Skip the layer masks: this AI image editor takes the photo you provide plus a plain instruction and returns a transformed version to review.
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In a normal editor you push pixels with tools; here you describe the change. You provide an image you are allowed to use plus a text instruction — make it a snowy evening, switch to watercolor style, set the product on a marble table — and the route returns a transformed image to review. It suits direction-level edits where you want a different look, mood, or setting, while pixel-precise corrections still belong in a traditional editor. Compare each result against the original before downloading, and expect some detail drift in busy areas.
Input
A summer street corner photo with the instruction 'same corner in late autumn, wet pavement, overcast light, signage unchanged'.
Expected output
The recognizable scene recast in autumn light, to review for consistency on signs and edges.
Input
A pencil sketch of a bicycle with the instruction 'render this sketch as a flat-color illustration, keep the composition and line placement'.
Expected output
A colored illustration that follows the sketch's layout, subject to review of line drift.
Input
A product photo of a candle with the instruction 'place the same candle on a marble café table, soft morning light, shallow depth of field'.
Expected output
The candle rendered in a new setting with its shape intact, subject to review of label text.
Describing the target look communicates intent in a single sentence instead of a stack of manual adjustments.
Every result is a new image, so the source file remains intact while you compare as many versions as you need.
Alternate looks — winter, watercolor, studio — each cost one prompt, so you can weigh directions before committing effort.
Start with an image you have the right to edit.
Keep the requested edits specific so the intended profile look is clear.
Review the output for likeness, accuracy, and the final profile crop before using it.
Good instructions name what changes and, just as importantly, what must stay the same.
Copy a structure, then adjust the subject, lighting, camera, and output details for your own result.
Transform this [scene photo]: same composition and structures, change to [season and time of day], adjust light and color to match, keep signage and edges crisp. Use for: mood variants of a shoot, compared side by side.
Naming what changes and what stays gives the transformation a clear split, which reduces random drift.
Take this sketch of [subject] and render it in [flat-color illustration or soft painterly style], preserving line placement and proportions. Use for: turning drafts into presentation images after checking proportion drift.
Anchoring on line placement keeps the finished version recognizable against the original draft.
Same [product] unchanged in shape and label, placed on [new surface and setting] with [light quality], shallow depth of field. Use for: alternative backdrop shots, verifying label legibility in each.
Separating 'product unchanged' from 'setting new' protects the asset that matters most in the shot.
Redraw this [photo or illustration] in [named art style], keep the subject's pose and framing, apply the style's palette and line quality throughout. Use for: a consistent style series, reviewed as a set.
A named style plus a fixed pose produces a series that hangs together instead of five different looks.
Recreate this [image] three times, changing one variable per run: [A: lighting], [B: color palette], [C: background detail]; subject and framing constant. Use for: choosing a direction with like-for-like comparisons.
Varying one variable at a time turns editing into an experiment you can actually judge.
Match the workflow to the input you have and the result you need before opening the generator.
Input: A finished photo plus two or three target moods
Result: Mood variants to compare against the original before delivery
Tool: Domer Image to Image
Input: Sketches or line art with a described target style
Result: Rendered concept versions that preserve the original composition
Tool: Domer Image to Image
Input: Clean product photos plus setting descriptions
Result: The same product in several backdrops, each checked for label fidelity
Tool: Domer Image to Image
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Choose the credit package that works best for you.
No hidden fees • Cancel anytime • Unused credits roll over
Perfect for trying out AI creation.
Credits
2,400 credits per year
$59.99/year billed yearly
You save $60 · the equivalent of 6 months free
What's included
Perfect for light creators.
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6,000 credits per year
$119.99/year billed yearly
You save $120 · the equivalent of 6 months free
What's included
Best value for creators.
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14,400 credits per year
$399.99/year billed yearly.
Save $80 compared to monthly
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For video creators and power users.
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60,000 credits per year
$999.99/year billed yearly.
Save $200 compared to monthly
What's included
Questions? Contact us at support@domer.io
Open the image editor with one photo and one clear instruction, then judge the transformed version against your original.
