This guide is for image-editing workflow support. Review generated images for text accuracy, brand safety, rights, likeness, product truthfulness, and platform policy before publishing.
Image editing prompts need keep rules
AI image edits often drift when the prompt only says what to change. A stronger prompt explains what must stay unchanged, what region should be edited, which text or product details matter, and how the final image will be reviewed.
Input image
Describe the original subject, camera angle, background, lighting, visible text, and important product details.
Requested edit
State exactly what should change, where it should change, and what style or use case the result should support.
Keep rules
Protect product shape, label spelling, logo placement, colors, identity, layout, perspective, and other critical details.
Review checks
Inspect text, edges, hands, reflections, shadows, product truthfulness, brand claims, and visual consistency.
A practical image edit prompt workflow
1. Describe the original image first
Give the model enough context about the subject, scene, text, and perspective before asking for changes.
2. Separate change and keep instructions
Write requested edits in one section and protected details in another so the model does not overwrite the wrong thing.
3. Add negative constraints
Name problems to avoid, such as garbled text, fake logos, warped products, extra fingers, harsh shadows, or misleading claims.
4. Review the generated image
Check the output against the keep rules and reject edits that make the product, identity, or visible text inaccurate.
Build an image edit prompt
Use the image edit prompt builder to turn an image description, edit request, keep rules, and mode into a precise prompt for an image editor.
Open image edit prompt builderFAQ
What should an image edit prompt include?
Include the input image description, requested edit, keep rules, framing, lighting, text or logo constraints, negative constraints, and review checklist.
Why do product image prompts need keep rules?
Keep rules reduce drift by protecting product shape, labels, colors, logos, text, and perspective while allowing the requested edit.
Can AI image edits create misleading marketing visuals?
Yes. Review edits for product truthfulness, brand claims, safety, rights, and whether the image implies features or endorsements that are not real.
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