Lead with materials and surfaces.
Examples:
- clear glass
- brushed steel
- matte stone
- seamless gray backdrop
This usually improves product-photography control.
Seedream 4
State detail intent directly.
Examples:
- crisp texture
- sharp edge definition
- high-detail
- 4K-ready
This helps communicate the quality target.
Flux Dev / Flux 2 Pro / Flux 2 Max
Write prompts that describe:
- subject consistency
- finish level
- material realism
- light ratio
These models respond better when you are specific about final-image quality.
Prompt optimization rules that usually help
1. Put the subject first
Do not start with style words alone.
Bad:
cinematic premium aesthetic, beautiful composition, sharp and detailedBetter:
Mechanical watch on black stone, cinematic side light, premium macro product photography, sharp dial texture2. Keep negative prompts focused
Good negatives remove obvious failure modes:
- no people
- no watermark
- no extra props
- no text
Do not turn the negative prompt into a second full prompt.
3. Use composition keywords
Useful words:
- close-up
- top-down
- centered composition
- negative space
- shallow depth of field
- left-aligned subject
4. Match prompt length to model intent
- Flux Schnell: short
- Qwen Image: long and structured
- Nano Banana Pro: product-first and material-first
- Seedream 4: detail-first
- Flux 2 Pro / Max: finish-first and quality-first
Search-friendly prompt keywords
If you want the page and the image output to align better, combine goal words with visual control words:
product photo,hero shot,still life,tabletop,commercial lightinghigh detail,sharp texture,premium finish,clean backgroundnegative space,centered composition,left-aligned subject,close-upno clutter,no people,no watermark,no extra props
Prompt goal examples
- product hero image
- high-detail watch render
- still life tabletop scene
- clean ecommerce banner
- bilingual composition-controlled prompt