PhotoEditorAI handles background removal and replacement, object removal, face retouching, hair-color changes, style transfer from a reference image, text/watermark integration, upscaling to 4K, and old-photo restoration, routing each task across multiple named backend models – its own PhotoEditorAI 3.0/Pro, plus SeeDream 4.0/4.5/5.0, Nano Banana variants, GPT Image 2, and Qwen.
Letting a specific model be selected per edit, at a transparent per-edit credit cost (2-18 credits depending on model and resolution), is more honest than presenting one black-box “AI edit” button – different models genuinely excel at different tasks, and knowing the cost up front for a specific model/resolution combination lets a user make an informed trade-off rather than guessing at what a generation will cost. Character-consistency claims and multi-image fusion also target harder, more specific editing problems than basic touch-ups.
Model choice adds a decision a simpler single-model tool doesn’t require – picking the right backend for a specific edit needs some trial and error to learn. As with any multi-model wrapper, result style will vary depending on which backend handles a given request.
