Layout-first campaigns
Posters, landing hero comps, and packaging panels where copy placement and hierarchy are part of the spec—not an afterthought.
GPT Image 2
LimaxAIGPT Image 2 on LimaxAI
Ship visuals where in-image copy survives the review zoom.
Describe the frame in plain language, add references if you need them, and generate one image per run—great for headlines, UI-style layouts, and diagrams. Revise the prompt and try again; there is no chat thread.
Pattern: scene → subject → constraints; quote literal copy.
Low / medium / high qualityReadable in-image typeReferencesRatio presets
Gambar referensi
Prompt
Rasio
1 / 6Where teams feel the lift
Marketing, ecommerce & design paths—without the toy-prompt look
Closer to how third-party GPT Image landings pitch daily work: layout-first campaigns, photoreal product scenes, and prompt-level micro-iterations.
Photoreal + controlled lighting
Product and lifestyle stills where materials, reflections, and camera intent need to read clearly on first review.
Prompt-level micro-iterations
Each submit is a fresh generation—change one variable at a time (palette, crop, type treatment) instead of rewriting the entire brief every time.
Full-bleed masonry gallery
Same full-width, multi-column waterfall as the Nano Banana 2 landing—LimaxAI generations across ratios and subjects.
Prompting playbook
Condensed from OpenAI’s GPT image guidance: fewer retries, cleaner approvals.
01 Structure
Background → subject → constraints
Skimmable beats beat clever syntax. Add the delivery channel (Meta, deck, print) so the model locks polish level.
02 Type
Quote literal strings + placement
Spell tricky brands letter-by-letter. For dense type or diagrams, bias toward higher quality settings before shrinking text.
03 Iterate
Between-run refinements
Each submit is a new generation. After a solid base, change one constraint or a short phrase in the prompt (e.g. “warm the key light only”). Re-state invariants when drift appears.
Four pillars for production-grade output
Turn GPT-class language understanding into assets you can review, iterate, and publish.
Typography you can trust
Put literal copy in quotes, specify placement, and call out hierarchy—strong for posters, packaging panels, and dense UI captions where small text must stay readable.
Structured & long prompts
Scene → subject → constraints reads cleaner to the model. Great for infographics, diagrams, multi-panel storyboards, and brand guardrails that used to require manual comping.
Describe edits in natural language
Spell out what should change and what must stay. Each generation is a standalone run—tune lighting, color, or emphasis by revising the prompt, not via a chat thread.
Quality vs latency you control
Pick a faster pass for ideation, then step up fidelity for finals. Photoreal materials, balanced color, and crisp edges where stakeholders zoom in.
Model specs
Short list of what matters for shipping assets.
Model
GPT Image 2
OpenAI image stack on LimaxAI; tracks upstream updates.
Latency profile
Tunable with quality presets
Faster passes for drafts; higher tiers when you need clean detail at zoom.
Inputs
Prompt + optional references
Pair references with text to keep layout and subject closer to brief.
Resolution
Flexible sizes & ratios
Presets for social, decks, and commerce. Spot-check very large exports before paid media.
Editing
Prompt-described edits
Describe the change and what must stay; each action generates a new image—no multi-turn chat session.
Aspect ratios
Campaign-ready presets
Square, landscape, portrait, and common ad frames in-product.
Fidelity modes
Low · Medium · High
Editing style
Instruction-first, per-run generation
Outputs
Campaign ratios + HD tiers
Why teams standardize on this stack
Creative flexibility with guardrails—so outputs feel usable in real marketing, product, and brand reviews.
Creative control without friction
Steer with clearer prompts, references, and composition cues while LimaxAI keeps the UI light enough for rapid iteration.
Consistent series across variants
Campaign explorations benefit when palette, lens, and typographic rules are restated each hop—ideal for multi-size or localized drops.
Production-ready workflow fit
Preset ratios, HD tiers, and prompt tuning between runs keep ideation, polish, and export inside one workspace.
Start in three calm steps
Write a strong prompt (and references if needed); each run is one generation—revise the brief and regenerate until it matches your bar.
Step 1
Write the brief in plain language
Include subject, palette, typography needs, and where the asset will ship—web, print, or social.
Step 2
Generate, then refine the prompt
Review the output. This tool does not keep a multi-turn chat—adjust wording, constraints, or references, then generate again until you are happy.
Step 3
Export and hand off
Download high-resolution outputs ready for Figma, Keynote, or your ads manager—subject to platform terms.
Who moves fastest with GPT Image 2
Teams that cannot afford fuzzy type or vague compositions.
Product & brand designers
Explore layout variants with readable copy and consistent visual hierarchy.
Growth & lifecycle marketing
Spin up localized hero shots and promo panels without waiting on a full studio cycle.
Ecommerce operators
Produce on-brand listing and campaign imagery with controlled lighting and messaging.
PMs & prototypers
Visualize flows and marketing surfaces early—closer to production fidelity than wireframes alone.
FAQ
What makes GPT Image 2 different from other generators?
It pairs GPT-class language understanding with strong text-in-image and infographic-style layouts. Each run is a single generation—tight prompt iteration reduces manual rescue passes.
How reliable is text inside the image?
It is tuned for legible typography in layouts. Specify exact wording, hierarchy, and placement for best results—always proof before large media spend.
Can I start from an existing image?
Yes. Upload a base image and describe the change in your prompt; each submit returns a new render—iterate by refining the wording rather than chatting in a thread.
Can I use outputs commercially?
Generated assets are yours to use per LimaxAI terms and applicable model policies. Validate compliance for regulated industries and large campaigns.
How do I get sharper results on the first try?
Follow a fixed order (background → subject → details → constraints), quote literal text, spell tricky brand names letter-by-letter, and call out placement. For dense type or diagrams, favor higher quality settings, then change one constraint or a small slice of the prompt between runs instead of rewriting everything.
How well does it handle Chinese, Japanese, or Korean inside the image?
GPT Image 2 is strong at multilingual prompts and many in-image glyph cases, but always proof CJK strings on the final asset—especially condensed poster copy or stacked characters—before large media spend.
How do I keep a consistent look across a batch of images?
Reuse the same scene recipe (palette, lens, lighting verbs) and reference images where possible; when branching variants, repeat non-negotiables (logo geometry, typography rules) each time so the model preserves your guardrails.
GPT Image 2
Prompt it. Generate the next frame.
Clear prompts and optional references—one image per run until it matches your bar.