GPT Image 2.5 - AI Image Generator

Create detailed images, coherent layouts, and reference-led edits. Choose Flare for faster ideas or Sunburst for precise finishing.

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GPT Image 2.5 promotional artwork with a portrait, chrome lettering, and blue and pink creative variations

GPT Image 2.5 examples

Explore expansive scenes, detailed materials, and imaginative compositions with GPT Image 2.5.

A retrofuturist illustration of a family overlooking a vast space habitat with forests, lakes, and a distant city

Worlds with depth

Build expansive scenes with a clear sense of perspective, light, and scale.

A blue and gold mosaic of Earth beneath a starry sky, with textured tiles, planets, and a spiral galaxy

Texture in every detail

Explore intricate materials, rich color, and a consistent visual style across the whole composition.

A person floating beneath an upside-down futuristic city in a luminous blue night sky

Make an unexpected idea visible

Bring unusual viewpoints and imaginative compositions together in a coherent image.

A wide futuristic cityscape with illuminated towers, elevated roads, flying vehicles, and a person on a wet balcony

Cinematic light and atmosphere

Shape a scene with layered architecture, reflections, dramatic lighting, and a clear focal point.

Key features of GPT Image 2.5

See how GPT Image 2.5 transforms reference images across five editing examples. Move each slider to compare the input with the result.

The same child wearing an ivory tuxedo and black bow tie, with the original pose and blue backgroundA printed portrait of a child in a red shirt against a blue background
InputResult

A new outfit, the same familiar face

Turn a familiar portrait into a new look while keeping the person recognizable. This example changes a child’s red shirt into an ivory tuxedo and bow tie, preserving the pose, expression, and blue backdrop. A focused instruction gives the model a clear change to make and a clear set of details to keep.

  • Change clothing and styling without rewriting the whole portrait.
  • Name the face, pose, and backdrop you want to preserve.
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The same dog on the patio wearing a white stunt suit and helmet with red and blue stars and stripesA small cream-colored dog on a leash among patio chairs in bright sunlight
InputResult

Give a pet a playful new look

Dress a familiar pet for an imaginative scene while keeping its appearance and surroundings recognizable. The dog gains a white stunt suit and helmet with red and blue details, while the sunny patio and the dog’s stance stay connected to the reference. It is a useful way to explore themed portraits and playful creative variations.

  • Describe the costume, materials, colors, and small details.
  • Keep the pet’s features, stance, and setting as your reference.
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A full headshot of the smiling woman in a magenta top and pendant necklace against green paneled doorsA hand holds a printed photobooth portrait of a smiling woman in a magenta top in front of green doors
InputResult

Bring a printed portrait into a new frame

Use a photographed print as the starting point for a cleaner portrait. Here, the input is a hand-held photobooth photograph; the result brings the subject into a full image while retaining her expression, magenta top, necklace, and green backdrop. The reference supplies the identity and visual details for a more direct composition.

  • Use an existing photograph as the guide for identity and expression.
  • Refine framing while carrying through clothing and background details.
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The three men standing shoulder to shoulder in a candid indoor party photographThree separate reference photographs of men in a restaurant, at a coastal overlook, and by a waterfront at night
InputResult

Bring separate references into one scene

Combine people from separate photographs into a shared composition. Three individual references become one candid party photo, with the people posed together under consistent indoor lighting. This example shows how multiple image inputs can guide recognizable subjects, their placement, and the atmosphere of a new scene.

  • Provide a clear reference for each person you want to include.
  • Describe their arrangement, the setting, and the shared lighting.
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The same bedroom with smooth bedding and neatly arranged pillows, preserving the room and furnitureAn unmade bed with rumpled white bedding and scattered pillows in a softly lit bedroom
InputResult

Refresh the details of a familiar room

Make a targeted change to an interior while keeping the overall scene recognizable. The rumpled bedding becomes neatly arranged, while the room, furniture, camera angle, and lighting stay consistent. It is a clear example of refining a small part of an image for interior concepts, lifestyle visuals, or a more polished presentation.

  • Give the edit a narrow scope, such as tidying the bedding.
  • Specify the furniture, viewpoint, and lighting that should remain.
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How to use GPT Image 2.5

Create a new image or refine a reference in three steps.

  1. 01

    Choose Flare or Sunburst

    Start with Flare for quick exploration, or choose Sunburst when the edit needs extra precision.

  2. Describe it. Add references.

    02

    Describe it. Add references.

    Specify the subject, composition, lighting, and style. Add reference images when a person, product, or existing design should guide the result.

  3. Generate, review, and refine

    03

    Generate, review, and refine

    Choose the ratio, output tier, and image count. Review the credit cost, generate, then download or use the result for another edit.

Made for the images your work needs

Create campaign visuals, product concepts, portraits, and structured graphics with a brief you can keep refining.

A wide collection of eight vintage-style US national park stamps with coordinated illustrations and readable place names

Advertising with a clear message

Build an ad around a real headline, a product or subject, and a clear visual hierarchy. Specify where the copy belongs and keep the palette consistent across a series. Flare is a practical starting point for exploring different campaign directions. Once a layout works, use a reference to adjust the headline, background, or styling while preserving the parts you want to keep. Review the final text at the size it will actually be seen.

