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GPT Image 2 image workspace

GPT Image 2Images you can use

It can write legible poster text, turn a product into an ad, keep the same character, lay out UI boards, try packaging directions, make a set from one ideaIt canwrite legible poster text

Start with a product, a reference, a line of copy, or even a rough scene.

Generated commercial poster for a translucent running shoe
Product Ad PosterAd poster
Open in Studio
Ready
Real use cases

From product shots to character sheets, see what GPT Image 2 can do.

A campaign rarely needs one picture. It needs a few directions, a clean version for the page, and enough room in the budget to regenerate tomorrow.

Generated desk lamp product advertisement with packaging and readable launch copy
Product launch

A product ad that already knows the shelf

The desk lamp image shows the object, packaging, headline, feature callouts, and desk context in one frame instead of a loose mood reference.

Useful when the product, box, and launch copy all need to agree.
Generated ecommerce feature page for a rooftop farming system
Ecommerce structure

A feature page before engineering builds it

The rooftop farming unit is shown as a product, a system diagram, a pricing block, and a set of benefits. That is closer to a real ecommerce brief.

Good for checking whether the page has enough visual proof.
Generated restaurant analytics dashboard board with desktop and mobile UI
SaaS interface

A dashboard direction with real screen density

The TableSignal board includes charts, calendar states, mobile screens, and table details, so product and design can discuss the actual surface.

Fits Studio exploration first, API generation later.
Generated sparkling drink cans on a retail shelf with readable packaging
Retail packaging

Shelf context changes the packaging decision

Mint Tide is not floating on a blank backdrop. It sits on a real shelf with price tags, flavor cues, cans, and a small retail card.

Useful before spending time on a cleaner pack render.
Generated cinematic train dining lifestyle scene for a hospitality campaign
Lifestyle scene

The setting carries the brand mood

The train dining scene gives lighting, wardrobe, table styling, and customer mood in one image. That is the kind of detail a hospitality brand reviews.

Useful when the scene has to feel photographed, not assembled.
Generated character reference sheet for fictional courier team
Character sets

One approved sheet can anchor later scenes

Orbit Couriers shows multiple characters, expressions, palettes, and prop notes together, so later story or game assets have a shared reference.

Useful when consistency saves more time than raw speed.
From idea to usable batch

Treat generation like a small production run.

Step 1

Bring the messy source

Product shots, screenshots, copy, references, or a half-written brief can all start the run.

Step 2

Spend credits when the direction is worth testing

Use the homepage preview to compare directions, then run real jobs in Studio when the image needs to be saved or reused.

Step 3

Keep the result available

The same direction can move into Studio history, API jobs, or later variants without losing the prompt, cost, and output record.

Start now

Capability matters. So does the cost of trying again.

Text and layout

Labels and UI chrome need to survive the render

Explainers are useful only when labels and diagrams stay readable. Bee Vision works because the photo, callouts, and color scale all point at the same subject.

Generated bee vision scientific infographic with readable labels and color scale
Workflow fit

Studio for judgement, API for repeatable jobs

The Same-Day Ops board looks like something a team could review, then regenerate with new route data, service areas, or campaign dates through the API.

Generated logistics operations board with maps, notes, and dashboard details
Cost control

The price has to leave room for bad drafts

A brand kit like Margin Notes needs several assets in the same direction. Pricing is easier to judge when the batch includes rejects and alternates.

Start now
Generated stationery brand kit with packaging, logo, typography, and color swatches
Pricing in the workflow

Price matters because one render is rarely the whole job.

GPT Images is priced around credits, so you can compare a subscription, a one-off pack, and API use before starting a batch.

Basic

For first-time AI content creators

$14.90$9.90/month

Billed yearly at $118.80. Save $60 vs monthly.

Monthly option: $14.90/month

12,000 credits/year1,000 credits/mo.Parallel generations: up to 2
  • 1,000 credits per month
  • Up to 100 images/month
  • Browser Studio access
API ready

Standard

For consistent and easy AI content creation

$49.90$29.90/month

Billed yearly at $358.80. Save $240 vs monthly.

Monthly option: $49.90/month

54,000 credits/year4,500 credits/mo.Parallel generations: up to 6
  • 4,500 credits per month
  • Up to 450 images/month
  • Studio and API access
best value

Pro

For high-volume creators and API projects

$129.90$79.90/month

Billed yearly at $958.80. Save $600 vs monthly.

Monthly option: $129.90/month

192,000 credits/year16,000 credits/mo.Parallel generations: up to 20
  • 16,000 credits per month
  • Up to 1,600 images/month
  • Studio and API access
team

Business

For agencies and small teams

$299$199/month

Billed yearly at $2,388. Save $1,200 vs monthly.

Monthly option: $299/month

600,000 credits/year50,000 credits/mo.Parallel generations: up to 50
  • 50,000 credits per month
  • Shared team credit pool
  • Studio and API access

Starter Pack

A small one-time top-up for testing prompts or finishing a campaign.

$19.90one-time
1,000 creditsUp to 100 imagesNo subscription
  • Credits are added to the workspace balance
  • Use them in Studio immediately
  • API usage follows your subscription plan
See pricing

Estimates use the current plan catalog; checkout details stay on the pricing page.

The workspace keeps the boring parts visible

A good result is not useful if nobody remembers which prompt made it, how many credits it cost, or whether the next run belongs in Studio or the API.

Prepared homepage examples do not spend credits
Real jobs reserve credits first; failed jobs release the hold
Studio history, prompts, results, and eligible API keys stay with the workspace
Subscriptions and credit packs support different campaign rhythms
When the direction is worth a real run

Open Studio, spend credits, keep the result.

The homepage is for quick comparison. Studio is where the real job, credit record, and saved output live.

Start generating

A few practical notes

Before credits are involved.

Does the homepage preview spend credits?

No. The preview uses prepared examples so it stays fast. Studio is where real generation jobs run.

Can I send a prompt into Studio?

Yes. The preview keeps your prompt and passes it into Studio so you can run it after signing in.

How do I compare plans?

The useful comparison is the batch itself: draft count, final asset count, whether the job repeats, and whether it belongs in Studio, API, or both.

Do I need my own OpenAI API key?

No. In-app generation uses GPT Images workspace credits.

What kinds of images work well here?

Product ads, poster copy, packaging ideas, lifestyle scenes, UI boards, ecommerce images, and visual sets from one prompt.

Explore more GPT Image workflows

Product AdsTravel LifestyleBeauty VisualsReadable TextPackagingLifestyleUI BoardsEcommerceCampaign SetsBrand KitsStudioAPIPrompt LibraryProduct PagesMultilingual Design
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