Text-to-Image vs Image Editing: Which One Does Your Job Need?
Generating a new image and editing an existing photo solve different problems. A decision guide with examples, the trade-offs of each, and how to combine them.
Omni Creator Team · · 3 min read
AI image tools do two different things that are easy to confuse. Text-to-image creates a picture from a description. Image editing changes a photo you already have. They use related technology, but they answer different questions, and picking the wrong one is the most common reason people give up on a result.
The one-question test
Does something real need to be in the final image?
- A specific product you sell, your face, your room, your dog, a real location → edit a photo.
- An idea, a mood, an illustration, a generic scene → generate from text.
If the answer is “yes, something real”, generating it from text will produce something that looks similar but is not it. If the answer is “no”, starting from a photo just constrains you.
What each one is good at
| Text-to-image | Image editing | |
|---|---|---|
| Starting point | A description | Your photo |
| Keeps real details | No — everything is invented | Yes, outside the edited area (best-effort) |
| Creative freedom | Very high | Limited to the change you describe |
| Consistency across a set | Hard — every image differs | Easier — same subject, same prompt |
| Typical jobs | Illustrations, concepts, backgrounds, mood boards | Backgrounds, removal, product shots, outfits, light |
| Main risk | Artifacts, misleading depictions | Unwanted drift of the subject |
Examples
“I need a header image for a blog post about remote work.” — Nothing real needs to appear. Generate it:
Flat editorial illustration of a person working on a laptop at a tidy home desk, muted warm palette, plenty of empty space on the right.
“I need my ceramic mug on a white background for my shop.” — It must be your mug. Edit a photo:
Turn this into a product photo on a pure white background with soft studio light, keep the mug, glaze and shape unchanged.
“I want to see what my living room would look like with green walls.” — Your real room. Edit:
Change the wall color to a soft sage green, keep the furniture, floor and lighting unchanged.
“I need a few ideas for packaging before talking to a designer.” — Concepts. Generate:
Studio photo of a minimalist matte black coffee bag with no text, on a light gray background, soft top light.
Combining them
The two work well in sequence:
- Generate, then edit. Create a scene from text, download it, upload it again and refine one detail at a time (“remove the plant on the left”, “make the light warmer”). Editing preserves what you liked about the generated image.
- Edit, then design. Prepare a photo with editing (clean background, better light), then add text and layout in a design tool. Neither text-to-image nor editing is reliable at producing long, correct text inside the image.
Honest limits of both
- Generated images can contain errors — hands, reflections, letters — and they should never be used to depict real people or events in a misleading way.
- Edited images are best-effort: the model regenerates the edited region and can subtly alter nearby details. Always compare with the original.
- Neither replaces a real photo when exact appearance matters — a product specification, a document, evidence.
In Omni Creator
The editor has six editing modes (background, remove objects, product photo, outfit, relight, custom edit) and one text-to-image mode that needs no upload. You can switch modes at any time, and the Continue editing button turns a generated result into the input for an edit.
Try text to image or edit a photo — 3 generations a day are free without an account.
Try it on your own photo
3 free edits a day in the browser. No account, no card.
