OpenAI · ChatGPT Images 2.0 · April 21, 2026

GPT Image 2 — From Prompt to Commercial-Grade 4K Images

Posters, product shots, packaging, and multilingual campaigns—create precise text, stable layouts, and commercial-grade 4K visuals in one workflow.

  • Precise in-image text
  • 4K image output
  • High-fidelity image editing
  • Text and image inputs
ChatGPT Images 2.0 launch key visualMultilingual compositionIn-image typographyHigh-fashion editorialCandid people photography

What the model actually delivers

Multilingual posters, comic panels, brand ads, photoreal photography — each from a single prompt.

Chinese comic panel
Japanese fantasy manga
Multilingual bookstore display
Korean hotel brand ad
French New Wave poster
Surrealist poster
35mm documentary photography
Photoreal street scene

Built to produce work you can ship

Three capabilities that matter when an image has to leave the moodboard and enter a real campaign.

GPT Image 2 example showing precise multilingual typography and layout

Precise in-image text

Typography and layouts ready to deliver

Create posters, packaging, UI mockups, signage, and multilingual ads with clear glyphs, readable hierarchy, and stable composition.

GPT Image 2 commercial product image with realistic lighting and materials

Commercial-grade 4K

Product and campaign visuals with production detail

Render natural light, convincing materials, and high-fidelity product scenes, then export up to 4K for ads, storefronts, and presentations.

GPT Image 2 multi-frame example with consistent characters and visual details

High-fidelity editing

Keep people, products, and brand details consistent

Use a reference image and iterate without rebuilding the whole scene—preserve identity, product form, and key visual details across revisions.

Three steps to run GPT Image 2

Step 1

Open the GPT Image 2 entry

Enter the iMini image workspace and select GPT Image 2 — same account as your other models.

Step 2

Write what you need clearly

Follow OpenAI’s structure: scene → subject → detail → constraints. State use case (ad, UI, infographic) so the model matches polish level.

Step 3

Generate, edit, deliver

Iterate quality tiers as needed, download finals, or keep editing while holding identity and layout.

One model, eight production workflows

From e-commerce heroes to storyboard scripts — jobs that used to need a full studio day now start with one prompt.

Product and commercial still life

Product and commercial still life

Photoreal product scenes and e-commerce heroes — material, light, and first-pass quality cut reshoots and retries.

Infographics and charts

Infographics and charts

Complex structured visuals — charts, annotated diagrams, multi-column layouts — in-image text must stay readable.

Deck and pitch visuals

Deck and pitch visuals

Title slides, chapter art, embedded charts for proposals and product narrative.

Ad and poster layout

Ad and poster layout

Type-forward marketing layouts — headline hierarchy and contrast matter as much as illustration.

Multi-image series

Multi-image series

Thinking-grade multi-image from one prompt — storyboards, ad variants, sequential frames.

Native-ratio social sets

Native-ratio social sets

Flexible sizes (within ≤3:1) for feed, story, and banner formats without forced crops.

Structured technical visuals

Structured technical visuals

Layout and annotated schematic visuals that benefit from instruction following and dense detail.

Packaging and brand systems

Packaging and brand systems

Style-controlled brand applications — packaging, type posters, mockups — identity held through edit loops.

Teams that need a production default

Whether you ship ads, pitch decks, or product detail pages — the upgrade difference shows up here first.

E-commerce & DTC

Product visuals and in-image copy variants without a studio shoot per SKU.

Marketing & growth

Type-forward ads and seasonal banners — scenarios that used to die on broken typography.

Content teams

Bulk exploration at quality:low, then medium / high on winners.

Founders & PMs

Landing heroes, pitch art, and concept comps before design bandwidth arrives.

Agencies

Edit-heavy client loops: change one element, keep identity, lock brand geometry.

Designers & UX

UI drafts, dense charts, and style-transfer exploration with fewer dead ends.

Four ready-to-use prompts

See the model at its best, then adapt — GPT Image 2 supports Chinese prompts natively; paste straight into iMini.