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Three friends posing together at an indoor party in a candid photograph

Portraits with a new perspective

Use a photograph as the starting point for a studio portrait, a cinematic treatment, or a playful change of era. Name the details that define the person, then describe the outfit, lighting, and setting you want to change. Sunburst is suited to careful refinements where recognizable features matter. Keep the source image available and compare each new version before using it as the reference for another edit.

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A neatly made bed with smooth white bedding and arranged pillows in a softly lit bedroom

Product and interior visuals

Give products and interiors a consistent visual setting for catalogs, campaigns, and lifestyle images. Start from a reference when furniture, materials, colors, or a product’s shape need to carry through. Ask for a controlled change, such as tidier bedding, a softer shadow, or a different surface. The bedroom example shows how a small change can refresh a scene while keeping its overall layout recognizable.

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A landscape presentation explaining solar flares with labeled diagrams and an image of the Sun

Information graphics with structure

Turn an explanation into a diagram, a presentation visual, or an early interface concept. Describe the reading order, the number of panels, and the exact labels before asking for a visual style. Sunburst can be useful when placement and editing precision are central to the brief. Generated interface concepts are visual references for the next design stage; check the information and recreate production layouts in your design tools.

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GPT Image 2.5 Flare vs. Sunburst

Move quickly through ideas, or spend more time on the details that make a finished image.

GPT Image 2.5 Flare

Keep up with your ideas

Flare is the everyday choice for fast, high-quality generation. OpenAI reports 50% lower latency than GPT Image 2, with improvements in image quality and editing.

  • Explore concepts and visual directions quickly
  • Create social posts, posters, and product variations
  • Edit from reference images in the same studio
Try Flare

GPT Image 2.5 Sunburst

Make the details count

Sunburst is designed for creative work that needs extra precision. Give it more generation time for carefully directed edits, campaign visuals, and polished product imagery.

  • Make focused edits while preserving surrounding details
  • Keep subjects and visual identity consistent
  • Refine campaign and product images for final delivery
Try Sunburst

GPT Image 2.5 vs. GPT Image 2

Keep the same image workflow and choose the improvements that matter to your next project.

What mattersGPT Image 2GPT Image 2.5
Creative choiceA single model for generation and reference-based edits.Flare for fast everyday creation; Sunburst for detailed finishing and editing.
Iteration speedThe comparison baseline in OpenAI’s Images 2.5 release.OpenAI reports 50% lower generation latency for Flare.
Reference fidelityUse input images to guide subjects and compositions.Improved subject recognition, more natural lighting, and richer textures from references.
Targeted changesPrompt-based image edits in the same studio.More reliable editing instructions with better preservation of surrounding details.
Studio workflowGenerate, use references, download, and revisit History.The same workflow, with Flare and Sunburst as separate model choices.

Speed comparisons refer to OpenAI’s Flare announcement. Actual time depends on the request; Sunburst prioritizes precision and takes longer. Read the official announcement

Frequently asked questions

What is GPT Image 2.5?

GPT Image 2.5 is OpenAI’s image generation and editing model family. Create images from a text prompt or use reference images to guide the result. Choose Flare for fast everyday creation or Sunburst for more precise creative work and detailed edits.

What has improved compared with GPT Image 2?

Images 2.5 improves reference fidelity, natural lighting, textures, and how closely images follow complex visual instructions. Targeted edits preserve surrounding details more reliably. OpenAI reports 50% lower generation latency for Flare than GPT Image 2; Sunburst focuses on extra precision with longer generation times.

Can GPT Image 2.5 generate text inside images?

Yes. Use it for posters, ads, packaging concepts, signs, and graphics that combine visuals with copy. Put the exact wording in quotation marks and describe its position and hierarchy. Keep important text concise, then check spelling, numbers, and placement in the finished image.

Can GPT Image 2.5 edit existing images?

Yes. Add a reference image and describe what you want to change, such as the background, lighting, clothing, colors, or part of the composition. Mention the details that should stay the same to give the edit a clear focus.

Does GPT Image 2.5 support repeated image editing?

Yes. Reuse the latest result as a reference and give the next edit a focused instruction. Images 2.5 is better at keeping earlier changes and surrounding details consistent through repeated edits. Previous versions remain available in the studio’s History so you can compare your progress.

Is GPT Image 2.5 suitable for product images?

Yes. Create product concepts, catalog compositions, packaging studies, and campaign visuals. Use a clear product reference when its shape, color, or branding needs to stay recognizable. Describe the surface, lighting, camera angle, and background, then review fine details such as labels and reflections.

Who is GPT Image 2.5 for?

It is useful for designers, marketers, content creators, e-commerce teams, and anyone developing a visual idea. Use Flare to explore concepts and variations quickly, or choose Sunburst when precise edits and polished final images matter most.

Your next image starts with an idea.

Choose your model, add a prompt, and make something worth keeping.

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