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  1. GPT Image 2.5 Sunburst Image Generator

GPT Image 2.5 Sunburst Image Generator

Build an image around the details that matter with GPT Image 2.5 Sunburst. Start with a written brief or reference pictures, and describe the layout, objects and features you need to inspect.

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Use up to 16 reference images. Describe what to keep and what to change in your prompt.
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Drag & drop images here or click to select

Support all image formats and support multiple selection

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*Prompt

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*Aspect Ratio

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Choose a template and click generate to start your AI creation journey

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An image generator for a carefully defined brief

The GPT Image 2.5 Sunburst image generator is a place to develop a visual with explicit requirements: a product at a particular angle, a campaign composition with space for copy, or an illustration whose parts need to fit together. Define those requirements before generating so you can judge the output against something more useful than a general impression.

Sunburst is the GPT Image 2.5 option focused on precision in detailed creative and editing work. This page supports text to image for new compositions and image to image for reference-led work. It does not remove the need to check a result. Labels, small objects and repeated design elements can still differ from what you intended.

Use the AI image generator in two passes: establish the composition, then inspect the critical details. Decide whether the subject reads clearly at thumbnail size before checking texture at full size. A visually detailed picture is not necessarily a useful campaign image if the headline area is crowded or the product is hard to recognize.

How to plan GPT Image 2.5 Sunburst image generation

Make a short checklist of requirements and use it throughout the review.

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Separate essentials from preferences

Tell the image generator which details define success. For a product scene, these might be the bottle shape, label position and empty space beside it. Then add preferences such as warm light or a stone surface. This order makes a complex brief easier to revise.

2

Choose text or visual references

Use text to image when the design is new. For image to image, upload references and explain which one controls the subject, composition or style. GPT Image 2.5 Sunburst supports up to 16 pictures here, but only include inputs that contribute a distinct piece of information.

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Check layout first, details second

Select output size and aspect ratio, review the credit cost, and generate. Check the composition at its intended display size. Then zoom in on text, geometry and important features. Keep the original brief beside the result so an attractive image does not distract from a missing requirement.

Where a detailed image brief pays off

Use image generation to solve a defined communication problem, then review the details that carry the message.

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Product imagery with specific design cues

Describe the product silhouette, material and light direction. In reference-led image generation, say which label and surface details should remain recognizable. GPT Image 2.5 Sunburst can help explore the scene, but inspect the actual package before treating an output as an accurate product representation.

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Campaign compositions with a hierarchy

Ask the AI image generator for one dominant subject, a clear supporting element and room for a short message. State what belongs in the foreground and what should stay quiet. This helps you evaluate a composition before committing to final typography and layout work.

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Illustrations with interacting elements

For a scene with several objects, describe their spatial relationships rather than only listing them. Text to image instructions such as “the ladder leans against the wall behind the bicycle” give each item a role. Check that those relationships survive in the final image.

GPT Image 2.5 Sunburst image generator FAQ

When should I choose Sunburst instead of Flare?

Use GPT Image 2.5 Sunburst when detailed creative control and editing precision are central to the brief. Flare is the everyday option. Both image generators use the same credit tiers here; compare the same input if you want to judge a particular detail rather than relying on the model name.

How much does GPT Image 2.5 Sunburst cost?

The image generator costs 1 credit per image at 1K, 2 at 2K and 3 at 4K. One submission returns one output. The panel shows the total before generation, and a revised submission uses another set of credits.

Can Sunburst generate images from a text prompt?

Yes. Text to image works without uploads on this page. Specify the subject, arrangement, visual style and lighting. For precise real-world objects, reference pictures often communicate appearance more clearly than an increasingly long written description.

Can GPT Image 2.5 Sunburst use several references?

Yes, image to image supports up to 16 pictures here. Give each a role and resolve conflicts in your prompt. For example, identify one as the product reference and another as the setting instead of asking for an unspecified blend of both.

Does Sunburst guarantee correct text and exact details?

No image generator should be treated as a substitute for proofreading. Quote short text, specify its position and inspect the output. For a document, diagram or package where each character matters, add final copy and verified information in your normal design workflow.

Is 4K available, and does it mean the same dimensions every time?

The GPT Image 2.5 Sunburst page offers a 4K tier alongside 1K and 2K. Aspect ratio changes the shape of the output, so a square and a wide image do not share the same dimensions. Choose the format for the actual placement.

Where can I find a result if I leave the page?

Completed images are available in your profile. Image generation continues after you leave this page. Check an existing task before submitting it again; a confirmed failure refunds credits, while a temporary delay remains under background review.

Define the details before the first render

Use GPT Image 2.5 Sunburst with a clear composition and a short list of must-have features. Review the output against that list before making another version.