If you have already used GPT Image 2, you have probably noticed one thing very quickly: it is not the kind of model that becomes stable just because you throw mood words at it. The more reliable approach is to write the prompt like a clear visual instruction sheet.
This guide skips the vague theory and focuses on how to write, how to edit, and how to reuse prompts. You can directly copy the structures and examples below into your own workflow.
1. Start With One Rule: Write Visual Instructions, Not Adjective Piles
Many people start with prompts like this:
a stunning cinematic masterpiece, ultra detailed, beautiful lighting, highly aesthetic
The problem is simple: there are many words, but not enough executable information. The model can sense the style direction, but it still does not know what image you actually want.
A stronger prompt directly explains:
- what the scene is
- what the subject is
- what the composition is
- what the lighting is
- what materials and details matter
- whether the image contains text
- what type of final image you want
- what must not change
In other words, instead of asking for something “more premium,” ask for something more specific.
2. The Most Reusable Prompt Structure
If you do not know how to start, begin with this template:
Scene:
[location / background / time / environment]
Subject:
[who or what the image is about]
Composition:
[close-up / wide shot / overhead / eye-level / aspect ratio]
Lighting:
[natural light / studio light / backlight / soft light / neon]
Materials and Details:
[materials / colors / clothing / props / surface texture / key details]
Text:
[all exact text that should appear in the image]
Output Intent:
[poster / product photo / UI screenshot / infographic / editorial image]
Constraints:
[what must not appear, or what must stay unchanged]
The advantages are straightforward:
- it is stable
- it works well for photoreal images, product shots, posters, UI, and infographics
- it is easy to revise later
You do not even need to fill every field every time. In many cases, only the key fields are enough.
3. How To Write Prompts for Different Image Types
1. Product Images
For product images, the most important thing is not “luxury vibes.” It is cleanliness, accuracy, and commercial usability.
Here is a prompt structure that works well:
Scene:
Clean studio setup with a pure white background.
Subject:
A premium supplement bottle centered in frame.
Composition:
Straight-on product shot, vertical composition.
Lighting:
Soft overhead diffused light with a subtle contact shadow at the base.
Materials and Details:
Sharp label text, clean silhouette, no fringing, realistic bottle texture.
Output Intent:
Ecommerce hero image.
Constraints:
No extra props, no watermark, no additional text.
Example image:
The four most useful parts of this prompt are:
pure white backgroundcentered in framesharp label textsubtle contact shadow
These phrases are more useful than abstract words like premium because they directly shape the image structure.
2. Poster Images
Posters usually fail when the model loses the layout or renders the text badly.
That is why you should treat text as part of the layout system, not as an afterthought.
You can use a poster prompt like this:
Scene:
A premium poster printed on thick matte paper.
Subject:
Art-deco travel-poster layout.
Composition:
Centered poster, balanced negative space, strong visual hierarchy.
Lighting:
Soft studio presentation light.
Text:
Headline: "GPT IMAGE 2"
Subhead: "Near-perfect text. World-aware photorealism."
Callouts: "4K Render" "Dense Layout" "CJK-ready"
Output Intent:
Typography-focused poster design.
Constraints:
Render text verbatim, no duplicate text, no watermark.
Example image:
The most important rules here are:
- write every required text string
- wrap exact text in quotes
- label text roles such as
Headline,Subhead, andCallouts - explicitly require
Render text verbatim
If you do not do this, the model is much more likely to rewrite, drop, or duplicate text.
3. UI Screenshots
UI images are different from normal illustrations. They need information hierarchy and legibility.
Many people write UI prompts like this:
a beautiful modern dashboard
That is not enough. A stronger UI prompt should include:
- the interface type
- the color direction
- the layout structure
- the device or presentation format
- the lighting
- the exact text
Here is a more useful version:
Scene:
A clean desk with a laptop in a natural studio environment.
Subject:
A dark-mode SaaS analytics dashboard.
Composition:
Straight-on screen view, readable UI, realistic product presentation.
Lighting:
Soft natural light with subtle screen reflections.
Text:
metaTitle: "GPT Image 2 Prompting Guide for Better AI Images"
Sidebar: "Dashboard" "Generations" "Models" "Billing" "Settings"
Output Intent:
Shipped-product style UI mockup.
Constraints:
Perfect legibility, no gibberish text, no watermark.
Example image:
Here is a shorter mobile-oriented version:
Clean mobile app UI screenshot, minimalist dashboard design, white background, soft shadow cards, blue accent color, realistic iPhone frame, natural light on desk, 9:16
Example image:
The UI phrases worth reusing most often are:
readable UIperfect legibilityrealistic product presentationno gibberish text
These constraints have a big impact on the final result.
4. Editing Images
If you are editing an existing image instead of generating from scratch, the prompt structure should change completely.
In editing prompts, do not write the whole scene again. Instead, specify:
- what to change
- what to preserve
- what additional changes must not happen
A very standard short version is:
Replace the red hat with a cream wide-brim sunhat, keep everything else unchanged.
Example image:
A more stable expanded version is:
Change:
Replace the red hat with a cream wide-brim sunhat.
Preserve:
Face, pose, framing, lighting, outfit details, background, and image style.
Constraints:
Keep everything else unchanged. No extra objects. No watermark.
For editing tasks, you should explicitly write Preserve. Otherwise the model often changes the face, framing, clothing, or background along with the intended edit.
