GPT-4o Image Generator

About GPT-4o Image

GPT-4o is OpenAI's image model, and this page runs it from a written prompt or from a prompt plus up to five uploaded images. You pick a square, landscape or portrait frame, choose one, two or four images per run, and can switch prompt enhancement on before submitting. Each image is billed at 40 credits.

Most image models reward a pile of keywords. GPT-4o is the page to use when the instruction reads like a sentence: keep the bottle where it is, change the label to Spanish, stand it on a wet counter, and leave the light alone. It follows the order of the request instead of sampling a mood from it. That makes this page the better fit for edits written by someone who is not a prompt engineer, and for briefs where several conditions have to hold in the same frame.

The controls are deliberately narrow. Uploads are optional: with nothing attached the run is text to image, and with one to five files attached the prompt is treated as an edit or a reference instruction. Frames are 1:1, 3:2 and 2:3 only. The variant selector returns one, two or four images from a single submission. Prompt enhancement expands a short instruction before it is sent, and it starts switched off, which is the right setting once your wording is already exact. Billing is per image, so the four-image option costs four times one.

What this page does not try to be is a style engine. Flux Kontext is the tighter tool when one object has to change and the rest has to survive untouched, and it accepts a single upload. Qwen Image exposes steps, guidance, a seed and a negative prompt, which suits reproducible parameter work. GPT-4o sits between them: looser than Kontext, less manual than Qwen, and strongest when the request is conversational. Midjourney remains the page for a look rather than a correction. A failed run refunds its credits, so a wrong guess costs time rather than balance.

With the model fixed, this page has no engine selector and gives its whole panel to one model. The 40-credit badge describes a single image; the variant control multiplies it. Two images debit twice the badge, four debit four times, and the deduction is taken when the request is accepted rather than when the files arrive. Check the figure before pressing generate with four selected, particularly on a new account, where the balance may still be close to the free allowance rather than a purchased bundle.

The workspace hides one part of the request that is worth knowing. It carries a fallback engine, and that fallback is enabled by default, so a job the primary model cannot finish can be completed by a different model instead of returning nothing. The practical effect is a run that arrives rather than fails, sometimes with a looser reading of the brief. Read the result before you reuse it: check the label text, the product outline and the direction of the light, because a completed fallback is charged like any other result and is not refunded.

How GPT-4o Image works

1. 1

   Write the instruction or attach references

   A prompt is required in every run. Upload up to five images when the subject already exists: one picture for an edit, several angles when a product has to stay stable across the set.

2. 2

   Set the frame and the number of takes

   Choose 1:1, 3:2 or 2:3, then one, two or four images per submission. Leave prompt enhancement off if you have already phrased the instruction carefully and want it followed word for word.

3. 3

   Multiply the per-image price, then generate

   The form quotes the price of a single image at 40 credits. Two images cost 80 and four cost 160. Your balance sits next to the generate button, and the charge is taken once the request is accepted.

What GPT-4o Image is best for

• Product label and packaging edits

  Send a packshot and describe the change in one sentence. The item stays framed while the label, the surface under it or the props around it are rewritten.

• Reference sets that hold together

  Upload several angles of the same object and ask for a new scene. Up to five references travel with the request, so the product does not drift between takes.

• Four directions in one pass

  The four-image option compares compositions before you commit to one. The prompt is written once, and the bill scales with the number of images returned.

• Native social crops

  Pick 1:1 for a feed post, 3:2 for a landscape embed or 2:3 for a portrait placement before the run starts, rather than cropping afterwards.

GPT-4o Image at a glance

Model

OpenAI GPT-4o Image, run through KIE

Credit cost

40 per image, multiplied by the variant count

Modes

Text to image, image editing and referencing from uploads

Aspect ratios

1:1, 3:2, 2:3

Variants

1, 2 or 4 images per run

Reference images

Up to 5, PNG/JPG/WEBP

GPT-4o Image FAQ

How much does a GPT-4o image cost?

40 credits per image. A two-image run costs 80 and a four-image run costs 160, so the variant selector is the part that moves the bill. New accounts begin with 300 bonus credits, daily logins on the free plan add 50 more that expire after 30 days, and the Starter plan is $4.90 a month for 300 credits.

Can I edit a photo instead of generating from scratch?

Yes. Attach up to five images and write the instruction as a change to what is already there. With no upload the same page runs text to image, and with uploads the request is handled as an edit or a reference job.

What does prompt enhancement do?

It expands a short prompt before the request is sent. It is off by default, which is usually right when you have written the instruction yourself. Switch it on when the prompt is a fragment and you want the model to fill in the scene.

Why use this page rather than Flux Kontext or Qwen Image?

Kontext is built to change one thing and preserve everything else, and it takes a single upload. Qwen Image gives you steps, guidance, a seed and a negative prompt. GPT-4o is the one for conversational, multi-part instructions and for runs where one prompt should return two or four takes.

What happens when a generation fails?

The charge is refunded automatically when the provider reports a failure. You pay for delivered output rather than for attempts.

Does prompt enhancement change the price or the number of images?

Neither. The charge is per image returned, and the enhancement flag plays no part in that calculation. What it changes is the prompt itself: a fragment is expanded before it is sent, which can add subject matter and detail you never asked for. Leave it off when the instruction is already exact; turn it on only when your prompt is a rough note and you want the scene built out around it.