Review portrait identity separately from a new visual style

A portrait can have attractive colors and still stop looking like the person in the reference. Separating identity review from style review helps a designer avoid approving the wrong feature of an image. This checklist is a suggested process for an authorized portrait edit, not evidence that a generator can guarantee identity preservation.

Agree which features matter before generating

Use a photograph you have permission to edit and keep the original. Write the intended style change in a short sentence: a pencil treatment, a calmer background, or a different lighting mood. List recognizable features that the subject or reviewer will compare afterward. Their importance can depend on the intended use, so do not assume that a visually pleasing result automatically meets the brief.

Avoid asking for several unrelated changes in the first candidate. A different pose, facial expression, hairstyle, lighting setup, and art style can make the comparison difficult. Start with the change that answers the main creative question.

Review in two passes

In the first pass, compare recognizable details with the original at a useful size. Check the eyes, mouth, expression, hairline, visible accessories, and the relationship between facial features. Record what actually changed. A written request to keep a feature is guidance to a model, not a protected pixel selection.

In the second pass, evaluate the style: the balance of colors, the clarity of shapes, and whether the background supports the subject. A result may pass one review and fail the other. Keeping those decisions separate makes feedback more precise.

Keep acceptance separate from personal preference

A reviewer may prefer one visual treatment while deciding that it changes the subject too much for the final use. Save that distinction in the version note. If exact original detail is required, switch to a conventional editing or compositing workflow rather than promising that another prompt will preserve everything.

AI Image to Image can explore portrait concepts from a reference photo and text instructions. Its whole-image generation does not offer protected masks or layer compositing. Review any selected result against the original and get appropriate approval before using a person's edited portrait publicly.