A good prompt follows core prompt engineering principles: state the deliverable, subject, required text, composition constraints, and style direction. Specificity beats length — a focused 2-sentence prompt example often outperforms a paragraph of adjectives.
GPT Image 2 Prompts — Best Prompt Guide & Examples | Image2
Master GPT Image 2 prompts with tested prompt examples and prompt engineering tips. Learn prompt patterns for product photos, marketing, and design on Image2.
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Upload a photo or write a detailed prompt to watch AI bring your idea to life.
What Image2 is good at
Good GPT Image 2 prompts follow prompt engineering principles: be specific about the deliverable, not the style. State what the image is for, what it must contain, and what constraints matter — the model fills in the rest. These prompt tips apply to all use cases.
- Text prompts and source images togetherUse text-to-image for fresh ideas, image-to-image for revisions, or combine both for tighter control.
- Refine the same idea across versionsChange background, styling, composition, or text placement without rebuilding the entire concept.
Feature Highlights
These prompt examples and prompt engineering patterns work because GPT Image 2 follows structured prompts more literally than most image models. The prompt tips below are tested across product photography, marketing, illustration, and UI design.
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Structure prompts around the deliverable, not the style
The first prompt engineering tip: start with what the image will be used for — a listing photo, a poster, a social media ad — then specify subject, composition, and required text. This prompt pattern gives GPT Image 2 enough context to make useful decisions.
- Lead with the format: 'A 1:1 product hero shot for an Amazon listing...'
- Specify required text, placement, and any layout constraints upfront
- Add style direction last, after the functional requirements are clear
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Use reference anchors for consistent multi-image output
When you need multiple images with the same subject, describe the subject once in detail and refer back to it. GPT Image 2 maintains identity better when the reference is explicit.
- Define the subject with specific physical details: shape, color, material, size
- Reuse the same subject description across prompts for visual consistency
- Upload a reference image when text descriptions alone are not precise enough
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Control text rendering with explicit placement instructions
GPT Image 2 handles in-image text well, but it works best when you specify the exact text, where it goes, and how large it should be relative to the composition.
- Quote the exact text you want: 'headline reads "Summer Sale — 40% Off"'
- Specify position: 'centered in the top third of the frame'
- Indicate scale: 'large enough to read at thumbnail size'
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Iterate with editing prompts instead of regenerating
After generating a first draft, use image-to-image editing to fix specific issues. This is faster than rewriting the entire prompt and produces more targeted improvements.
- Upload your first result and describe what to change: 'make the background warmer'
- Fix details without losing the overall composition you already approved
- Combine generation and editing for a two-step workflow that converges faster
Workflow
How to use Image2
Copy any prompt example into Image2, adjust the subject and details for your project, and generate. Apply these prompt tips and prompt engineering techniques — the best results usually come from 2-3 prompt iterations, not a single attempt.
Upload or start from text
Drop product photos, portraits, or sketches—or start blank for text-to-image runs.
Describe your change clearly
"Create a premium skincare product image on soft stone, add botanical shadows, and leave space for a headline." Clear prompts usually work best.
Pick model & style
Choose the workflow, output size, and editing approach that match your channel and review stage.
Review, tweak, save
Generate variants, refine specific issues, and export the right asset for web, ads, decks, or social.
Upload or start from text
Drop product photos, portraits, or sketches—or start blank for text-to-image runs.
Describe your change clearly
"Create a premium skincare product image on soft stone, add botanical shadows, and leave space for a headline." Clear prompts usually work best.
Pick model & style
Choose the workflow, output size, and editing approach that match your channel and review stage.
Review, tweak, save
Generate variants, refine specific issues, and export the right asset for web, ads, decks, or social.
Choose Your Perfect Plan
Choose flexible credit packs or subscriptions for Image2 image generation, editing, and commercial creative workflows.
Basic
$15.00$7.50/ month
Perfect for individuals and light users
Includes
- 1800 credits per year
- 50+ high-quality images/month
- All style templates included
- Priority generation queue
- Basic customer support
- Early roll-out of new features
- Commercial Use License
50% off — Save $90.00
Pro
Popular$39.00$19.50/ month
For professional creators and teams
Includes
- 9600 credits per year
- 250+ high-quality images/month
- All style templates included
- Priority generation queue
- Priority customer support
- Early roll-out of new features
- Commercial Use License
50% off — Save $234.00
Max
$160.00$80.00/ month
Annual plan for heavy usage.
Includes
- 55200 credits per year
- 1500+ high-quality images/month
- All style templates included
- Highest priority generation
- Priority customer support
- Early roll-out of new features
- Commercial Use License
50% off — Save $960.00
Answers
Image2 AI Image Generator FAQ
Answers to common GPT Image 2 prompt questions, from basic prompt structure to advanced prompt engineering techniques for getting consistent, usable output.
Two to four sentences covering deliverable, subject, and constraints typically produce the best results. Longer prompts work when each detail is functional, not when they pile on vague style adjectives.
GPT Image 2 does not use a formal negative prompt syntax like Stable Diffusion. Instead, state what you want directly. If something unwanted keeps appearing, explicitly say 'without [element]' in your prompt.
Quote the exact text in your prompt, specify its position and relative size, and keep text blocks short. Headlines and labels work best. Long paragraphs of in-image text are still unreliable across all models.
You can, but GPT Image 2 responds better to natural language prompts than comma-separated tag lists. Follow this prompt tip: rewrite tag-style prompts as structured sentences for noticeably better results with GPT Image 2 prompt engineering.
Most workflows land on a usable output in 2-4 iterations. The first generation establishes the concept, then 1-3 editing passes refine composition, text, and small details.
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Try the Image2 AI image generator
Grab a prompt example, open Image2, and test it. Apply these prompt tips and see how GPT Image 2 responds to specific, structured prompt engineering techniques.