GPT Image 2 supports high-fidelity image input, advanced text rendering, natural-language editing, and flexible output up to 3,840 px. Try GPT Image 2 online for free!
Model overview
GPT Image 2 is OpenAI's current image-generation model for fast, high-quality generation and editing. It accepts text and image inputs, supports flexible image sizes, and processes reference images at high fidelity.
Use it for illustrations, product scenes, campaign concepts, posters, social graphics, storyboards, and visual drafts. Begin with a prompt, add image references, or edit an existing visual. The result can stand alone or become a starting frame for video creation.
Creation modes
Move from an initial idea to a usable visual without breaking the work across disconnected tools. Generate a first version, inspect it, and keep the useful decisions while refining the rest.
Describe the subject, setting, composition, lighting, mood, and visual treatment. A clear brief gives the model enough context to turn a rough concept into a deliberate visual direction for campaigns, product ideas, or story frames.
Ask for a focused change in ordinary language instead of rebuilding the whole image. Name what should change and what must remain untouched when testing another background, color treatment, layout, object, or detail.
Add a reference when words alone cannot define a product, character, composition, or visual direction. GPT Image 2 processes image inputs at high fidelity while your prompt explains what to preserve, reinterpret, or remove.
Treat the first output as a draft. Multi-turn image workflows let you improve framing, simplify the scene, correct details, or explore a new treatment through shorter follow-up instructions instead of one oversized prompt.
Creative control
A useful image is more than an attractive result. It needs the right hierarchy, recurring visual details, and a revision path that protects decisions already approved.
01
Build concepts for posters, covers, menus, packaging, and social graphics where words belong to the composition. Specify exact copy, placement, hierarchy, and type direction, then review spelling and alignment before publishing. OpenAI notes that precise text rendering can still require correction.
02
Carry the same references and creative rules across related images to guide a character, product, palette, or atmosphere. Consistency is possible, but recurring details can still drift between generations, so compare each result against the approved reference.
03
When most of an image already works, isolate the revision. Change an expression, object, background element, lighting choice, or line of copy while explicitly protecting the composition and details you want to keep.
Creative workflows
Start from the format your audience needs, shape the image around its message, and keep the next production step visible from the beginning.
01
Social graphics and marketing banners
Explore launch posts, event graphics, paid-ad concepts, and channel-specific layouts with the intended aspect ratio, focal subject, headline space, and brand mood written into the brief.
02
Product visuals and ecommerce creative
Place a product reference into seasonal, lifestyle, or conceptual scenes to compare early campaign directions before committing to final photography or production.
03
Concept art and storyboards
Translate a script, scene description, or character note into frames that help collaborators discuss composition, tone, and missing story beats before animation or filming.
04
Turn GPT Image 2 images into videos
Use a selected still as a start frame, style reference, storyboard panel, or campaign asset, then build motion and additional scenes around the visual direction you approved.
Four-step workflow
You do not need a complicated formula. Give the model enough context to understand the goal, judge the first result against that goal, and make one clear revision at a time.
Describe the subject, scene, purpose, and visual treatment. Add a reference when a specific person, object, product, style, or composition should guide the result.
Select the size and quality that fit the intended channel. Generate a first version and evaluate the composition, message, hierarchy, and details—not style alone.
State what should change and what should remain. Keep each follow-up focused, such as replacing the background, correcting copy, adjusting light, or removing one distracting element.
Download the visual as a standalone asset or continue with it as a reference, storyboard frame, campaign concept, or starting image for an AI-generated video.
Visual examples
One brief can lead to product photography, fashion editorial, graphic illustration, or a cinematic story frame. Use the same review standard across styles: clarity, composition, usable detail, and fit for the final channel.
Prompt guide
A strong prompt communicates intent and priorities, not a pile of adjectives. Give the model a structured brief, then use short follow-ups to refine individual decisions.
Prompt 01
Start with the subject and action. Add the setting, camera distance, perspective, lighting, mood, and intended placement of important elements. If copy will sit above the subject, reserve that space in the composition.
Prompt 02
Put required wording in quotation marks and state where it belongs. Describe headline hierarchy, supporting copy, type treatment, color direction, and audience. Keep critical text short and inspect every character before public use.
Prompt 03
Name the edit target, the requested change, and the protected details. For example: replace only the background with a quiet evening street; keep the subject, clothing, pose, crop, and camera angle unchanged.
Model comparison
No image model wins every brief. Compare them with the same prompt, references, aspect ratio, and acceptance criteria, then keep the one that reaches a usable result with fewer compromises.
01
Both support text-and-image creation workflows. GPT Image 2 centers high-fidelity image inputs, generation, editing, and conversational refinement; Google positions Nano Banana Pro for complex graphic design, product mockups, accurate text, and real-world grounding. Test the same brief before choosing.
02
Choose around the way you direct the work. Test GPT Image 2 when your process depends on conversational edits and protected details. Compare Midjourney when image, style, character, or omni references are central to exploration. Neither reference workflow guarantees an exact copy.
03
OpenAI now lists GPT Image 1.5 as its previous, deprecated image model. Run the same prompt and edit sequence when evaluating a migration, and judge composition, reference fidelity, correction effort, output size, and whether the new model improves your real workflow.
At-a-glance
These are workflow-level differences, not a quality ranking. Product surfaces, model versions, output options, and availability can change; open the linked primary sources before making a production decision.
GPT Image 2
Nano Banana Pro
Midjourney
GPT Image 1.5
OpenAI also documents current limitations around precise text placement, recurring visual consistency, and layout-sensitive composition. Treat every first output as a draft that needs review.
Primary sources
Start with starter credits
Turn the next idea into an image, refine it through focused instructions, and see how it fits into a broader creative workflow. New users receive starter credits after signing up; further use follows the current Seedance.io credit rules.
Start CreatingFAQ
Quick answers about access, generation, editing, prompting, pricing, API support, and responsible commercial use.
Connected workflow
The useful part of an image workflow is what happens after the first result. Keep generation, review, iteration, and motion planning close together so the approved visual direction survives the handoff.
01
Compare ideas before production
Generate multiple directions early, evaluate them against the same brief, and move forward with a visual decision that collaborators can see and discuss.
02
Protect approved details during edits
Use focused revision instructions to preserve the subject, crop, palette, or composition while changing the one detail that still blocks approval.
03
Carry still images into motion
Move a selected concept into image-to-video and broader AI video workflows without losing the starting frame, story beat, or art direction that made it useful.
Keep exploring
Different briefs benefit from different visual engines and follow-up tools. Compare the workflow you need, then choose the shortest path from idea to a usable asset.
Practical guides
Use these guides to strengthen prompts, turn still images into motion, and compare the wider generation workflow before production.
Related models
Continue from image creation into video generation with models that support text, first-frame, or multimodal reference workflows.
GPT Image 2 · Create and edit
Start with a prompt or reference image, refine one decision at a time, and turn the strongest result into the next creative asset.
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