4. How To Write Prompts When the Image Contains Text
This is one of the most important sections.
If the image includes text, do not be lazy. Write every line of text and explain what role it plays inside the composition.
Weak version:
a poster with some modern tech text
Correct version:
Text:
Headline: "GPT IMAGE 2"
Subhead: "Near-perfect text. World-aware photorealism."
Footer: "Prompting Guide 2026"
Example image:
If your image is a poster, package, UI, infographic, or cover page, this matters even more.
You can also add a stronger constraint:
Render text verbatim, no duplicate text, no spelling errors.
That single habit makes text-heavy images much more controllable.
5. Five Highly Reusable Prompt Patterns
These five patterns cover most commercial image-generation tasks.
Pattern 1: Subject + Background + Composition
A premium skincare bottle on a pure white background, centered, straight-on product shot.
Works well for:
- product images
- packaging shots
- ecommerce visuals
Pattern 2: Subject + Lighting + Material
A ceramic coffee cup on a wooden table, soft morning light, visible glaze texture, realistic shadows.
Works well for:
- photoreal still life
- brand atmosphere images
- food and beverage materials
Pattern 3: Layout + Exact Text
A clean minimalist poster layout.
Headline: "SUMMER DROP"
Subhead: "Limited edition collection"
Footer: "Available now"
Render text verbatim.
Works well for:
- posters
- key visuals
- promo pages
Pattern 4: UI Type + Information Hierarchy + Legibility
A finance dashboard UI, left sidebar, top KPI cards, line chart in the center, dark mode, readable labels, perfect legibility.
Works well for:
- SaaS dashboards
- app screenshots
- product demo images
Pattern 5: Change + Preserve
Replace the background with a modern office interior, preserve the subject pose, face, clothing, framing, and lighting.
Works well for:
- local retouching
- background replacement
- outfit changes
- prop changes
6. Why Long Prompts Still Fail
Because long does not automatically mean effective.
Most weak long prompts fail because:
- they use too many adjectives
- they do not include enough structural information
- they lack constraints
- they do not explain what must stay unchanged
- they include text requirements without providing exact text
Compare these two versions:
Low-efficiency version:
an amazing beautiful futuristic cinematic high-end masterpiece with professional design and incredible lighting
High-efficiency version:
A futuristic product poster, centered composition, chrome material, blue neon rim light, dark background, headline "NEXT GEN DEVICE", clean typography, render text verbatim, no watermark.
The first sounds like an opinion. The second sounds like an instruction.
The model is much better at executing the second type.
7. Four Complete Prompts You Can Copy Directly
Example 1: Photoreal Fashion Portrait
Scene:
An outdoor city street in late afternoon.
Subject:
A woman in her late 20s wearing a beige trench coat.
Composition:
Medium shot, eye-level framing, shallow depth of field.
Lighting:
Soft golden hour sunlight from the left side.
Materials and Details:
Natural skin texture, subtle makeup, realistic hair strands, crisp fabric folds.
Output Intent:
Editorial fashion portrait.
Constraints:
Photorealistic, no watermark, no extra accessories.
Example 2: Branded Product Image
Scene:
Clean studio setup with a pure white background.
Subject:
A premium supplement bottle centered in frame.
Composition:
Straight-on product shot, vertical composition.
Lighting:
Soft overhead diffused light with a subtle contact shadow at the base.
Materials and Details:
Sharp label text, clean silhouette, realistic bottle texture.
Output Intent:
Ecommerce hero image.
Constraints:
No extra props, no watermark, no additional text.
Example 3: Poster Design
Scene:
A premium poster printed on thick matte paper.
Subject:
Bold modern tech-poster layout.
Composition:
Centered composition, strong visual hierarchy, generous negative space.
Lighting:
Soft studio presentation light.
Text:
Headline: "GPT IMAGE 2"
Subhead: "Prompting Guide"
Footer: "Create precise images with structured prompts"
Output Intent:
Typography-focused poster design.
Constraints:
Render text verbatim, no duplicate text, no watermark.
Example 4: UI Dashboard
Scene:
A clean desk with a laptop in a bright studio environment.
Subject:
A modern analytics dashboard for a creative SaaS tool.
Composition:
Straight-on screen view, readable interface, realistic product presentation.
Lighting:
Soft natural light with subtle screen reflections.
Text:
metaTitle: "GPT Image 2 Prompting Guide for Better AI Images"
Sidebar: "Overview" "Projects" "Assets" "Billing" "Settings"
Output Intent:
Product marketing screenshot.
Constraints:
Perfect legibility, no gibberish text, no watermark.
8. The Shortest Formula Worth Remembering
If you do not want to write the full structure every time, at least remember this compressed version:
subject + composition + lighting + details + text + constraints
For example:
A luxury perfume bottle, centered close-up, soft studio light, reflective glass, headline "MIDNIGHT NO.5", render text verbatim, no watermark.
That is already much more stable than most vibe-only prompts.
9. Final Takeaway
Using GPT Image 2 well is not about collecting more magic keywords. It is about learning to write your request as a clear visual description.
If you consistently do these things, your output usually becomes much more stable:
- define the scene first, then the subject
- specify composition and lighting
- write materials and key details explicitly
- provide exact text when the image contains text
- separate
ChangeandPreservefor editing - finish with constraints
When you treat the prompt like a design brief instead of a vague wish, GPT Image 2 becomes a much more controllable production tool.
