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OraclipOraclip

GPT Image 2.6 Image Generator

GPT Image 2.6 is OpenAI’s November 2026 image model family for generating pictures from text and revising existing images. On Oraclip, GPT Image 2.6 Economy is a fixed-price route for 1K stills. Start with a description or add reference images to guide what changes and what stays recognizable.

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Oraclip settings and credits

Model maker
OpenAI
Output resolution
1K
Maximum reference images
16
Credits per image
1K · 26
Oraclip credit plans

Official OpenAI Images 2.6 demos

These videos illustrate the wider OpenAI release. The Oraclip workbench above produces 1K still PNG images.

Travel poster speed comparison · OpenAI
Hand-drawn owl animation · OpenAI
Image editing walkthrough · OpenAI
OpenAI Images 2.6 release

What changed in GPT Image 2.6

OpenAI’s release focuses on shorter iteration cycles and better preservation of small details through edits. Its official API offers Flare for interactive generation and Sunburst for work that calls for more precision. An easy way to evaluate this change is to edit the setting of a photo while keeping the same object, camera angle and proportions. Inspect the lettering, edges and small details against the original after each revision.

What can you make with GPT Image 2.6?

Use it for a product photo on a new background, a still illustration based on a sketch, a portrait in a new style, or a poster layout. For a product edit, name the details the viewer needs to recognize, such as the cap, the label and the shape of the bottle. For a poster, quote the headline exactly and say where it should sit. Review generated spelling before publishing.

How to generate a new image

Describe the subject, framing and lighting before adding decorative details. If the image is going into a specific layout, choose the aspect ratio first. Leave extra space for copy or overlays if the design calls for them. Start with one output, then change one requirement per revision so you can see which change improved the image.

How to edit an image with references

Upload the main image first and name its role in the prompt. If you add another reference, specify whether it controls color, background, composition or the subject itself. For example, use Image 1 for the object and Image 2 for lighting only. When the result drifts from the source, restart with the original image and narrow the edit to one or two changes.

When to choose Economy or another image model

Economy makes sense when 1K is enough for a concept, social post or quick edit. For a project that needs a larger output, compare the resolution choices on GPT Image 2 or Nano Banana 2.1 before starting. Keep a copy of the original and check how each candidate handles your own references. A good product photo needs recognizable geometry and accurate labels as much as an attractive backdrop.

What the OpenAI demos show

The demos come from OpenAI’s release. The travel-ad example compares generation latency at accelerated playback. The owl example shows an animated sketch. The editing walkthrough illustrates OpenAI’s image controls. These demos cover the wider release family. Oraclip’s Economy workbench produces still PNG images and accepts prompt-based edits.

A prompt to try

Create a 3:2 studio photograph of a cobalt desk radio on an ivory surface. Keep its compact rectangular body, orange dial and fine speaker holes distinct. Use soft window light from the left, a gentle shadow and a plain background. Leave the right third clear for a headline. Do not add text.

Frequently asked questions

What is the difference between GPT Image 2.6 Economy, Flare and Sunburst?

Flare and Sunburst are OpenAI API variants. Oraclip uses the Kie Economy route, with its own fixed price, 1K output and supported controls.

Can I use GPT Image 2.6 for GIFs or SVGs on Oraclip?

This workbench exports still PNG images. GIF, SVG and markup controls shown in OpenAI’s release belong to the official Images API.

Can I edit only the background?

Upload your reference and describe the background change and the details you want to keep. The model can redraw parts of the image, so compare the result with your source.

Sources and related models