GPT Image 2 — Next-Gen AI Image Generator

Generate, edit and restyle pictures with GPT Image 2: the next OpenAI image model trained for sharp text rendering, photoreal portraits and accurate world knowledge. Upload a reference, write a prompt, and let the model do the rest.

Upload up to 5 reference images so the model can lock onto your subject, layout and brand look.

We accept .jpeg, .jpg, .png and .webp files up to 10MB each.

Describe what to change, add or restyle in the image.

0/1000

Pick the engine that powers your generation run.

Choose the output ratio you want to render in.

Pick how many variations to generate per run.

image to image 1
image to image 2
image to image 3

    What is GPT Image 2?

    GPT Image 2 is the next-generation OpenAI image model and the successor to GPT Image 1 / 1.5. The new release was first spotted on LMArena under the codenames "maskingtape-alpha", "gaffertape-alpha" and "packingtape-alpha", and quickly identified by testers as a brand-new architecture rather than a patch on top of the GPT-4o image pipeline. On gpt-image-2-ai.com we package the model into a fast, browser-based studio so you can generate, edit and restyle images in seconds without setup.

    What makes the new release stand out is the combination of near-perfect text rendering, photoreal portraits and genuine world knowledge: it can spell sentences inside posters, mock up YouTube and Windows interfaces with believable UI, and render IKEA storefronts at night with architectural accuracy. The yellow color cast that haunted earlier releases is gone, hands and reflections look natural, and blind comparisons placed the model ahead of Google's Nano Banana Pro and Midjourney on text, instruction-following and realism.

    GPT Image 2 AI turns that raw capability into a practical workflow for marketers, designers, ecommerce teams and indie creators. Upload a reference, describe the change you want, pick aspect ratio and output count, and you get on-brand variations you can drop straight into ads, decks, social posts or product pages. It is the fastest way to try the new model today, before the official OpenAI rollout replaces DALL·E in mid-2026.

    How to use GPT Image 2 in 4 steps

    A simple workflow for teams: turn one strong reference photo into polished, on-brand variations in minutes. Reuse the same flow across every campaign so reviews stay consistent and fast.

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    Step 1 · Upload a reference image

    Pick a clear, well-composed reference image — product, portrait or lifestyle — and upload it. The model reads both the subject and the layout, so a sharp focus and a clean background give it a strong anchor and produce more predictable results.

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    Step 2 · Write a precise prompt

    Describe the style, mood, lighting and background you want. Spell out must-keep elements like poses, labels, props or brand colors so they stay protected, and mention the channel (ad, PDP, social) so framing and tone match your campaign.

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    Step 3 · Tune the controls

    Choose aspect ratio, number of outputs and transformation strength. Low strength keeps the result close to your reference; higher strength explores bolder restyles. Save the presets you like and reuse them to keep series consistent.

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    Step 4 · Generate and download

    Hit generate and the model returns multiple variations in seconds. Favorite the winners, download high-resolution files and feed your best output back in as the next reference to push the look even further. Promote great runs to templates so future briefs start near the finish line.

    Why GPT Image 2 on gpt-image-2-ai.com?

    Every feature on gpt-image-2-ai.com is built around the strengths of the new model — sharp typography, photoreal detail, world-aware composition and on-brand consistency at campaign speed.

    🎨

    Near-perfect text rendering

    The model finally nails text inside images: posters, packaging, neon signs and UI mockups come back with words spelled correctly and laid out naturally. No more weird letter shapes or fixing typography in Photoshop after the fact.

    Photoreal world knowledge

    The model understands what the world actually looks like. Storefronts, interiors, app screens, hands, fabric and reflections render with detail that early testers described as indistinguishable from real photographs in blind A/B tests.

    Brand-safe consistency

    Lock in your colors, type, lighting and composition with prompts and references. Outputs stay consistent across runs so your team gets a reliable, brand-safe library instead of random AI styles.

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    Web, print and social ready

    Outputs ship at high resolution with controllable aspect ratios, so the same generation is ready for ads, PDPs, decks, slides, thumbnails or print mockups without an extra cleanup pass.

    Try GPT Image 2 on gpt-image-2-ai.com

    Start with your strongest photo and explore what the new model can do — restyles, retouches, edits and brand-new scenes — without opening a single editing timeline. The studio runs right in your browser on gpt-image-2-ai.com, needs no design experience and gives you immediately usable results. Bring your image, write a quick brief, and let the model take it from there.

    Open GPT Image 2

    GPT Image 2 — Frequently asked questions

    Everything you wanted to know about GPT Image 2: what it is, how it compares to GPT Image 1.5 and Nano Banana, when it launches officially, and how to get the best results on gpt-image-2-ai.com.

    What is GPT Image 2?

    GPT Image 2 is OpenAI's next-generation image generation model, the successor to GPT Image 1 and 1.5. It first surfaced on LMArena in April 2026 under the codenames maskingtape-alpha, gaffertape-alpha and packingtape-alpha. Independent testers report it is a new standalone architecture — not a patch on the GPT-4o image pipeline — and outperforms previous releases on text rendering, photorealism and world knowledge.

    How is GPT Image 2 different from GPT Image 1.5?

    The new model fixes the issues people complained about in GPT Image 1.5: the warm yellow color cast is gone, text inside images is finally readable, hands and reflections look natural, and complex scenes hold together. In blind tests on LMArena, the new release also beat Google's Nano Banana Pro and was rated above Midjourney on instruction-following, photorealism and typography.

    When will GPT Image 2 launch officially?

    OpenAI has not announced an official release date. Based on the LMArena leaks in early April 2026, ongoing A/B testing inside ChatGPT, and the announced DALL·E shutdown on May 12 2026, most analysts expect a public ship between late April and mid-May 2026. Our site tracks every update so you can try the capability as soon as it is available.

    How much will GPT Image 2 cost via the API?

    Official API pricing is not confirmed yet. Early estimates from API resellers and analyst posts put the new model around $0.15–$0.20 per image, compared to roughly $0.04 per image for GPT Image 1.5. On gpt-image-2-ai.com you can try it with a credit-based plan, no API key required.

    What can I create with the new model on gpt-image-2-ai.com?

    Use it to generate ad creatives, ecommerce hero shots, product variants, social posts, thumbnails, posters, app mockups, illustrations, comic panels and more. Because the model is strong at typography and UI, it is especially useful for marketing assets, logo lockups and screen mockups that contain real text.

    Which file formats and sizes are supported?

    Upload reference images as JPEG, PNG or WEBP up to 10MB and 4096x4096. Outputs come back as high-quality files ready for digital use — you can downscale later, but starting at full quality keeps detail crisp for hero images, banners and print.

    Can I use the outputs commercially?

    GPT Image 2 on gpt-image-2-ai.com is built for marketing and design use. For large-scale campaigns or partner sharing, check the workspace plan terms before publishing, align with legal early, and keep a record of the prompts and references used in each run for compliance.

    How is GPT Image 2 different from text-to-image tools?

    Pure text-to-image tools start from a blank canvas. The model is built to read your reference image as well as your prompt, so it preserves your subject, layout and brand look while applying the changes you describe. That makes it better for iterating on existing assets instead of inventing random scenes.