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Explore GPT Image 2.5 Sunburst for detailed creation, multi-reference outfits, text localization, object removal and campaign revisions through HiAPI.

Provider: OpenAI

Category: image generation

Endpoint: /v1/tasks

Status: Available

Cost: See live page pricing

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GPT Image 2.5 Sunburst

New
by OpenAIImage

Explore GPT Image 2.5 Sunburst for detailed creation, multi-reference outfits, text localization, object removal and campaign revisions through HiAPI.

Pricing

Standard Usage

134 Credits/ image
Variant

Input

0 / 20000

More parameters

Generation settings

Choose the file format for the image result

Choose automatic, transparent, or opaque backgrounds; use PNG or WebP for transparency

Choose the quality tier; tiers affect pricing

Estimated cost134 Credits / imagemedium

Output

Ready for generation

Configure your parameters and click "Run" to see the output here.

--

Generation and editing examples

Explore prompt-generated images and reference images with their edited results.

Precise Lunar Lacquer Edit · After
Precise Lunar Lacquer Edit · Before
BeforeAfter

1 reference image / 1:1

Precise Lunar Lacquer Edit

A real prompt demonstrates GPT Image 2.5 text-to-image generation.

Prompt · English

Change only the central crescent-moon inlay on the open lacquer cabinet into a perfectly circular total lunar eclipse disc made from deep crimson mother-of-pearl with a thin copper-gold halo. Preserve every surrounding shell fragment, gold-wire constellation, cabinet shape, door angle, brass hinge, conservation tool, tray, lacquer reflection, camera position, focus, lighting direction, shadow, and background exactly. Do not add, remove, move, resize, or recolor anything else. No text, logos, people, animals, perfume, or watches.

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Model specifications

Explore reference limits, sizes, formats and quality settings for gpt-image-2.5-sunburst.

Reference images
0-16
Aspect ratios
1:13:22:34:33:416:99:16auto1024x10241536x10241024x15361536x11521152x15362048x20482048x11521152x20483840x21602160x3840
Output formats
PNGJPEGWEBP
Quality
lowmediumhighxhighmaxauto
Prompt length
1–32000 characters
Pricing
medium: 134 Credits / imagelow: 34 Credits / imagehigh: 365 Credits / imagexhigh: 714 Credits / imagemax: 1,428 Credits / imageauto: 714 Credits / image

Pricing is per output image and quality setting, with no extra fee for references. See the estimate above before generating.

How to use gpt-image-2.5-sunburst

Start with an idea, add an image if needed, and create in three steps.

Subject
Scene

API Quickstart

Copy the request example and use your own API key and image URLs. See the documentation for parameters, callbacks and result retrieval.

Endpoint
POST /v1/tasks
Model ID
gpt-image-2.5-sunburst
cURL
curl -X POST "https://api.hiapi.ai/v1/tasks" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-image-2.5-sunburst",
  "input": {
    "prompt": "Change only the central crescent-moon inlay on the open lacquer cabinet into a perfectly circular total lunar eclipse disc made from deep crimson mother-of-pearl with a thin copper-gold halo. Preserve every surrounding shell fragment, gold-wire constellation, cabinet shape, door angle, brass hinge, conservation tool, tray, lacquer reflection, camera position, focus, lighting direction, shadow, and background exactly. Do not add, remove, move, resize, or recolor anything else. No text, logos, people, animals, perfume, or watches.",
    "image_urls": [
      "https://example.com/reference.webp"
    ],
    "aspect_ratio": "1:1",
    "quality": "high",
    "background": "opaque",
    "output_format": "webp"
  }
}'

The create request immediately returns a taskId; image generation continues asynchronously.

Read the full API documentation

GPT IMAGE 2.5 / SUNBURST

GPT Image 2.5 Sunburst for demanding visual work

Sunburst is the GPT Image 2.5 model focused on image quality and editing precision for demanding creative briefs, campaign imagery and refined product visuals. It generates from text and edits images, with longer generation times in exchange for greater precision.

