Example 01
Typography-led event poster
Short display copy, clear hierarchy, and a restrained color system.
- Input:
- Text prompt
- Settings:
- 2K, portrait
GPT Image 2 Generator and Editor
One page, one complete workflow
GPT Image 2 Generator and Editor
Use GPT Image 2 for prompt-led generation, reference image edits, readable text concepts, and product visuals at up to 4K.
- Input
- A detailed prompt and optional reference images.
- Output
- A JPG or PNG image at 1K, 2K, or 4K resolution.
GPT Image 2 Generator and Editor examples
Review the input type and core settings before starting your own version.
Public output previews are pending asset approval.
The examples below describe the workflow and settings without presenting unverified or private generation results.
Example 02
Studio product campaign
A product-centered composition with controlled shadows and a clean background.
- Input:
- Text prompt
- Settings:
- 4K, landscape
Example 03
Localized product edit
The source object stays fixed while the scene, props, and color temperature change.
- Input:
- Prompt and reference image
- Settings:
- Image to image, 2K
Example 04
Social ad variation
A reference layout is adapted into a new visual while preserving usable negative space.
- Input:
- Prompt and reference image
- Settings:
- Image to image, 1K
How to use GPT Image 2 Generator and Editor
01
Describe the final image
Write the subject, scene, camera, lighting, style, and exact short text you want rendered.
02
Add a reference and resolution
Upload references for editing, then choose 1K, 2K, or 4K based on the final use.
03
Generate and inspect details
Submit after the credit estimate appears, then check faces, hands, product details, and spelling before download.
GPT Image 2 Generator and Editor use cases
Product photography concepts
Create hero scenes and campaign directions around a specific product or packaging shape.
Posters with short text
Generate layouts for events, promotions, and announcements where readable display copy matters.
Local edits
Restyle a background, replace props, or change lighting without rebuilding the entire image.
High-resolution exports
Use 2K or 4K when the image needs extra room for cropping, presentation, or large-format review.
Input requirements and limitations
Prepare your input
Keep required text short
Quote the exact wording and specify where it should appear. Short headlines are more reliable than dense paragraphs.
Upload sharp references
Use a well-lit source image with visible edges and enough resolution for the requested edit.
Know the limits
Verify all lettering
Generated type can still contain small spelling, punctuation, or spacing mistakes.
Complex local edits can drift
Many simultaneous changes can alter identity, geometry, or brand details that were meant to remain fixed.
GPT Image 2 Generator and Editor vs alternatives
| Option | Best for | Key difference |
|---|---|---|
| GPT Image 2 | Text rendering, local edits, and 4K options | Strong instruction following with resolution-based credit pricing. |
| Nano Banana 2 | Fast concept iteration and reference consistency | Useful when speed and repeated variations matter most. |
| Nano Banana Pro | Polished brand and marketing concepts | A quality-focused option with a different creative character. |
Frequently asked questions
The current server-authoritative price is 3 credits for 1K, 5 for 2K, and 8 for 4K. The form shows the final estimate before submission.
Yes. Add one or more supported reference images and switch to the image editing workflow.
Use 1K for fast drafts, 2K for most publishing work, and 4K when you need more crop room or presentation detail.
No. Signed-in generations are stored in private History and are not added to the public sitemap.