"AI image editor" covers three different jobs and no model wins all three. Instruction editing ("make the jacket red, keep everything else") is one problem; object work like removing a background or replacing an element is another; finishing, meaning upscaling and cleanup, is a third. On the 8frame canvas the picks are Flux Kontext for instruction edits at 13 credits, Nano Banana Pro at 21 when the edit has to preserve a face or a product exactly, background removal at 12 for the object job, and an upscale at 13 to finish.
The three jobs
Instruction editing. You describe a change in words and the model applies it while leaving the rest alone. The hard part is the "leaving the rest alone," and it is where most models leak: change the jacket and the face shifts too.
Object work. Removing, replacing, or isolating something. Background removal, cleanup of an unwanted element, swapping a surface.
Finishing. Upscaling, sharpening, artefact cleanup. Boring, and it is what separates output that looks generated from output that looks produced.
What each job costs
Canon 8frame prices, a credit is $0.01 in a top-up pack.
| Job | Tool | Credits |
|---|---|---|
| Instruction edit | Flux Kontext Max | 13 |
| Instruction edit, cheaper | Flux Edit (FLUX.2 pro) | 7 |
| Identity-preserving edit | Nano Banana Pro | 21 |
| Region edit with a mask | Smart Edit | 33 |
| Background removal | Background removal | 12 |
| Upscale | Image upscale | 13 |
| Heavy finishing | Topaz, per 24MP block | 11 |
A full pass on one image (instruction edit, background removal, upscale) is 38 credits, about $0.38. That number matters more than any quality ranking, because editing is iterative: the useful comparison is cost per finished image after four attempts, not per attempt.
Which to use when
Flux Kontext for the common case: a described change to an existing image where the rest should stay put. Strong at following instructions literally, which is what you want in editing and not always in generation.
Nano Banana Pro when identity is the constraint: a person's face, a product's exact form, packaging text. It costs more and it is the one to reach for when a drift would be noticed.
Smart Edit when you can point at the region rather than describe it. Masked editing removes the ambiguity that makes instruction editing fail on busy images.
Background removal as a dedicated step rather than a described instruction. Purpose-built tools beat prompts for this, consistently.
Upscaling last, always. Editing after upscaling amplifies whatever the edit got wrong.
Where AI editing still fails
Text inside images. Improving, still unreliable. Editing a label and expecting the other words to survive is where most edits break.
Small consistent details across a set. One image, fine. Twelve product shots that must all match after the same edit, and drift appears.
Anything a viewer will inspect. Hands, jewellery, mechanical parts, typography. The rule from generation applies to editing: it is convincing at a glance and inspectable at a zoom.
Compositing that needs real geometry. Perspective and shadow consistency in a hard composite is still a job for a person in Photoshop.
The workflow that works
Edit at generation resolution, not upscaled. Do one change per pass rather than four in one prompt, because a compound instruction that half-works cannot be debugged. Keep the original, always: editing chains degrade, and going back to source beats correcting a correction.
For sets, edit one image to approval and then apply the same chain to the rest as a reusable workflow, instead of editing each one by hand and watching them drift apart.
FAQ
What is the best AI model for editing photos? Flux Kontext for instruction edits, Nano Banana Pro when a face or product must stay exact, a masked tool when you can point at the area.
Can AI editing replace Photoshop? For described changes and object work, increasingly. For precise compositing, geometry, and anything requiring exact control, no. Most professionals now use both, with AI doing the first 80% quickly.
How much does an AI image edit cost? 7 to 33 credits per operation on 8frame, so a full edit-and-finish pass is roughly $0.38. Budget for four attempts per finished image.
Three jobs, three tools, and always upscale last. The 8frame canvas is free and unlimited, and generation is paid from $19/month.