Preserve a recognizable subject
Keep identity, expression, pose, clothing or product form stable while changing the environment. Name protected details first.
Create with GPT Image 2.5 SunburstPrecision GPT Image 2.5 model
GPT Image 2.5 Sunburst AI Image Generator
Use GPT Image 2.5 Sunburst for polished visuals, demanding references and edits where small details matter. OpenAI's precision-focused GPT Image 2.5 model is built for tighter control, stronger subject consistency and premium creative work that justifies a longer generation time.
- Precision-focused image editing
- Up to 16 reference images
- Quality from Low to Max
Generate with GPT Image 2.5 Sunburst
Write a precise brief that separates preserved details from requested changes. Assign a role to each reference, choose the final dimensions and file format, and use higher quality when the asset needs close inspection or premium finishing.
Loading the generator…
GPT Image 2.5 Sunburst is preselected. The model switcher remains unlocked so you can compare the same brief with Flare, GPT Image 2 or another image model.
Extra control for high-stakes visuals
GPT Image 2.5 Sunburst is intended for workflows where reference fidelity, editing precision and the finish of the selected result matter more than the shortest possible wait.
OpenAI describes GPT Image 2.5 Sunburst as the option for extra precision and tighter editing control. Its recommended uses include premium campaign creative and polished product imagery, where a small change to a face, package, texture, object position or line of text can determine whether the asset is usable. Sunburst takes longer to generate than Flare because it is aimed at a more exact final result.
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The wider GPT Image 2.5 family improves subject and reference preservation, complex visual instruction following, lighting, texture, layout and multi-turn editing consistency. Those capabilities are especially relevant to Sunburst workflows: preserving a recognizable subject while changing the setting, combining several reference roles without losing the hero object, or refining one element while keeping the rest of the composition stable.
ReelCine gives Sunburst a full production control set. Add up to 16 references, request one to four outputs, select 1K, 2K or 4K resolution, use 15 preset aspect ratios or specify exact supported pixel dimensions, and export PNG, JPEG or WebP. Quality ranges from Low through Max with Auto available, and the background can be automatic, opaque or transparent when the output format supports it.
GPT Image 2.5 Sunburst controls in ReelCine
Sunburst is selected automatically on this page. The embedded generator exposes the same complete GPT Image 2.5 control set while the model focuses on precision.
- Input
- Prompt plus up to 16 images
- Output
- 1–4 images per run
- Size
- 1K, 2K, 4K or exact pixels
- Quality
- Low through Max
Use separate references for identity, product form, composition, materials, color and details that must remain stable.
Request one carefully controlled result or compare a small set of polished directions from the same brief.
Choose one of 15 preset ratios or enter a supported custom width and height before generation.
Increase the quality tier when fine materials, typography, reference details or a final placement justify the added cost.
Why Sunburst suits precision work
These four capabilities focus on briefs where preserving, arranging and refining details is more valuable than maximizing generation speed.
Control typography and layout
Specify exact copy, hierarchy, spacing and print style for invitations, posters and brand concepts. Proofread every word.
Create with GPT Image 2.5 Sunburst
Resolve intricate material detail
Define surface, scale, edge treatment and lighting when packaging, textiles or product finishes must hold up at larger sizes.
Create with GPT Image 2.5 Sunburst
Follow unusual art direction
Combine specific traditions, environments and narrative ideas. Concrete spatial instructions make complex concepts easier to assess.
Create with GPT Image 2.5 SunburstChange the scene while protecting the essential details
A controlled Sunburst edit starts with a preservation list. Define the face, pose, product shape, camera angle or layout that cannot move, then describe only the intended transformation.
Preserve the child's identity, expression, seated pose, framing, studio backdrop and natural skin texture. Replace the red polo with a formal white tuxedo, black lapels and a black bow tie. No extra people, no text, no change to facial features.
Where GPT Image 2.5 Sunburst earns the extra time
Use Sunburst for selected assets where brand details, information structure and polish carry more value than producing the largest number of drafts.
Premium campaign creative
Develop hero invitations, posters and launch artwork with explicit copy, layout, material and finish requirements.
Polished product explainers
Combine a product or technical subject with labels and visual hierarchy while references protect the core design.
Controlled art direction
Hold lighting, palette, camera and hero details together, then refine one variable at a time.
Write Sunburst prompts with explicit constraints
Precision improves when the brief distinguishes mandatory details, flexible choices and forbidden changes. Write the prompt in that order.
Prompt formula
Final deliverable + protected details + requested changes + composition and camera + exact text + materials and lighting + output constraints + exclusions
Example for a premium product edit
Using reference 1 for the exact perfume bottle shape and label, reference 2 for the pale green marble surface, and reference 3 for the lighting mood, create a 4:5 luxury campaign image. Preserve the bottle proportions, cap, logo placement and the exact label text "VERDANT No. 07". Place the bottle upright in the center with two fresh fig leaves behind it and a narrow beam of morning light from the left. Editorial still-life photography, realistic glass refraction, restrained ivory and sage palette, generous negative space above, no extra bottles, no duplicate leaves, no added copy.
Lead with protected details
List the identity, product geometry, label, camera or composition that must remain unchanged before describing the edit.
