Precise photo editing: change one detail
Swap a duvet color, replace furniture or update a sign while the rest of the photo stays as it was. Name the object, describe the change, and list what must not move.
Models
Images (Optional)
Prompt
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GPT Image 2.5
Upload a photo to edit any detail with GPT Image 2.5 without redrawing the whole scene—keep faces and products recognizable, start free with trial credits, and export up to 4K.
What Is GPT Image 2.5?
GPT Image 2.5 is OpenAI's state-of-the-art image generation and editing model, released on September 8, 2026 and powering ChatGPT Images 2.5. Unlike earlier models that redraw the entire image, it allows pinpoint edits on specific areas, preserves human likeness and product features from reference photos with remarkable fidelity, renders crisp in-image text, and generates up to 50% faster. You can run it directly on this page, starting from your own photo or from a text prompt alone.
Model features
Key Features of GPT Image 2.5
Earlier image models often redrew the whole picture for a small fix, lost a person's likeness or garbled the words on a sign. Here is what this release improves and how it shows up when you edit.
Precise single-element editing
Ask for one change, such as a new chair color or a different headline, and the model keeps the subject, composition and lighting around it, even with complex subjects and busy backgrounds.
Stronger reference fidelity
People, pets and products from your reference photos stay recognizable when they move into a new scene or visual style, with distinctive features and textures kept intact.
Sharper detail and natural lighting
Results show richer textures and more believable light, which helps product shots, interiors and portraits read as real photographs.
Accurate in-image text and layouts
Headlines, labels and menus render cleanly when you quote the exact words. Structured images such as posters and infographics follow the layout you describe more closely.
Faster generation
Images come back up to 50% faster than with the previous generation, so testing a prompt, adjusting it and running it again takes less waiting.
1K to 4K with three quality levels
Choose 1K, 2K or 4K, a ratio from square to 21:9 widescreen or auto to follow your photo, and low, medium or high quality. Low is quick for drafts; high adds finer detail for final images.
Features in Action: Edit, Combine, Add Text
Each example pairs one model strength with a task you can run in the editor above.
Multi-image reference generation
Upload a person, a jacket and a street, then refer to them as image 1, image 2 and image 3, or type @ to pick one. The model combines them into one shot with matching light and perspective.
Posters and graphics with readable text
Turn a photo into an event poster, a menu board or a thumbnail. Quote the words you need and say where they go, and the model sets them into the design.
Three steps
How to Use GPT Image 2.5 Online
Step 011. Upload reference images
Add the photo you want to edit, plus any extra references for style, clothing, products or background. Uploads are numbered image 1, image 2 and so on.
Step 022. Write the prompt and pick settings
Describe the change and what to keep. Pick an aspect ratio, a 1K, 2K or 4K resolution and a quality level; the generate button shows the credit cost before you run it.
Step 033. Generate, check and download
Zoom in to check faces, edges and text. Adjust one line of the prompt if something is off, or use the edit bar to upscale, remove the background or expand the image before you download.
Best Use Cases for Precise AI Photo Editing
Tasks where precise edits and reference fidelity save the most time.
Product photos and ecommerce
Place one product photo into several lifestyle scenes while its label, shape and colors stay exact.
Marketing and social content
Make ad visuals, thumbnails and story covers with short on-image copy, sized for each platform.
Personal photo edits
Change an outfit, a background or a room detail in your own photos and keep faces recognizable.
OpenAI image model
Try GPT Image 2.5 on Your Own Photos
Upload a picture, describe one change and see how the model handles it. New accounts get trial credits.
GPT Image 2.5 FAQ
Answers about the model, its capabilities, commercial use, pricing, and prompt tips.
It is OpenAI's image generation and editing model, released on September 8, 2026. It powers ChatGPT Images 2.5 and is available directly on this page to edit and transform your photos.
Yes. Subject to OpenAI's usage policies, you own full commercial rights to the images you generate and edit with GPT Image 2.5 on our platform. You can freely use them for ecommerce storefronts, social media ads, marketing campaigns, client deliverables, and merchandise without paying extra licensing fees.
It delivers significantly higher editing precision and subject retention. Instead of redrawing the entire picture like previous models, it isolates and modifies only the elements you specify, keeps facial features and product branding intact, renders clean readable text, and generates up to 50% faster.
You can start free. New accounts get trial credits upon sign-up so you can test the model right away without entering credit card details. Images generated with trial credits carry a subtle watermark, which is removed when using paid credits or an active subscription.
Each image uses credits based on the resolution and quality you choose: 1K at low quality costs the least and 4K at high quality the most. The generate button shows the exact cost before you click, and failed generations are refunded automatically.
You can export at 1K, 2K or 4K, choose auto, 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 5:4, 4:5 or 21:9, and pick low, medium or high quality. The quality levels need a subscription or purchased credits. Uploading an image is optional: edit a photo you add, or leave the upload empty and describe a new image in the prompt.
Say what to change and list what must stay, such as face, pose, layout or labels. Refer to each upload by number and give it a role, like subject, style or background. Put exact text in quotes and ask for no extra text. Change one thing per run, then build on the result.
