AI Models · openai

OpenAI GPT-Image 2.6 Sunburst

Detailed image generation and precise edits with controllable planning.

10 CR / RUN · openai · 21.6K RUNS

OpenAI GPT-Image 2.6 Sunburst

About

gpt-image-2.6-sunburst is OpenAI’s image model for creating detailed compositions and making precise edits. It works from text prompts and image inputs, giving you a flexible way to generate new visuals or refine existing ones.

A standout control is complexity, which lets you adjust how much the model plans before rendering. With options for aspect ratio, background, output format, multiple images, and frame settings, it fits a wide range of creative and production workflows.

Strengths

  • 01Designed for detailed compositions
  • 02Supports precise image editing
  • 03Works with text and image inputs
  • 04Complexity setting adds planning control
  • 05Flexible output and aspect ratio options
  • 06Can generate multiple images in one run

Example prompts

Create a detailed cinematic portrait of a violinist in a sunlit art deco theater, rich textures, dramatic shadows, elegant gold and teal palette.

Try this prompt

Using the input image as a base, precisely replace the background with a clean modern studio while preserving the subject’s pose, lighting, and clothing details.

Try this prompt

Design a polished product hero image of a glass perfume bottle on a reflective surface, soft gradients, luxury editorial style, high detail.

Try this prompt

Generate a wide fantasy landscape at sunrise with layered mountains, a winding river, tiny travelers on a bridge, and intricate environmental detail.

Try this prompt

Use cases

Concept Art

Turn text ideas into richly composed scenes with fine visual detail. The complexity control can help when you want more deliberate planning before rendering.

Targeted Image Edits

Use image inputs to make focused changes while keeping key elements intact. This is useful for background swaps, refinements, and composition adjustments.

Marketing Visuals

Create polished campaign, product, or editorial-style images in different aspect ratios and formats. Multiple output controls make it easier to match channel requirements.

Animated Frame Generation

Frame count and frame duration settings support workflows that need image sequences. It can be a practical option for simple motion-oriented outputs.

FAQ

Related models