Edit Photos by Describing the Change
No layers, no masks, no selection tools. Upload a photo, write what should be different — “make the sky overcast”, “change the jacket to olive green”, “remove the person on the left” — and the AI applies it to the whole image while leaving everything else alone.
What people use it for
Colour changes
Recolouring a product, a garment or an object without reshooting or masking.
Weather and time of day
Turning an overcast exterior into golden hour, which is otherwise a reshoot.
Removing and adding
Taking something out or putting something in, described rather than selected.
Mood and grade
Changing the whole feel of an image in one instruction instead of a stack of adjustment layers.
Getting the best result
- One clear instruction at a time. "Make the sky overcast" works; a list of five changes produces a compromise on all five.
- Say what should not change if something keeps drifting — "keep the subject exactly as is" is a real and useful constraint.
- Iterate on the result rather than restarting. Each edit lands in your library and can be fed back in.
- Check faces after any edit. They are the first thing to shift when a model reinterprets a frame.
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How is this different from the object remover?
The object remover does one job: take something out and rebuild the background. This edits anything you can describe — colour, weather, clothing, time of day, the whole mood of a shot. Use the remover when you only need something gone.
Will it change parts of the photo I wanted to keep?
It is instructed to preserve everything you did not mention, and it usually does. Faces are the exception worth checking: if a face is central to the shot, review it at full size before you publish.
Can I make several edits to the same photo?
Yes. Each edit lands in your library, so you can feed the result back in and keep going. Combining several changes into one clear sentence often beats stacking three separate passes.