GPT Image 2.5 AI Image Generator

Powered by GPT Image 2.5 Flare. Turn ideas into images faster and create portraits, posters, and product visuals from text or reference images, with more natural lighting and richer detail.

Raphael offers GPT Image 2.5 Flare, OpenAI’s fast image model for everyday creativity. Describe your subject, composition, and style in Raphael, or upload a reference image to place familiar people and objects in new scenes. Choose a size and quality level that suits your task, from exploring ideas to refining the details.

Reference Images (Optional)
0 / 10,000
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Find inspiration in official examples

Images are from OpenAI’s official showcase; prompts are based on the visuals. Choose an example and use its reference prompt to start creating.

Official GPT Image 2.5 example
Surreal science fiction: an upside-down city
Surreal science fiction: an upside-down city
Reference prompt

Create a wide surreal science-fiction scene: an illuminated futuristic city hangs upside down across the top, with skyscrapers and orange-gold lights extending downward. Below it, a person in dark clothing floats horizontally through a deep blue starry sky with thin clouds. Keep the inverted spatial relationship clear, using cool blue and warm gold contrast for a cinematic mood. No text.

Explore style and detail in official examples

Images are from OpenAI’s official release page. The accompanying prompts are visual interpretations for inspiration, not the original official prompts.

Official GPT Image 2.5 example
Follow complex instructions without losing the details

Create a 1950s retrofuturist illustration of a family of three on an observation platform, looking into an enormous cylindrical space habitat. Green hills, lakes, orderly cities, and roads curve upward along its inner surface. Through the opening on the left, show the Sun and a starry sky. Use warm sunlight, cream-colored architecture, soft green landscapes, and detailed painted textures. Wide landscape composition, no text.

Follow complex instructions without losing the details

GPT Image 2.5 is better at combining instructions about subject placement, spatial relationships, color, and visual style into a coherent image. Describe the people in the foreground, architecture in the distance, lighting across the scene, and details you want to include. It is more likely to retain that direction as the brief becomes more specific, making it useful for worldbuilding, advertising concepts, and visuals with a carefully planned composition.

Official GPT Image 2.5 example
Change the scene, keep the people recognizable - Output
Change the scene, keep the people recognizable - Input
BeforeAfter

Using the three adult men in the reference collage, place them in the same indoor party snapshot in their original left-to-right order. Preserve their individual facial features, hairstyles, and glasses. Have them smile shoulder to shoulder, with the men on either side holding red cups. Add a crowded party background, warm room lighting, direct flash, subtle grain, and a nostalgic candid-photo feel. Landscape composition.

Change the scene, keep the people recognizable

When you change the setting, clothing, or visual style of a reference photo, the model is better at carrying over facial features, hairstyles, and other recognizable details. Multiple photos can also provide the subjects for a new composition. This official example brings three people from separate photos into one party snapshot, illustrating a useful approach for themed group portraits and imaginative scenes. Review personal details in the result before using it.

Official GPT Image 2.5 example
Change what you ask for, preserve the rest - Output
Change what you ask for, preserve the rest - Input
BeforeAfter

Make the bed in the reference photo neatly: smooth the white duvet and arrange the pillows against the gray headboard. Preserve the composition, bedside tables, two lamps, window, door, rug, and existing light and shadows. Change only how the bedding is arranged.

Change what you ask for, preserve the rest

Upload a reference image and describe both what should change and what should stay. GPT Image 2.5 is better at making the requested adjustment while preserving surrounding subjects, composition, and lighting. In this bedroom example, the bedding is tidied while the bedside tables, lamps, window, and room layout remain. Use the same approach to replace an object, adjust a background, or change clothing colors, with less unwanted redesign of the surrounding scene.

Official GPT Image 2.5 example
Bring text and imagery into one cohesive design

Design a two-by-four collection of eight vintage US national park stamps: Yellowstone, Grand Canyon, Acadia, Zion, Glacier, Great Smoky Mountains, Denali, and Everglades. Give each stamp a cream perforated border, a prominent park name, and concise location text. Feature a geyser, canyon, coastal lighthouse, red cliffs, snowy mountain lake, misty hills, a caribou, and wetland birds respectively. Use vintage travel-poster colors and print textures on a black background.

Bring text and imagery into one cohesive design

Specify headings, text hierarchy, graphic placement, and visual style together so that the lettering becomes part of the composition. GPT Image 2.5 is better at handling complex layouts while keeping a consistent visual direction across related designs. This stamp collection combines different park scenes, names, and borders into one series. It is useful for poster drafts, infographics, and coordinated visual assets; check spelling, numbers, and factual information before final use.

Explore other models

Switch between top image models in one generator.

