Launch stills
Launch-page hero stills
Generate polished visual directions around a product, offer, or campaign story before the final shoot exists.
Sample
AI image landingProduction-ready outputs
Create campaign stills, product scenes, and precise image edits with GPT Image 2.
GPT Image 2 is built for fast, high-quality image generation and editing with flexible sizes, high-fidelity image inputs, and stronger text rendering for ads, stores, launch pages, and social production.
Start with GPT Image 2
Image workflow
From GPT Image 2 brief to reusable still library.
1
Write the visual brief, choose the output size, and define where the asset will appear.
2
Attach high-fidelity product, style, or campaign references when the image needs to stay on brand.
3
Save the strongest stills into the library for reuse in the next prompt.
Ad tests
Paid social image tests
Turn one brief into multiple creative territories for hooks, offers, and audience-specific ads.
Format stills
Storefront, text, and thumbnail variants
Produce clean stills with room for readable copy, badges, cropping, and platform-specific layout needs.
Refresh waves
Retargeting visual refreshes
Build a second wave of stills around the same offer, product, and visual system without starting from scratch.
Use GPT Image 2 when the next still needs a clear role in the campaign.
Key artProduct scenesImage editsSocial variantsReference-led visuals
Fast campaign image generation
Move from a raw campaign idea to high-quality still directions without separating ideation from production.
High-fidelity reference editing
Guide the output with image inputs so products, materials, angles, and brand cues stay connected through controlled edits.
Flexible size variant packs
Create square, vertical, landscape, and layout-safe options for paid social, PDPs, thumbnails, and launch pages.
Creative briefing guide
Write the GPT Image 2 asset you need, not just the image you imagine.
The best results start with production context. Describe the placement first: a launch hero with negative space, a square ad with a bold offer, a clean ecommerce thumbnail, or a poster that must carry readable typography. Then add the subject, lighting, camera angle, surface, material, palette, and emotional tone. This gives the model enough constraints to create a useful image instead of a generic beautiful one.
References matter when brand consistency matters. Attach product shots, visual systems, previous campaign stills, or style boards when you need the result to preserve shape, color, packaging, character identity, or art direction. Use the prompt to explain which parts of the reference are mandatory and which parts can change, especially when exploring backgrounds, crops, and social variants.
For text-heavy images, keep copy concise and give it a real layout role. Ask for a headline area, label panel, product callout, menu board, or poster treatment instead of simply saying that text should appear somewhere. Treat the first generation as a creative direction, then refine spacing, spelling, hierarchy, and crop safety before moving the image into a paid placement.
A practical review pass should compare the output against the channel, not only against the prompt. Check whether the subject is recognizable at thumbnail size, whether the image still works after mobile cropping, whether there is enough quiet space for interface chrome or captions, and whether the color system matches the rest of the campaign. Save strong near-misses too; they often become useful references for the next generation.
When a team needs speed, organize prompts by campaign question: which product angle sells the offer, which background makes the message clearer, which crop gives paid social enough stopping power, and which version leaves the cleanest space for copy. That makes each generation easier to compare and prevents the review from becoming a beauty contest.
Real image problems GPT Image 2 can solve.
Use the model when the work is concrete: a missing launch visual, an ad test, or an image that needs to fit real placements.
Launch visual
The product photo is ready, but the launch page still needs a stronger hero image.
Use GPT Image 2 to generate a polished campaign environment around the product reference, then keep the best still for the page and ad set.
Ad directions
The ad team needs ten visual directions before the offer can be tested.
Start from one brief, create distinct still-image territories, and send the strongest variants into paid social review.
Layout fit
A good image exists, but it does not leave space for copy, badges, or storefront cropping.
Regenerate the frame with layout intent so the asset works across thumbnails, banners, PDP blocks, and retargeting placements.
Questions before generating with GPT Image 2?
Short answers for teams planning image references, campaign stills, and reusable visual assets.
Turn the still direction into the first usable image.
Use the composer to build a campaign image, refine the result, and move the strongest frame into your library without changing the workflow above.