Product

Photoreal product photo of matte black wireless earbud case on white marble, soft studio light, shallow depth of field, sharp brand wordmark on packaging, e-commerce hero, no watermark

Poster

Print-ready summer sale poster, tropical palette, large multilingual headline area at top with sharp glyphs, palm leaves framing edges, modern sans-serif, high contrast, clean layout

Portrait

Photoreal professional headshot of woman in her 30s, natural window light, neutral gray background, confident expression, LinkedIn business style, real skin texture preserved

Food

Overhead colorful açaí bowl flat lay, fresh berries and granola, bright natural light, Instagram food photography style, sharp ingredient detail, uncluttered frame

What is GPT Image 2?

OpenAI’s latest image model from April 2026 — generation and editing in one stack. Native 4K, reliable in-image text, photoreal realism, characters that hold through multi-round edits. Instant for second-scale output, Thinking for hard composition — OpenAI recommends it as the default for new projects.

Developer
OpenAI
Released
April 21, 2026
Generation modes
Instant · Thinking
Max resolution
4K (3840×2160)
Output sizes
Any size, aspect ratio ≤3:1
Quality tiers
low · medium · high

Reliable text rendering

Sharp glyphs, stable layout, strong in-image contrast — dense menus, posters, UI, packaging, and annotated charts finally come out clean in one pass.

Thinking mode (Images 2.0)

Thinking launched with the model: reasoning and tool use during generation — including live web context, multiple images from one prompt, and a more deliberate composition path than Instant.

Editing and identity consistency

Faces and identity hold across multi-round edits; characters stay consistent step to step — high-fidelity image input on by default, no extra setup.

Quality vs latency tradeoff

low / medium / high tiers let teams choose speed vs fidelity. OpenAI notes quality:low often beats prior-gen visual quality while staying fast enough for bulk iteration.

DimensionInstantThinking
RoleFast path with core Images 2.0 qualityReasoning + tool-augmented generation
Latency profileOptimized for fast outputSlower; plan and verify before final pixels
Best forDrafts, social, quick explorationResearch-backed visuals, multi-image sets, hard briefs
Reasoning stackDirect generationFull reasoning stack on the prompt
Multi-image outputUsually one primary imageMultiple images from one prompt
Live contextNo web during thinking phaseCan integrate live web search data

How it stacks up against top models today

GPT Image 2 vs Google’s Nano Banana 2 (Gemini 3.1 Flash Image) and Nano Banana Pro (Gemini 3 Pro Image), ByteDance’s Seedream 5.0 Pro, and last-gen GPT Image 1 — resolution, in-image text, edit fidelity, and speed side by side.

DimensionGPT Image 2GPT Image 1Nano Banana 2Nano Banana ProSeedream 5.0 Pro
Max resolution (practical)Native 4K (3840×2160) · above 2K experimentalFixed presets (~1K class)Up to 4KUp to 4KNative 2K · 4K via upscale
In-image text reliabilityExcellentModerateStrong · especially CJK textIndustry-best text precisionExcellent
Reasoning / Thinking pathImages 2.0 ThinkingNo dedicated Thinking pathAdjustable thinking tiers · search groundingNo dedicated Thinking pathDeep thinking + built-in web search
Multi-image / series workflowsMulti-image from one prompt (Thinking)Mostly single-image5-character + 14-object consistencyMulti-reference compositingUp to 10 references · layer export
Speed profileInstant fast draft + quality tiersModerateFastest (Flash architecture)Slower · quality-firstBalanced
Photorealism and materialsExcellentGoodNear-Pro fidelityExcellentExcellent
Aspect ratio flexibilityAny size ≤3:1 (edge ×16)Standard fixed ratios14 presets · up to 8:110 presetsCovers wide production sizes
References and edit fidelityDefault high-fidelity inputSupportedSupportedSupported · up to 14 referencesRegion-precision edit · layer export
High-density layout / UI / chartsExcellentModerateGoodExcellentExcellent
Default pickOpenAI official default for new projectsLegacy compatibility onlySpeed + cost default (Gemini lane)Premium typography and final polishMultilingual infographics · low cost

Guides, comparisons, and workflows for this model.

Using GPT Image 2 on iMini

Worth reading before your first generation.

Yes. Use iMini’s GPT Image 2 creation entry; usage follows your iMini plan credits — no separate ChatGPT subscription required to try here.

Generate GPT Image 2 free on iMini now

OpenAI’s recommended default image model for new projects — on iMini alongside Nano Banana 2, Nano Banana Pro, and Seedream.

Use GPT Image 2 free

No separate ChatGPT subscription — one iMini account is enough.