GPT Image 2.5 Sunburst Change one thing. Keep everything else.

Sunburst is the GPT Image 2.5 model built for edits: swap the background, rewrite the label, relight the shot, and leave the product exactly where it was. Same price per image as Flare.

Describe the image: subject, light, framing. Or upload a photo and say what to change.
Estimated — credits

WHAT SUNBURST IS FOR

The final pass.packaging, labels, light

  • GPT Image 2.5 Sunburst follows a narrow instruction literally, which is what a packshot needs when the box colour is the only thing allowed to move.
  • Attach up to 16 references so a colourway, a logo or a wardrobe choice holds across a whole set of renders.
  • Work up to 4K when the file has to survive print, with no visible watermark on the download.
  • Keep the prompt in the same shape every time: name what changes, then name what must not.
Open the GPT Image 2.5 Sunburst generator
Skincare carton and bottle rendered on a seamless studio backdrop by GPT Image 2.5 Sunburst

A skincare carton and pump bottle on a seamless sand-coloured studio backdrop, soft top light, a faint contact shadow, no props and no text

THE PROMPT BEHIND THIS RENDER

EDIT WHAT YOU ASK

Point at the change.not at the whole frame.

  • Send a phone photo in and get a deliverable back: cut the background, keep the product, keep the label.
  • Describe the edit as one change, then add what must stay. GPT Image 2.5 Sunburst follows the narrower instruction more closely.
  • Editing on GPT Image 2.5 Sunburst is not pixel-locked. Reflections and fine texture can still drift, so compare the render against the original before publishing.
Edit your image with Sunburst

PromptKeep the carton, the bottle and the label artwork exactly as they are. Change only the box colour to deep forest green.

ORIGINAL
ORIGINAL
GPT IMAGE 2.5 SUNBURST
The same carton and bottle after a GPT Image 2.5 Sunburst edit

One pack, four edits, nothing else moved

The same skincare pack through four chained GPT Image 2.5 Sunburst edits, step 1The same skincare pack through four chained GPT Image 2.5 Sunburst edits, step 2The same skincare pack through four chained GPT Image 2.5 Sunburst edits, step 3The same skincare pack through four chained GPT Image 2.5 Sunburst edits, step 4

HOW IT WORKS

Three steps from a GPT Image 2.5 Sunburst edit to a file you can publish

The GPT Image 2.5 Sunburst generator at the top of this page is the whole thing. Credits come in at 4K and at batch runs.

1

Upload the shot you have

A phone photo is enough. Add reference images when the same product has to stay recognisable across several edits.

2

Write one change, then the boundary

"Change the box colour to deep forest green. Keep the carton, the bottle and the label artwork exactly as they are." One change per pass beats five in one sentence.

3

Compare against the original

Put the input and the GPT Image 2.5 Sunburst render side by side, check the parts you did not ask to change, then download the file.

16

Reference images per prompt, so a set holds one look

4K

Largest GPT Image 2.5 Sunburst render, 3840 x 2160

4

Chained GPT Image 2.5 Sunburst edits in the example above

0

Visible watermarks on downloaded images

Image credits, one balance

One balance across all 19 image models. No watermark, no tier-locked models, commercial use on every paid plan.

Save 30% billed annually

Flexible monthly subscription.

Entry

The lowest way in. One month of credits to run a real job through the models before you commit.

$7.99/mo

Renews monthly, cancel anytime.

250 credits

≈ 17–83 images, depending on the model

  • Up to 4K · No watermark · Commercial use
  • Credits reset every billing month

Starter Monthly

Enough credits to finish a small job each month and try every model on it.

$29.9/mo

Renews monthly, cancel anytime.

1,000 credits

≈ 71–333 images, depending on the model

  • Up to 4K · No watermark · Commercial use
  • Credits reset every billing month

Standard Monthly

Popular

Steady output for a working catalogue, a campaign or a concept board.