Generate + editUp to 16 references6 quality settings
Explore the model ↓
Precise Lunar Lacquer Edit
Precise Lunar Lacquer Edit · Model-generated example

QUALITY & EDITING PRECISION

About GPT Image 2.5 Sunburst

It is particularly relevant when source assets or art direction are already established. A face, product outline, packaging text and surrounding environment may need to remain recognizable while one element changes. Multiple references and successive edits support work within that existing image.

The lacquer-cabinet example targets the central lunar inlay, with the surrounding ornament and cabinet forming the preservation context. The Sunburst examples below begin with a product-ad sequence, followed by clothing, localization, furniture and object-removal edits.

From a product photo to a billboard and a winter revision

This sequence shows how successive edits connect. A product photo first becomes a highway billboard scene. The next edit changes the conditions to a snowy winter evening, carrying the product and campaign lettering into the revision.

Sunburst is positioned for revisions to established creative, including seasonal campaigns, background updates and product-ad variants. Each iteration uses the relevant image as input for a further editable result.

01 · Product photo

02 · Sunset billboard

03 · Winter revision

Sunburst for detailed creation and editing control

Sunburst prioritizes quality and editing precision for demanding requirements. Its examples below cover multi-reference outfits, object removal, layout translation and product imagery.

Combine a person with separate clothing references

The person photograph supplies the face, pose and setting, while a jacket, top and boots provide separate clothing references. The output assembles the outfit within the original museum setting.

Prioritizing speed for everyday creation? Explore Flare

Flare focuses on producing high-quality images quickly for creator tools, content updates and visual prototypes. Both models support generation and editing.

View model details →

Start a detailed Sunburst project on HiAPI

Upload a person, product or setting and describe the details to revise. You can also create from text and manage subsequent image tasks through the API.

Try in PlaygroundGet an API key
Need to compare models and billing tiers?View live pricing for all models

Frequently asked questions

What is GPT Image 2.5 Sunburst best suited to?

Sunburst targets visual work with demanding quality and precision requirements, including campaigns, refined product imagery, multiple references and focused revisions. It also generates new images directly from text.

What is the main tradeoff between Sunburst and Flare?

Sunburst emphasizes quality and precision, generally with longer generation times. Flare focuses on faster everyday creation. The choice depends on the visual requirements and acceptable wait.

Can Sunburst combine a person with several clothing references?

Yes. The outfit example uses a person, jacket, top and boots as four inputs, combining the garments within the person’s original setting. HiAPI supports up to 16 references.

Can it remove a single object from a photograph?

Yes. Specify the object to remove and describe the person and setting to preserve. The portrait example targets the flower in the subject’s hand, illustrating photo cleanup, prop changes and content revisions.

Can Sunburst replace furniture in an interior image?

The kitchen example replaces chairs while retaining the table, windows and room context. Similar edits support furniture styling and interior proposals.

Can Sunburst translate text inside an image?

The coffee-machine example shows an English diagram revised into Spanish. These edits support localized diagrams, international promotional assets and language updates to existing designs.

How does an advertising concept carry through successive edits?

The product sequence begins with a bottle photo, creates a sunset billboard and then edits that output into a snowy winter scene. Each iteration uses the relevant image as input with the next requested change.

Can Sunburst generate complex packaging from text?

It can create product concepts combining a package shell, printed wording, materials and decoration. The toy-airplane example illustrates this kind of brief for packaging presentations, product visuals and creative proposals.

Can isolated products be used in transparent compositions?

Sunburst supports isolated subjects and transparent backgrounds. On HiAPI, choose a transparent background with PNG or WebP. Use the output in advertising compositions, product displays and page designs.

What does the lacquer-cabinet example demonstrate?

The requested change targets the central lunar inlay on the cabinet door. The surrounding ornament, cabinet and tools form the context to preserve, illustrating editing around one defined local objective.

