MODEL SPOTLIGHT
GPT Image 2.6
Create from words. Transform a reference. Explore GPT Image 2.6 Sunburst and Flare in one workspace, with real examples of portraits, poster lettering and image editing.
1K & 2K in Imagine2 · up to 3 references · preview and download
Imagine2 creative engine
Create and edit with GPT Image 2.6
Choose Sunburst or Flare. Start from text, upload one reference for editing, or combine two to three references.
Output darkroom
ReadyImagine2 originals · Generated with the built-in image tool
Results stay private, expire after 24 hours, and can be saved for 30 days.
From a brief to a visual.
Original Imagine2 examples generated with the built-in image tool. Click an image to view it at a larger size and read or copy the complete prompt. The editing result was made from the exact reference displayed alongside it.
A portrait with woven lettering
Text to image
Typography made part of the composition
Text to image
A paper ticket becomes a miniature railway
We first generated the flat Imagine2 ticket shown on the left, then used that exact image as the reference for a paper pop-up edit. Compare the preserved brand lettering, ticket stub and tabletop with the newly raised train, bridge and waves. Click the reference or result to view its complete generation prompt or editing instruction. Upload your own reference to try the editing workflow.
Choose Sunburst or Flare
Sunburst: start with a deliberate brief
Kie lists Sunburst as the option for refined visual work and Flare as the faster alternative. Treat that positioning as a starting point for choosing a variant, rather than a promise that every prompt will produce a better result. For GPT Image 2.6, begin with a specific deliverable: a product scene, a poster concept, or an illustration with a defined composition. Decide which details must survive review before you spend time on variations. A short list of requirements is easier to evaluate than a collection of unrelated style adjectives.
Flare: compare against the same brief
If you want to compare the two variants, keep the subject, composition, requested format, and review criteria unchanged. Record which version you used alongside the prompt so the comparison remains useful later. Look for the result that meets your actual brief: the right placement of objects, an appropriate crop, convincing materials, and space for any text you intend to add. This page does not contain a measured speed comparison or a quality ranking. Your own acceptance criteria should determine which output you keep.
Plan the output before generating
Resolution and framing
The provider documentation lists 1K, 2K, and 4K resolution tiers for GPT Image 2.6 Sunburst. Choose a frame that matches the destination before refining small details. A landscape website image, a square catalog image, and a tall social post need different arrangements of the same subject. Describe the intended crop and where the important objects should sit. Keep faces, labels, and essential details away from edges that may be trimmed. Higher resolution does not repair a composition that leaves no room for the page design around it.
Formats and backgrounds
The documentation offers several output formats and restricts the background setting to the 1K tier. Check the controls on the provider page when preparing a request. For a web asset, consider how the file will be displayed, compressed, and placed against your site background. Keep an original download before you resize or convert a copy. Check the actual exported file for the properties you need, especially transparency and fine text. A requested setting is not a substitute for inspecting the delivered image in its intended context.
Build a prompt you can evaluate
Subject and composition
Write the subject first, then describe its relationship to the scene. Instead of asking for a beautiful campaign image, specify the product, the surface it rests on, the camera angle, and the empty space needed for a headline. Use a small number of concrete constraints that you can check visually. If the subject has a distinctive silhouette or a visible label, state which elements matter most. Avoid contradictory instructions such as a tight close-up with a full view of a large environment unless you explain how the two should fit together.
Light, materials and text
Add lighting and material cues after the layout is clear. Soft window light, brushed metal, translucent glass, and matte paper describe observable qualities; a long chain of superlatives usually gives you less to review. When lettering matters, quote the exact words and explain their hierarchy. Keep critical legal text, prices, and final brand typography in an editable design file where you can verify every character. GPT Image 2.6 can be part of a visual workflow without making the generated image your only source file or your final approved artwork.
Three briefs to start from
Product still life
Try a sculptural ceramic vase on a pale stone plinth, photographed from slightly above, with warm side light and a quiet dark background. Ask for visible clay texture and reserve a clean area for later typography. Review the rim, base, and shadow before judging the overall mood. If the object looks unstable, revise its placement rather than adding more descriptive language. This is a suggested prompt brief, not an image generated with GPT Image 2.6, and it does not demonstrate a tested capability or a guaranteed result.
Editorial poster
Build a fictional event poster around one dominant object and one clear reading direction. Describe the background color, the position of the object, and the space needed for the event title. Start without dense small print so you can assess the visual hierarchy. Add the final date, venue, and ticket information in your design editor after choosing the composition. Save both the prompt and the edited artwork; they serve different purposes. Keeping the text editable also makes it easier to reuse the campaign in another language or aspect ratio.
Illustrated environment
Describe a small bookshop at dusk with a warm interior, a few recognizable shelves, and a limited color palette. Pick a viewpoint that makes the relationship between the entrance and the room understandable. Review perspective, repeated objects, and the path a viewer follows through the scene. If you need a consistent setting across several assets, maintain a written description of its defining features. Change one meaningful part of the brief at a time so you can understand what helped. These briefs are starting points for your own evaluation, not a gallery of verified outputs.
From draft to usable asset
Review, iterate and export
Inspect a candidate image at both its intended display size and a closer crop. A detail that looks acceptable in a thumbnail may become distracting in a large hero image. Check object boundaries, repeated structures, reflections, hands when present, and the accuracy of any lettering. Then place the candidate in the actual layout before approving it. Leave enough room for responsive cropping on smaller screens. Keep notes about what failed, and rewrite the relevant part of the prompt instead of changing every instruction at once.
Keep a useful production record
Keep the prompt, model variant, reference files and original result together when you develop an asset. For editing, state which parts should stay fixed and which should change, then inspect the result alongside the source. Save a copy before making another revision so you can compare outcomes. The examples on this page were created for Imagine2 using the built-in image tool, with the exact prompts available in the image preview. Your generated results will appear in your own workspace and history. Before publishing, check lettering, image dimensions, material detail and whether the result still matches the original creative brief.
Pricing and availability
Provider billing and Imagine2 credits
GPT Image 2.6 uses the same Imagine2 balance as the other models, with its own visible credit schedule. Sunburst and Flare each cost 7 credits for a 1K output or 10 for a 2K output, with no additional reference-image charge. Increasing the number of outputs increases the output portion of the charge. The workspace shows the total before submission. These are Imagine2 product prices rather than a direct conversion of Kie’s token rates. Native 4K output is not offered in this initial integration.
Model options and availability: Kie documentation. Check the provider for current pricing and supported settings. Kie · GPT Image 2.6 Sunburst
Frequently asked questions
Can I generate GPT Image 2.6 images inside Imagine2?
Yes. Select Sunburst or Flare in the workspace above, enter a prompt, and sign in to generate. Switch to editing to upload one reference, or multi-image mode for two to three references. Availability also depends on the configured provider.
Does this page offer 4K or transparent exports?
The Imagine2 workspace currently offers 1K and 2K PNG output for GPT Image 2.6. The provider also documents 4K, but that setting and transparent-background controls are not offered here yet.
Can I use my existing Imagine2 credits?
Yes. GPT Image 2.6 uses your Imagine2 credit balance. One 1K output costs 7 credits and one 2K output costs 10. Reference images have no additional charge. Review the total estimate before submitting.
How were these examples made?
We generated these original Imagine2-branded examples using the built-in image tool. The paper pop-up result is an edit of the displayed ticket reference. Click each image to view and copy its complete prompt. These are not Kie-supplied examples or a test of the Imagine2 API; a new generation may produce a different result.