Product advertising
Place a product into a new campaign scene while preserving its recognizable geometry and details.
GPT Image 2.5 · Available now
GPT Image 2.5 AI Image Generator
Create polished images from text, transform existing visuals, and make controlled edits with GPT Image 2.5. Choose Sunburst for demanding precision or Flare for faster everyday generation.
GPT Image 2.5 overview
What is GPT Image 2.5?
GPT Image 2.5 is OpenAI's image-model family for creating original visuals and making controlled changes to existing images from text and visual references. It includes two models for different production priorities: Flare emphasizes faster iteration, while Sunburst offers a higher quality ceiling for demanding generation and precision-focused editing.
GPT Image 2.5 Flare
FasterFlare is the small, speed-optimized model for high-quality everyday generation. It is designed for quick creative exploration, repeated variations, and production workflows where faster feedback keeps ideas moving.
Best for: early concepts, social creative, rapid variations, and higher-volume image production.
GPT Image 2.5 Sunburst
PrecisionSunburst is the quality-focused base model for more demanding images and deliberate revisions. Choose it when fine detail, visual polish, and preserving the intent of an existing image matter more than the fastest turnaround.
Best for: hero imagery, product campaigns, complex compositions, and precision-heavy editing.
Core capabilities
GPT Image 2.5 Features
Move from a written idea to a finished visual, or bring references into a more structured editing workflow. GPT Image 2.5 combines flexible inputs with practical controls for composition, fidelity, output size, and delivery format.
Text-to-image generation
Start with a natural-language brief and develop it into polished photography, illustration, advertising, or design concepts. Describe the subject, composition, lighting, mood, and required details in one creative direction.
Reference-based editing
Use up to 16 images to guide a new composition or transform an existing visual. References can establish identity, product shape, color, style, or layout while your prompt explains how those elements should work together.
Subject preservation
Identify the people, products, shapes, and signature details that should remain recognizable during an edit. This makes it easier to explore a new setting or treatment without losing the visual anchors that define the original.
Masked local edits
Upload an alpha PNG mask to focus regeneration on a specific part of the first reference image. Transparent pixels mark the editable region, while the rest of the composition can remain visually anchored.
Flexible image output
Choose from common portrait, square, landscape, and cinematic ratios with 1K, 2K, or 4K pixel budgets. Export the finished result as PNG, JPEG, or WebP to match the next stage of your workflow.
Five quality levels
Move from low and medium settings for fast exploration to high, xhigh, and max when final images need more rendering effort. The broader quality ladder lets each job balance turnaround, detail, and production cost more deliberately.
Creative workflows
What can you create with GPT Image 2.5?
Move from a short brief or reference image to campaign concepts, product visuals, structured graphics, and controlled revisions.
Character and fashion edits
Change wardrobe, setting, or styling while explicitly protecting identity and pose.
Posters and in-image text
Build editorial layouts, campaign concepts, and visual compositions that include required copy.
UI and product concepts
Explore interface directions, landing-page visuals, packaging, and early product presentation ideas.
Educational visuals
Turn a process or lesson into a diagram, infographic, or structured classroom illustration.
Product presentation
Create polished studio-style product visuals for campaign concepts, catalogs, and presentation mockups.
GPT Image 2.5 vs GPT Image 2
What improved in GPT Image 2.5?
GPT Image 2.5 turns one model into a more purposeful two-model workflow, while strengthening the precision, consistency, and quality control that matter in reference-driven production.
01
GPT Image 2.5 improvement
More precise editing
Both GPT Image 2.5 models are designed to make requested changes more precisely, so replacing an object, adjusting a color, or refining one region is less likely to disturb an approved composition. That means cleaner revision loops and less manual repair afterward.
02
GPT Image 2.5 improvement
Stronger subject preservation
Reference-led generations can hold on more reliably to faces, product silhouettes, materials, and other defining details while the surrounding scene changes. This gives teams a stronger foundation for consistent campaign variants and iterative edits.
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GPT Image 2.5 improvement
A higher quality ceiling
Sunburst is the quality-focused base model, with overall image quality positioned above GPT Image 2. It is the better fit for polished hero imagery, fine textures, complex lighting, and precision work where fidelity matters more than turnaround time.
04
GPT Image 2.5 improvement
A faster production path
Flare is the speed-focused small model, built for faster iteration while retaining image quality comparable to GPT Image 2. It suits concept exploration, variant testing, and everyday production when getting to more useful options sooner matters most.
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GPT Image 2.5 improvement
Finer quality control
The expanded low, medium, high, xhigh, and max ladder makes it easier to match rendering effort to the job. Use lighter tiers for drafts and reserve the upper tiers for final visuals where subtle detail, surface quality, and finish justify the added cost.
Source: OpenAI's GPT Image 2.5 prompting guide. Actual speed and output quality depend on the prompt, references, dimensions, and selected quality.
Frequently asked questions
GPT Image 2.5 FAQ
1
What is GPT Image 2.5?
GPT Image 2.5 is an OpenAI image-model family for generating and editing images from text and image inputs. The family includes GPT Image 2.5 Flare and GPT Image 2.5 Sunburst.
2
What is the difference between GPT Image 2.5 Sunburst and Flare?
Choose Flare when speed is the priority. Choose Sunburst when a demanding generation or precision-heavy edit needs the strongest available image quality and detail preservation.
3
How is GPT Image 2.5 better than GPT Image 2?
OpenAI documents improvements in precise editing and subject preservation. Sunburst raises the image-quality ceiling, while Flare provides a speed-optimized option with quality comparable to GPT Image 2. GPT Image 2.5 also adds xhigh and max quality settings.
4
Can GPT Image 2.5 edit an existing image?
Yes. Upload one or more reference images, describe what should change, and state what must remain unchanged. You can also add a matching alpha PNG mask for a targeted local edit.
5
How many reference images can I upload?
The current GPT Image 2.5 route accepts up to 16 JPEG, PNG, or WebP reference images per request. Each reference image contributes to image-input usage.
6
Does GPT Image 2.5 support 4K output?
GPT Image 2.5 supports output pixel budgets up to 8,294,400 pixels with a maximum edge of 3,840 pixels. OpenAI currently marks outputs above 2,560 by 1,440 pixels as experimental.
7
Will I be charged credits if image generation fails?
No credits are deducted when the generation process fails and no image is produced. Once generation completes and an image is delivered, credits are deducted even if the result does not match your expectations because of the prompt, reference images, or selected settings. Completed generations are not eligible for a credit refund.
Create your first image with GPT Image 2.5
Choose Flare for fast creative exploration or Sunburst when precise editing and demanding image quality come first.
Generate with GPT Image 2.5