Fonction ProGPT Image 2 is OpenAI’s ChatGPT Images 2.0 line—describe your frame in plain language, attach references for scoped edits, and note readable type or extreme crops. Stronger instruction following, multilingual labels, and Thinking support research-backed multi-image sets.
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DémoWatch OpenAI’s official GPT Image 2 Thinking demo—web research, multi-image synthesis, and self-checking—then draft your own ChatGPT Images 2.0 prompt in the tool above.
Six starting prompts for GPT Image 2—landscapes, packaging labels, bilingual products, portrait edits, wide banners, manga grids, and vertical cartons. Paste one into the tool above and tune any verbatim type before you generate.
Put exact dish names and prices on a menu card so small type stays readable.
Elegant Parisian patisserie counter with golden croissants on marble, small paper menu card on the counter with readable dish names and prices, warm bakery window light, photoreal 16:9.
Paste exact nutrition strings before asking for a square product hero.
Sleek matte black protein powder tub on white plinth with readable nutrition facts panel and flavor name Chocolate Recovery, minimal wellness product photo, square 1:1.
Upload a headshot, add one accessory, and lock face, hair, and blazer.
Professional headshot of woman in navy blazer with subtle pearl stud earrings added, soft cream studio background, same face and hairstyle unchanged, photoreal corporate portrait 16:9.
Brief a 3:1 turtle scene with teal water and left headline space.
Ultrawide sunrise ocean with sea turtle in crystal turquoise water, generous left negative space for headline, conservation campaign photograph 3:1.
Lock four-panel order so the grid reads as sequential manga.
Refined four-panel manga story grid on cream paper, delicate ink lines, soft watercolor accents, sequential beats, square 1:1.
Use English and French copy on a vertical package still life.
Vertical luxury tea carton on sunlit marble with readable English and French product copy on the package face, soft pastel packaging, product still life 9:16.
GPT Image 2 capabilities span instruction-following generation, scoped photo edits, readable labels, 3:1–1:3 ratio planning, Thinking research sets, and genre-faithful prototyping. Each row below maps a capability to brief fields you can lock in VidMage before you open ChatGPT or Firefly.
The ChatGPT Images hub and Create an image entry expect conversational briefs—not prompt-engineering syntax. Describe subject, medium, lighting, palette, and crop like you would brief a designer in one message.
Partner workflows show GPT Image 2 adding one element to an existing photo while keeping faces and scene geometry stable—brief the edit as a scoped instruction on the upload, not a full regenerate.
Images 2.0 marketing and partner boards emphasize dense text, packaging labels, and infographic layouts that older image models broke—provide exact strings, scale, and safe margins in the brief.
OpenAI cites aspect ratios from 3:1 cinematic banners through 1:3 vertical stories on Images 2.0—name the target crop in VidMage so one hero concept can ship as banner, feed, and story without three unrelated prompts.
On eligible ChatGPT tiers, Thinking can research a topic, gather references, and return multiple related frames that tell one story—plan beat order and consistency targets in VidMage before you enable agentic routes.
Images 2.0 launch materials call out pixel art, manga panels, cinematic stills, and other distinctive visual languages—name the genre rules explicitly so outputs read as production references, not generic illustration.
VidMage is where you lock GPT Image 2 edit scope, verbatim type strings, 1.5 vs 2.0 notes, and Thinking research templates—then hand a review-ready brief to ChatGPT or Firefly instead of improvising in chat threads.
One upload, one change list—add prop, swap background, relight—so ChatGPT Images edits do not drift into full-scene regenerations.
Packaging labels, signage, and infographic headers live in the brief as copy-paste strings—not paraphrased placeholders—for brand and legal review.
Map 3:1 banners, 1:1 feeds, and 1:3 stories from one hero concept before you open the ChatGPT crop picker.
When research-heavy sets need Thinking, capture topic scope, panel order, and consistency targets outside the chat transcript.
Mirror likeness, celebrity, and regulated-vertical notes from OpenAI help pages into the brief before generation—not after a block.
