Live image model · precise generation and edits Live
GPT Image 2
Generate with GPT Image 2 from text or uploaded references, with precise prompts, live credits, and production examples.
Also consider: Seedream 5.0 Pro for dense layouts and Nano Banana for rapid visual exploration.
GPT Image 2 · live endpoint
0 / 5000
For text-to-image, describe hierarchy, subject, layout, exact text, materials, light, and finish. For image-to-image, upload references and describe the edit.
Choose modelText to image · settings update automatically
Only live routes are selectable. Your prompt stays in place when you switch.
GPT Image 2 is the deliberate option in this image workspace when the brief has to hold together: a specific subject, a controlled composition, readable in-image text, and a clear instruction for what may change. Start with the deliverable, define the visual hierarchy, then state materials, lighting, and the exact words that matter. For revisions, upload a reference and describe the requested change alongside the elements that must remain stable. Inside Seedream 5.0 Pro, this model opens the generator with a live credit estimate before the request starts.
Decision guide
When to choose this route
GPT Image 2 is a strong fit when the final needs a polished response to a detailed brief or a reference edit calls for more than a broad restyle. Text-to-image and image-to-image are live here at 1K, with the exact credit quote shown before each run and additional reference images included in the estimate. Keep the comparison on Seedream 5.0 Pro when you want this image route next to the live Seedream 5.0 Pro path.
Specification notes
Capabilities stay tied to what the live endpoint can do in this workspace.
Instruction-led composition
Write the output type first, then name the objects, spatial order, camera or layout, light, material, and finish.
Typography-aware briefs
Use short exact strings, explain where they belong, and leave empty space around the copy instead of asking for a crowded text wall.
Reference-guided change
For edits, state what should be preserved before naming the new object, color, material, or background treatment.
Controlled variation
Keep a winning prompt stable while testing only palette, crop, material, or setting.
GPT Image 2 prompt examples
Each example pairs a visual reference with a copyable production brief. Replace subjects while keeping hierarchy, light, and materials concrete.
Editorial cover
Keep the subject, masthead space, light, and material direction aligned.
Editorial magazine cover about urban gardens, sculptural chrome watering can on a rooftop at dawn, clean masthead space at top, restrained cobalt and clay palette, tactile print grain.
Product story
Name the product angle, surface, reflection plan, and copy-safe margin.
Premium wireless headphones on a folded black paper plinth, three-quarter product angle, soft window reflection, warm grey studio, generous blank space on left for headline.
Information poster
Reduce copy volume and describe hierarchy before decoration.
Museum poster titled “TIDES”, large title at top, three short exhibit dates beneath, luminous jellyfish on deep navy, modern Swiss grid, crisp print texture.
Reference revision
Identify invariant parts of the uploaded image before the change.
Keep the product shape, label placement, and camera angle from the reference. Replace the background with pale travertine in morning light and add a soft natural shadow.
Campaign variation
Change one controlled variable while freezing the core scene.
Same fragrance bottle composition, change only the art direction to a cool silver-blue night palette with rain-speckled glass and hard rim light.
Storyboard keyframe
Specify narrative beat, lens, and character continuity.
Storyboard keyframe: courier reaches a neon night market, red jacket and canvas bag consistent, low tracking camera, wet pavement reflections, 35mm film still.
Brand lockup space
Reserve a quiet zone for logo or headline.
Minimal skincare still life, frosted glass bottle centered, pale sage paper backdrop, soft overhead diffusion, empty lower-third band for brand lockup.
Material close-up
Name tactile surface and light falloff for a fair realism check.
Macro of brushed titanium watch bracelet links, single soft side light, faint fingerprint texture, shallow depth, catalog photography.
A controlled image workflow
Small, intentional changes produce more learning than rewriting every part of the prompt.
01
Set the output job
Name the asset before styling it: campaign still, poster, product shot, editorial cover, or storyboard frame.
02
Build the hierarchy
Put the primary subject first, then define secondary elements and where text or empty space belongs.
03
Use a reference carefully
Upload only images that materially guide the outcome and describe the preserved details.
04
Compare one variable
Keep a winning prompt stable while testing only palette, crop, material, or setting.
Workspace facts
Live constraints for GPT Image 2 on this route: endpoints, credit math, and provider pricing sources you can verify before generating.
Live endpoints on this page
GPT Image 2 opens through 2 linked endpoints in the Seedream 5.0 Pro generator: openai/gpt-image-2/text-to-image; openai/gpt-image-2/edit. Available modes here: text to image, image to image. Shared aspect ratios: 1:1, 16:9, 4:3, 3:4, 9:16.
Credit cost in this workspace
A typical 1:1 text-to-image run with GPT Image 2 costs 15 credits here. Image-to-image with one reference is 17 credits on openai/gpt-image-2/edit.
Compared with the Seedream 5.0 Pro default
Home default remains FLUX.2. This page locks GPT Image 2 for a controlled comparison in the same prompt box and credit estimator.
Related model pages
Stay inside the same workspace while comparing nearby model intents.
What creators say after using this workflow in production.
GPT Image 2 is the model I open when the brief includes exact headline copy and a defined layout. It follows hierarchy better than our fast exploration tools.
Reference edits stay stable when I list what must not change first. Swapping a background without warping the product silhouette actually works.
Typography-aware prompting is real here — short strings, clear placement, empty space around the masthead. Fewer unusable text blobs in the batch.
We validate composition with a cheaper pass, then run GPT Image 2 for the selected direction. The credit jump is worth it for client-facing stills.
Controlled variation — same prompt, one palette change — taught our junior designers more than a week of random rewrites.
Copy prompt from the examples page, swap the subject, keep the structure. That workflow matches how we actually ship campaign frames.
GPT Image 2 FAQ
Is GPT Image 2 available in this workspace?+
Yes. GPT Image 2 text-to-image and reference editing are live in this workspace, with the exact credit quote shown before each request. This applies inside the Seedream 5.0 Pro product.
When should I use GPT Image 2 instead of a faster model?+
Use it when precise written direction, careful layouts, or a reference-guided revision matters more than rapid volume. This applies inside the Seedream 5.0 Pro product.
How should I prompt GPT Image 2?+
Describe the deliverable, subject, hierarchy, viewpoint, lighting, material, and intended finish in that order. Keep exact in-image text short and clearly located. This applies inside the Seedream 5.0 Pro product.