GPT IMAGE 2.5 IMAGE EDITOR
Edit images by describing exactly what should change.
A reliable image-editing prompt names one change and then lists the details that must stay fixed. GPTImageGen25 keeps the source image, edit instruction, aspect ratio, resolution, and output controls in one workspace.
Last reviewed
How to remove a background in GIMP01 / Direct answer
How should an AI image-editing prompt be written?
An AI image-editing prompt is a bounded change request: identify the region to modify, describe the new result, and list every detail that must remain unchanged. A useful first revision asks for 1 meaningful change, such as replacing a background or correcting a label, instead of combining several unrelated edits.
GPTImageGen25 applies that method to GPT Image 2.5 editing with 3 accepted source formats—PNG, JPEG, and WebP. The workspace provides preset and custom aspect ratios, automatic, preset, and custom dimensions, 6 GPT Image 2.5 quality options, and a 32,000-character instruction field. For identity-sensitive work, name the person, pose, expression, crop, clothing, camera angle, and foreground shadows as fixed constraints. Review the source and result side by side, then revise only the failed instruction.
At a glance
| Feature | Details |
|---|---|
| Accepted source formats | 3 — PNG, JPEG, and WebP |
| Recommended edit boundary | 1 requested change per revision |
| Instruction capacity | 32,000 characters |
| Aspect-ratio presets | 1:3–3:1, with preset and custom dimensions |
| Resolution levels | Automatic, preset, and custom dimensions |
| Quality levels | GPT Image 2.5: Auto, Low, Medium, High, Extra high, Maximum. GPT Image 2: Auto, Low, Medium, High. |
02 / Workflow
A repeatable production path.
Keep each instruction visible and test one meaningful change at a time.
- 01
Upload the source
Choose the clearest available source image. Avoid unnecessary recompression before editing.
- 02
Name one change
Identify the exact object, region, background, lighting condition, or text treatment to modify.
- 03
Lock invariants
List the identity, pose, crop, product shape, label, shadows, or typography that must remain unchanged.
- 04
Review and refine
Compare the result with the source and revise one instruction at a time so each change stays measurable.
03 / Prompt pattern
Change one thing. Preserve the rest.
Replace only the background with a quiet contemporary gallery: warm plaster walls, polished gray floor, soft skylight. Preserve the person’s identity, pose, clothing, facial expression, crop, and all foreground shadows exactly. Add no new objects or text.
- Use “replace only” or “change only” to define the edit boundary.
- Name preserved details explicitly instead of saying “keep everything.”
- Repeat identity and typography constraints during later revisions.
04 / Direct answers
Questions about this workflow.
State the requested change first, then list the subject details that must remain fixed: identity, pose, expression, clothing, crop, lighting, and foreground shadows. Concrete invariants are more useful than a general instruction to preserve the image.
Yes. Describe the new background and explicitly preserve the foreground subject, silhouette, edge detail, camera angle, crop, and existing contact shadows.
The GPTImageGen25 editing workspace accepts PNG, JPEG, and WebP source images. These are input requirements for the reference image used during editing.