$49.9/mo

Renews monthly, cancel anytime.

2,000 credits

≈ 142–666 images, depending on the model

  • Up to 4K · No watermark · Commercial use
  • Credits reset every billing month

Advanced Monthly

High-volume delivery for stores, brands, studios and agencies.

$89.9/mo

Renews monthly, cancel anytime.

5,000 credits

≈ 357–1666 images, depending on the model

  • Up to 4K · No watermark · Commercial use
  • Credits reset every billing month

Point GPT Image 2.5 Sunburst at the one thing that has to changeno card for the first render

Bring the packshot or the listing frame that is stuck, not a test prompt. One account covers every model in the picker.

Product shot relit by GPT Image 2.5 Sunburst
Packaging label rewritten by GPT Image 2.5 Sunburst
Product placed on a new background by GPT Image 2.5 Sunburst

GPT IMAGE 2.5 IS OPENAI'S MODEL. THIS SITE IS INDEPENDENT AND NOT AFFILIATED WITH OPENAI.

FAQ

GPT Image 2.5 Sunburst questions before you use it commercially

What Sunburst does to an existing image, what it costs, and where it still drifts.

Email support
What is GPT Image 2.5 Sunburst?

GPT Image 2.5 Sunburst is one of the two models OpenAI shipped under GPT Image 2.5 on September 8, 2026. It is the sibling that follows edit instructions more precisely, which is why it is worth selecting when a render has to land on a specific detail. It carries the same GPT Image 2.5 quality work as Flare: better lighting, richer texture and stronger preservation of subjects from reference photos.

GPT Image 2.5 Sunburst vs Flare — what's the difference?

Both are GPT Image 2.5 and both cost the same per image. GPT Image 2.5 Sunburst is the one for precision edits on a shot that ships, and GPT Image 2.5 Flare is the faster one for drafting while the prompt is still changing. The usual split is one job, two halves: draft the set on Flare, then make the single change that matters on Sunburst.

Is GPT Image 2.5 Sunburst better for image editing?

Yes, and that is the reason to pick it. On GPT Image 2.5 Sunburst a narrow instruction lands more reliably, so a background swap, a colourway change or a label rewrite comes back closer to what you asked for. If you are generating from scratch rather than editing, the gap between the two models is small and Flare's speed is worth more.

Does Sunburst keep the original image unchanged when editing?

Mostly, and not completely. GPT Image 2.5 Sunburst holds the subject, the composition and the label artwork better than the previous generation, but the edit is not pixel-locked: reflections and fine texture you did not ask to change can still move. That is why the walkthrough above ends with a side-by-side check against the original rather than a blind download.

How much does GPT Image 2.5 Sunburst cost?

A GPT Image 2.5 Sunburst image costs 3 to 21 credits depending on output size and quality, the same range Flare sits in, and the first render runs without a payment method. A chain of edits costs one render each, so plan for the passes rather than the finished file. Every model's rate is listed on the pricing page.

Is Sunburst slower than Flare?

Yes, and that is the trade. GPT Image 2.5 Sunburst spends more time on each request because it is following the edit instruction more closely, so it takes longer to come back than Flare does. On a drafting loop that difference is annoying; on the one frame that goes to a client, it is the reason you picked it.

Can I make multiple edits without the image drifting?

You can chain edits on GPT Image 2.5 Sunburst, and the subject holds up better than on the previous generation, but drift accumulates across a long chain. Two habits keep it under control: make one change per pass, and keep the earlier render as your reference so you can compare step four against step one. The four-step chain above is a real GPT Image 2.5 Sunburst run, not an illustration.

Can Sunburst keep a product consistent across images?

Yes, that is what the reference images are for. Attach the packshot along with the colourway or the model you want held, and GPT Image 2.5 Sunburst carries that look into the new frame instead of inventing a new one. Keep the reference set identical between renders; swapping one reference out mid-set is the usual reason a series suddenly stops matching.