Choose a GPT Image model for your next creation

Compare sizes, reference support, and credits across both versions. Identically named quality levels do not imply equivalent image quality.

FeatureGPT Image 2GPT Image 2.5
Resolution1K / 2K / 4K1K / 2K / 4K
Aspect ratios13 options15 options, including 1:3 / 3:1
Quality levelsLow / Medium / HighLow / Medium / High / xHigh / Max
Reference imagesUp to 16Up to 16
Images per generation1–4 images1–4 images
Prompt limit8,000 characters10,000 characters
1K square credits (Low / Medium / High)4 / 24 / 92 credits2 / 5 / 17 credits (50% off)
Reference-image feesNo additional reference-image credits+3 credits per reference, per output image
Best suited forGeneral image creation, posters and product visualsFast everyday creation, reference-based generation and image detail

Credit examples use “cat”, 1K square, one output, and no reference images. Prices are listed in Low / Medium / High order; GPT Image 2.5 prices include the 50% generation discount. Review credits before generating. Identically named quality settings do not imply equivalent image quality.

Choose Your Plan

Free images include a watermark. Upgrade for clean outputs, faster generation, and commercial use.

Pro

-50%
$20$10/month
Billed Annually ·$240$120/year
  • Advanced models after upgrading
    MiniMax H3GeminiNano BananaGPTSeedreamVeoSeedance 2.5Kling
  • 2,000 credits per month
  • Up to 2,000 fast images
  • Up to 250 basic videos
  • Unlimited Seedream 3.5 generations
  • Priority queue
  • No watermarks
  • Batch AI image upscaling
Recommended

Ultimate

-50%
$40$20/month
Billed Annually ·$480$240/year
  • Advanced models after upgrading
    MiniMax H3GeminiNano BananaGPTSeedreamVeoSeedance 2.5Kling
  • 5,000 credits per month
  • Up to 5,000 fast images
  • Up to 625 basic videos
  • Unlimited Seedream 3.5 generations
  • Highest priority queue
  • No watermarks
  • Batch AI image upscaling
  • Full privacy

Max

-50%
$80$40/month
Billed Annually ·$960$480/year
  • Advanced models after upgrading
    MiniMax H3GeminiNano BananaGPTSeedreamVeoSeedance 2.5Kling
  • 10,000 credits per month
  • Up to 10,000 fast images
  • Up to 1,250 basic videos
  • Unlimited Seedream 3.5 generations
  • Highest priority queue
  • No watermarks
  • Batch AI image upscaling
  • Full privacy

GPT Image 2.5 FAQ

Learn about reference images, image sizes, quality settings, and credits.

1

What is GPT Image 2.5?

Raphael offers GPT Image 2.5 Flare for fast everyday creativity. Generate an image from text, or upload references and describe the scene, composition, and style you want.

2

How does it differ from GPT Image 2?

Flare improves generation speed, reference fidelity, and image detail, with more quality levels to choose from. Identically named quality levels are not directly equivalent across versions, so compare results using the same creative brief.

3

How many reference images can I upload?

Upload up to 16 reference images in JPG, PNG, or WebP format, with a maximum of 50MB per image. References help the model understand your subject and style, but do not guarantee that every original detail will remain unchanged.

4

How long can my prompt be?

GPT Image 2.5 Flare supports prompts of up to 10,000 characters in Raphael. Clear descriptions of the subject, composition, style, and any text you want are usually more useful than repeating similar instructions.

5

Which sizes and quality levels are available?

Choose from common aspect ratios and 1K, 2K, or 4K resolution tiers, with Low, Medium, High, xHigh, and Max quality settings. Size determines pixel dimensions, while quality controls rendering effort. Higher settings generally require more credits and time.

6

Does 4K mean 4096×4096?

No. Pixel dimensions depend on the aspect ratio: 4K at 16:9 is 3840×2160, while square output is 2880×2880. Large-resolution output remains experimental, and results may vary with the content.

7

How many images can I generate at once?

Generate 1–4 images at a time. You can review the total credits required before submitting.

8

How do credits and the 50% discount work?

Generation charges are 50% off; reference-image fees are not discounted. When generating one image, each reference image adds 3 credits. Review the total before submitting. Generation is charged at the displayed estimate, with no additional usage charge after completion.

9

How long does generation take?

Flare is designed for fast creation, but generation time depends on quality, size, prompt complexity, and service load. Higher quality and complex scenes generally take longer.

10

Will text and people always look exactly right?

Not always. The model improves reference fidelity and instruction following, but important text, personal details, and complex layouts may still need review and another generation.

Raphael AI

Bring your ideas to life with GPT Image 2.5