Export prompt, references, and chosen variants as a review bundle instead of scrolling unmanaged chat history.
Attach pixel, manga, or cinematic anchors when the deliverable must match a production medium—not generic photoreal defaults.
When stills feed video tools on VidMage, keep crop, type, and character notes attached to the exported frame.
Compare GPT Image 1.5, GPT Image 2 (ChatGPT Images 2.0), and GPT Image 2 with Thinking on instruction following, in-frame type, aspect ratios, edit precision, and access—so you can pick the right version for your brief.
| Features | GPT Image 1.5 | GPT Image 2 (Images 2.0) | GPT Image 2 (Thinking) |
|---|---|---|---|
| Instruction following | Strong for simple scenes; layered layout rules often needed retries. | Stronger object placement and scene relationships. | Thinking spends longer to satisfy open-ended, multi-part briefs. |
| Text & typography | Short type could drift; UI mockups often needed manual fixes. | Improved dense text, iconography, and small-label rendering. | Best when headlines, data labels, or UI chrome carry meaning. |
| Multilingual copy | Non-English in-frame text was inconsistent. | Stronger multilingual in-frame copy. | Useful for localized campaign explorations with research context. |
| Aspect ratio range | 1:1, 16:9, 9:16 — ultrawide/tall crops needed workarounds. | 3:1–1:3 plus 1:1, 16:9, 9:16 in the picker. | Same 3:1–1:3 ladder; plans multi-crop sets from one brief. |
| Max resolution | ~1024 px typical exports; fine type could soften on upscale. | Sharper native exports on dense type and fine texture. | Same export ceiling; longer Thinking pass for polish. |
| Selective edit precision | Whole-frame regenerations were common for small fixes. | More precise scoped add, remove, and blend edits. | Thinking can iterate before presenting a checked final frame. |
| Thinking / web research | — | Optional on Plus+ ChatGPT plans. | Plus, Pro, Business — web search + multi-image synthesis. |
| Multi-image output | 1 frame per turn unless manually iterated. | 2–4 related frames when prompts ask for sequences. | 3+ panel sets after research passes. |
| Best for | Quick social stills and first drafts. | Packaging labels, signage, and 3:1 banners. | Storyboards, infographic research, campaign explorations. |
| When to pick | Fast ideation when extreme crops are not required. | Readable type, 3:1–1:3 crops, or scoped photo edits. | Briefs that need web research before multi-panel delivery. |
Use VidMage to prepare your GPT Image 2 brief: pick Text to Image or Image to Image, write the finished frame, note Thinking or 3:1–1:3 crops, generate, then refine the next direction.
Start with Text to Image when the idea can be described from scratch. Use Image to Image when a product photo, moodboard, style frame, or previous output should guide the result.
Describe the subject, medium, setting, lighting, color mood, composition, style reference, aspect ratio, and details that should stay recognizable.
Preview the image set, compare variations, tighten the prompt, adjust crop or reference notes, download the strongest frame, and refine the next direction.
GPT Image fits teams shipping infographics, campaign boards, product stills, game prototypes, and multilingual signage—workflows OpenAI and partner pages highlight for ChatGPT Images 2.0.
Draft product visuals, ad concepts, seasonal campaign images, social posts, and landing-page art before final design polish.
Explore art direction, moodboards, key visuals, poster styles, and concept frames when texture, lighting, color, and taste carry the idea.
Turn quick ideas into portrait, square, and vertical image concepts for Instagram, Pinterest, thumbnails, and hook testing.
Compare alternate hero frames, campaign routes, pitch-board visuals, and platform-specific image directions before production starts.
Shape visualization concepts, room moods, material studies, and client-presentation images from text plus reference descriptions.
Explore cover art, character studies, environments, color systems, and moodboards, then use the strongest direction as a production reference.
Type a new scene or upload a photo to edit. Add lighting, crop, or on-image text, then hit Generate when you're ready.