Map each reference
Number uploads and explain each role. Avoid blending them equally when one controls identity and another lighting.
Refine one issue per pass
Request a narrow correction to copy, material, scale or placement while repeating the details that cannot move.
Create with Sunburst in three steps
Prepare a precise brief, generate at an economical setting when appropriate and reserve the highest quality for the selected final direction.
01
Separate fixed and flexible details
Define the deliverable, what must be preserved, what should change and which choices remain flexible.
02
Configure the real output
Assign reference roles and select the actual ratio, pixel size, background, format and output count.
03
Inspect and make a focused edit
Review identity, text, packaging and reflections at full size. Correct the weakest element without reopening settled decisions.
Sunburst controls and live pricing
The upstream GPT Image 2.5 service uses token-based billing. ReelCine estimates credits from size, quality and output count and displays the current total before you generate.
| Control | Available values | How to choose |
|---|---|---|
| Reference images | Up to 16 | Use fewer, clearly assigned inputs when they fully define the subject and direction. |
| Output count | 1, 2, 3 or 4 images | One suits a controlled edit; several help compare final directions. |
| Resolution | 1K, 2K or 4K | Choose 2K or 4K when surface detail and the final placement need close inspection. |
| Dimensions | 15 ratios or exact pixels | Compose for the real placement instead of generating a generic frame. |
| Quality | Auto, Low, Medium, High, XHigh, Max | Higher quality uses more tokens and credits; apply it after the direction is settled. |
| Format and background | PNG, JPEG or WebP | Choose background behavior by format; JPEG and WebP also support compression. |
Choose Sunburst or Flare by the cost of a mistake
The two models share the provider's GPT Image 2.5 pricing table in ReelCine. Choose between them according to the amount of control and iteration speed the job requires.
| Decision | GPT Image 2.5 Sunburst | GPT Image 2.5 Flare |
|---|---|---|
| Primary goal | Extra precision, tighter editing control and polish for selected final assets. | Faster creation and iteration for everyday or high-volume generation. |
| Reference sensitivity | Prefer when identity, product form and small protected details are central to the brief. | Prefer when references guide a faster exploration and several directions need review. |
| Typical output | Premium campaign creative, polished product imagery and demanding edits. | Social concepts, creator content, prototypes, search experiences and broad variant sets. |
| Time tradeoff | Accept a longer generation time when a narrower, more controlled result has higher value. | Minimize waiting when quick feedback and repeated generation drive the workflow. |
Precision still requires review
Sunburst can give the model a more demanding assignment, but the final responsibility for text, facts, rights and brand accuracy remains with the creator.
- Proofread every name, date, price, measurement, label and translated phrase before publishing.
- Compare identity, product geometry, logos and protected details directly against the source references at full resolution.
- Inspect hands, jewelry, reflections, repeated objects, small diagrams, packaging edges and transparent boundaries.
- Generated typography and layouts are flattened pixels. Rebuild critical copy and editable layers in a design tool when exact production control is required.
- Upload only material you have permission to use and complete the appropriate commercial, legal and factual review for the final asset.
GPT Image 2.5 Sunburst questions
What is GPT Image 2.5 Sunburst?
GPT Image 2.5 Sunburst is OpenAI's precision-focused model for extra editing control and polished work such as premium campaign assets and product imagery.
How is Sunburst different from GPT Image 2.5 Flare?
Sunburst prioritizes precision and can take longer. Flare prioritizes speed, iteration and volume. Both share ReelCine controls and provider pricing logic.
Can Sunburst preserve a person or product while editing?
GPT Image 2.5 improves subject preservation. Identify every stable feature, assign each reference a role and compare the result directly against the source.
How many references can I use?
ReelCine accepts up to 16 references. More inputs help only when their roles are clear; conflicting references can make the brief harder to follow.
Can Sunburst generate multiple images in one request?
Yes. Select one to four outputs. Estimated credits update before generation according to output count, size and quality.
What resolutions and dimensions are supported?
Choose 1K, 2K or 4K, one of 15 aspect ratios or supported exact pixel dimensions. Set the destination frame before generation.
Can GPT Image 2.5 Sunburst make transparent assets?
Yes. Select a transparent background with a compatible format, then inspect fine edges such as hair, glass, smoke and soft shadows.
How much does Sunburst cost in credits?
Sunburst has no fixed per-image price. ReelCine estimates credits from upstream token usage based on resolution, quality and output count and displays it first.
When should I use XHigh or Max quality?
Use XHigh or Max after the direction is approved and fine texture or typography needs close inspection. Lower settings are more economical for exploration.
Does Sunburst guarantee exact text and perfect reference fidelity?
No image model guarantees perfect text or identical reference reproduction. Names, numbers, identity and brand details still require human inspection.
Sources and image provenance
Sunburst positioning and GPT Image 2.5 capability claims come from OpenAI's official launch and API documentation. ReelCine controls and billing behavior reflect the current APIMart-backed integration. Images are published family examples and are not labeled as Sunburst-only benchmarks.
Give the final brief to Sunburst
Define the protected details, assign each reference a role and generate at the actual delivery size. Raise quality when the selected direction is ready for final inspection.
Create with GPT Image 2.5 Sunburst