GPT Image 2 Prompt Examples for Photorealistic Portraits, Product Shots, and Readable Text

Practical GPT Image 2 prompt examples for portraits, product shots, readable text, character consistency, UI mockups, and image-to-video first frames.

July 19, 2026ClipCanva Editorial

GPT Image 2 Prompt Examples for Photorealistic Portraits, Product Shots, and Readable Text

GPT Image 2 prompts work best when they describe a usable visual asset, not just a pretty image. For creators, the strongest pattern is to define the subject, use case, lighting, composition, text requirements, reference constraints, and review criteria before generating. That makes the result easier to use as a portrait, product shot, poster, social ad, thumbnail, or first frame for an AI video.

This guide gives practical GPT Image 2 prompt examples you can adapt inside ClipCanva's GPT Image 2 model page, Text to Image, Image Prompt Generator, and Image to Video. If the image is the start of a motion workflow, pair it with AI Video Generator or Prompt Ideas so the still image, scene direction, and final clip stay aligned.

Quick facts: GPT Image 2 prompt examples

Question	Practical answer
What should a GPT Image 2 prompt include?	Subject, output format, visual style, composition, lighting, text requirements, constraints, and a short quality checklist.
Which examples are most useful?	Photorealistic portraits, product shots, readable text posters, character consistency sheets, UI mockups, packaging labels, and social ad concepts.
Should the prompt include exact text?	Yes, when the image must contain a headline, label, sign, or UI copy. Still review spelling and layout before publishing.
What should stay outside the generated image?	Prices, legal claims, brand logos, certification marks, QR codes, small disclaimers, and anything that must remain perfectly editable.
How does this connect to video?	A strong generated image can become a first frame for image-to-video, a storyboard panel, or a thumbnail before motion is added.

Why prompt examples matter more than style words

A weak image prompt often sounds polished but gives the model too much freedom:

Create a stunning photorealistic portrait for a personal brand, cinematic, premium, highly detailed, beautiful lighting.

The model may produce a good-looking image, but the output is hard to judge. Is it for LinkedIn, a YouTube thumbnail, a course landing page, or an editorial profile? Should the subject face the camera? Should there be copy space? Is the background allowed to contain fake logos or unreadable signs?

A stronger prompt gives the image a job:

Create a photorealistic editorial portrait for a creator's personal brand website. Subject: one original adult founder, waist-up, facing camera with relaxed confidence. Lighting: soft window light from camera left, subtle catchlights, natural skin texture. Background: warm neutral studio with shallow depth of field, no logos, no readable text, no extra people. Composition: vertical 4:5 crop, leave clean negative space on the right for a headline added later. Mood: calm, capable, modern.

The difference is not word count. The difference is control. The second prompt defines purpose, crop, lighting, background risk, and how the image will be edited later.

GPT Image 2 prompt patterns by use case

Use case	What to specify	What to avoid
Photorealistic portrait	Subject, camera crop, lighting direction, background, facial expression, edit space	Fake celebrity likenesses, over-smoothed skin, extra people, unreadable signs
Product shot	Product shape, material, angle, surface, shadow, scale, background, use context	Invented certifications, fake labels, impossible reflections, distorted proportions
Readable text poster	Exact text, hierarchy, type style, layout, color palette, negative space	Too many words, tiny text, legal copy, QR codes, price claims inside the image
Character consistency	Character traits, outfit, color palette, poses, expressions, sheet layout	Changing identity across panels, extra limbs, inconsistent accessories
UI or app mockup	Device type, screen layout, content blocks, generic UI copy, brand-neutral design	Real third-party logos, account data, exact regulated metrics, unreadable microcopy
Image-to-video first frame	Start frame, preserved subject, caption-safe area, motion direction	Generated subtitles, fake buttons, cramped composition, unclear focal point

The same structure applies across image models. OpenAI's image generation guide focuses on generating and editing images through API workflows. Google DeepMind's Imagen page positions Imagen as an image generation model family. Stability AI's image models page emphasizes shorter prompts, composition, and realistic aesthetics. Midjourney's official site frames the product around expanding imaginative visual creation. Different tools expose different controls, but the operator job is the same: describe the result clearly enough that the output can be reviewed and reused.

7 GPT Image 2 prompt examples you can adapt

1. Photorealistic portrait prompt

Create a photorealistic editorial portrait of one original adult creator in a modern daylight studio. Waist-up crop, 85mm lens look, soft window light, natural skin texture, relaxed direct eye contact, neutral wardrobe, warm gray background, shallow depth of field. Leave clean negative space on the left for a headline added later. No logos, no signs, no extra people, no beauty-filter skin.

Best for: creator profile images, landing-page hero visuals, newsletter headers, and YouTube channel branding.

Review before use: face consistency, hands if visible, skin texture, background artifacts, and whether the crop has enough space for text.

2. Product shot prompt

Create a realistic ecommerce product shot of an original matte white insulated bottle on a stone kitchen counter. Camera angle: three-quarter front view, product centered, accurate cylindrical shape, realistic cap seam, soft natural shadow, warm morning light, neutral kitchen background blurred. Leave the product label blank. No fake logos, no certification icons, no discount badges, no extra products.

Best for: product concept visuals, ad mockups, product-page moodboards, and first frames for short product videos.

If the product must match a real SKU, use a reference image and review shape, color, label placement, and scale carefully before publishing.

3. Readable text poster prompt

Create a clean vertical poster with the exact headline text "SUMMER DROP" in large readable uppercase letters. Style: modern editorial fashion poster, cream background, deep navy typography, one original abstract fabric shape, strong margin spacing, premium print layout. Text must be centered and easy to read. No extra words, no logo, no fake date, no QR code.