Which quality and size options are available for Sunburst?

HiAPI offers low, medium, high, xhigh, max and auto, along with the listed aspect ratios and pixel dimensions. Quality and size are independent, and the default quality is medium.

Is each Sunburst revision billed separately?

Each submitted revision is an independent image task billed by its selected quality and output image, without an extra reference-image fee. The page shows an estimate and provides preview and download after completion.

Style
Up to 16
01

Describe the image or add references

Skip uploads for text-to-image, or add 1 to 16 images for editing and describe their roles.

What to change
What to preserve
02

Describe the result and choose settings

Describe the subject, composition, and lighting; for edits, specify what to change and preserve, then choose quality, layout, and format.

Playground
POST /v1/tasks
03

Generate and download

Run the task, then preview and download your image. Use the code below to automate generation in your app.

Each input has a distinct role, supporting outfit presentations, styling proposals and commercial visuals with recognizable subjects.

Person

Jacket

Top

Boots

Sunburst · Outfit edit

Change the language within an established layout

The coffee-machine diagram contains a cutaway, process information and dense labels. A follow-up edit translates the wording into Spanish within the machine-centered layout.

In-image text editing supports localized diagrams, revised promotional assets and multilingual visuals. Headings, labels and explanations can be updated within the existing visual structure.

English diagram

Spanish version

Remove one object within a portrait

This edit targets the flower in the person’s hand. The portrait, blue cap, shirt graphic and wall remain part of the scene, with the requested change concentrated near the hand.

Sunburst’s focused-editing positioning suits prop changes, image cleanup and revisions to existing photographs. Edit requests can focus on a specific object, such as a prop, background element or local decoration.

Before

Sunburst · Flower removed

Replace furniture within an existing room

The kitchen’s table, windows and layout establish the room, while the edit focuses on the chairs. Wooden chairs take the original positions, making furniture style the subject of the revision.

This type of edit supports interior proposals, furniture styling and in-context product presentation within an existing background.

Original kitchen

Sunburst · Wooden chairs

Extract a product as an independent visual element

The original photograph shows a shampoo bottle with its surface and background. The output presents the bottle as an independent subject, with shape, cap and label central to the asset.

An isolated product can support ad composition, product displays and page design. HiAPI offers transparent-background settings with PNG and WebP when an alpha channel is needed.

Product photograph

Sunburst · Isolated product

Packaging, lettering and materials in a product image

The toy-airplane example combines a transparent shell, printed card, toy materials and seasonal decoration. It illustrates Sunburst generation with several visual requirements in one composition.

Sunburst generates directly from text as well as editing existing assets. Its creative scope includes packaging concepts, detailed product imagery and brand campaigns.

Sunburst · Toy packaging concept

ARENA LEADERBOARD

GPT Image 2.5 Sunburst on Arena

GPT Image 2.5 Sunburst ranks first in text-to-image, image editing and multi-image editing, with strong results across both generation and reference-based creation.

Text-to-image

Arena · 2026-09-09
Rank / ModelScore
1Sunburst1421
2Flare1399
3GPT Image 2 (medium)1381
View the Arena leaderboard ↗

Image editing

Arena · 2026-09-09
Rank / ModelScore
1Sunburst1520
2Flare1491
3GPT Image 2 (medium)1461
View the Arena leaderboard ↗

Multi-image editing

Arena · 2026-09-09
Rank / ModelScore
1Sunburst1535
2Flare1501
3GPT Image 2 (medium)1454
View the Arena leaderboard ↗

Commercial visual work with Sunburst

Campaign imagery

Refine products, lettering and settings within an established campaign direction.

Commerce and product design

Work with packaging, materials, isolated products and in-context displays.

Localized visual assets

Revise in-image wording within an existing layout for different markets.

Photo revisions and interior concepts

Revise objects and styling within portraits or interior photographs.