Best for: social announcements, mock campaigns, moodboards, and thumbnail concepts.

Keep the text short. Generated image text is easier to review when it is a headline, label, or single phrase, not a paragraph.

4. Packaging concept prompt

Create a premium tea packaging concept on a studio table. Box shape: rectangular paper carton, soft sage green label area, cream background, subtle botanical illustration. Add the exact front text "MINT TEA" in readable uppercase letters. Keep all other text as simple decorative lines, not real words. Lighting: softbox studio, realistic paper texture, gentle shadow. No nutrition claims, no certification marks, no brand logos.

Best for: early packaging exploration, ecommerce concepts, and brand moodboards.

Do not treat this as production packaging. Food labels, compliance text, ingredients, certifications, and barcode data should be created and checked outside the image generator.

5. Character consistency sheet prompt

Create a character consistency sheet for one original animated explorer character. Include four panels: front view, side view, walking pose, surprised expression. Character details: short curly black hair, yellow rain jacket, navy backpack, red hiking boots, round glasses. Keep the same face, outfit colors, body proportions, and accessories in every panel. Clean white background, labeled panel layout without readable text.

Best for: storyboards, game concepts, creator mascots, and recurring social characters.

The important review question is not whether each panel looks good. It is whether the same character survives across poses.

6. UI mockup prompt

Create a generic SaaS dashboard mockup on a laptop screen. Layout: left sidebar, top search bar, three metric cards, one line chart, one content table, clean blue and white interface, modern spacing, soft shadow. Use abstract placeholder shapes and short fake UI labels only. No real company names, no private data, no financial claims, no tiny unreadable text.

Best for: landing-page illustrations, pitch decks, product concept boards, and app workflow visuals.

If the UI must be accurate, generate a concept image first, then rebuild the final screen in a design tool. Do not rely on generated UI for exact product states.

7. Image-to-video first-frame prompt

Create the first frame for a vertical 9:16 product video. Scene: one original wireless earbud case on a clean desk beside a phone and notebook. Composition: case in lower center, empty space in top third for caption, soft morning light, realistic shadows, calm creator workspace. The frame should feel ready for a slow camera push-in. No generated text, no logos, no floating icons, no extra hands.

Best for: turning a still concept into motion with Image to Video.

After generating the image, write the motion prompt separately: what moves, what stays consistent, where the clip lands, and where captions will sit.

Creator/operator checklist before publishing

Use this checklist before turning a GPT Image 2 output into a public asset:

Prompt quality

The image has one clear job: portrait, product shot, poster, packaging concept, character sheet, UI mockup, or first frame.
The prompt states crop, orientation, background, lighting, and edit space.
Any requested text is short, exact, and easy to review.
The prompt says what not to include: logos, fake claims, extra people, unreadable signs, or uneditable legal copy.
Reference assets are used when identity, product shape, or character consistency matters.

Output review

Main subject is recognizable and not distorted.
Hands, faces, product edges, labels, and shadows are believable.
Text is readable and spelled correctly if text was requested.
Background does not contain accidental logos, fake signage, or confusing artifacts.
The output still works after cropping for its final platform.

Reuse workflow

Save the prompt, model route, and selected output.
Add captions, prices, legal copy, and CTA text in an editable layer after generation.
If using the image as a video first frame, write a separate motion prompt.
Use AI Script Generator when the image supports an ad, explainer, or short-form video.
Use AI Video Summarizer when a long source video should guide the final still or thumbnail.

When to use another model or workflow

GPT Image 2 can be a strong choice for detailed briefs, readable text experiments, product-style scenes, and creator assets. It is not always the only route. If you need a specific visual style, compare outputs across models. If you need motion, start from the best still image and move into an image-to-video workflow. If you need exact brand production files, use AI for concepting and rebuild the final asset in your design system.

Need	Better workflow
Fast prompt exploration	Start with Prompt Ideas or Image Prompt Generator.
Model-specific image output	Use GPT Image 2 on ClipCanva and compare with other image models.
A still image that becomes a video	Generate the image first, then use Image to Video.
A video concept from a script	Build the hook and shot list with AI Script Generator, then generate scenes.
Long video repurposing	Summarize the source with AI Video Summarizer, then create thumbnails, clips, or new visuals.

FAQ

What is the best prompt format for GPT Image 2 examples?

Use a practical production format: subject, purpose, composition, lighting, style, output size or crop, text requirements, constraints, and review notes. The goal is not to write a poetic prompt. The goal is to make the output usable.

Can GPT Image 2 create photorealistic portraits?

It can be used for photorealistic portrait-style prompts, but you should review identity, skin texture, hands, background artifacts, and implied likeness carefully. Avoid asking for real private people or celebrity lookalikes unless you have the rights and the workflow supports that use.

How do I get readable text in AI-generated images?

Keep text short, quote the exact words, describe hierarchy, and remove competing copy. A poster headline or product label is more realistic than a paragraph of small legal text. Always inspect spelling before publishing.

Should I generate logos or certification marks inside the image?

Usually no. Logos, legal marks, certifications, prices, QR codes, and small disclaimers should stay editable outside the generated image. That prevents one typo or fake claim from ruining the whole asset.

How can I turn a GPT Image 2 result into a video?

Use the best still image as a first frame, then write a separate image-to-video prompt that defines motion, preserved details, caption space, and the final frame. ClipCanva's Image to Video route is the natural next step.