Ecommerce background and lighting
Move a product from a plain source setup into a campaign-ready environment while asking the model to preserve the bottle, label, and proportions.


Use this ai image editor to upload one source image, describe what should change, optionally add visual references, choose the aspect ratio and resolution, then generate a new edit.
Ready for a source
Result stage
Ready for a source

Precise edits begin with a clear source
Upload the original, add up to 15 ordered references, then describe only the changes you want.
Source stays first · references follow in order.
Prompt-led editingAn AI image editor applies a written transformation to an existing image. The source establishes the visual baseline; your prompt explains the change, the details to preserve, and the intended finish.
Unlike a blank-page image generator, this workflow begins with a source. Optional references can guide color, material, lighting, or style, while the prompt tells GPT Image 2 how those inputs relate.
The result is a newly generated image, not an editable Photoshop document. Inspect identity, geometry, text, hands, edges, and brand details before using an output.
Use the editor in four steps: upload a source, write the edit and preservation rules, choose output settings, then generate and inspect the result.
Choose the image that defines the subject, composition, and starting visual state.
State what should change, then name the identity, geometry, text, or framing that must remain.
Select an aspect ratio and 1K, 2K, or 4K resolution that fits the publishing surface.
Sign in at generation, review the result against the source, then download or refine the instruction.
AI image editing is most useful when a real creative asset needs a deliberate variation rather than a completely unrelated replacement.
Move a product from a plain source setup into a campaign-ready environment while asking the model to preserve the bottle, label, and proportions.


Test a wardrobe color change while explicitly preserving the model’s face, pose, garment construction, framing, and surrounding light.


Direct a new headline and visual hierarchy for a campaign concept, then review every word and layout decision before publishing.


Explore a new palette and furniture direction while protecting the room geometry, camera position, windows, and usable floor plan.


You can direct broad visual changes while protecting important details in the same prompt. The current workbench is designed for prompt-led whole-image editing, not pixel-local manual selection.
Replace a studio, room, landscape, or campaign environment while naming the subject details to keep.
Change a palette, garment color, surface, finish, or material direction with explicit preservation constraints.
Ask for a new time of day, light quality, contrast, reflections, or editorial grade.
Add, remove, or reposition visual elements through a whole-image prompt, then inspect surrounding details.
Direct short headlines, labels, hierarchy, and negative space; always proofread generated text.
Shift a visual toward a photographic, editorial, illustrated, architectural, or campaign treatment.
The editor does not provide brush, mask, or layer controls. Avoid promising an exact pixel-local change; state the intended edit and preservation rules, then compare the result with the source.
A useful AI image editor prompt separates the requested change from the visual facts that must survive it. Add the finish and final use only after those two decisions are clear.
Name one clear transformation first.
“Replace the background with warm limestone and soft window light.”
List the visual invariants that matter.
“Keep the bottle shape, label spelling, cap, camera angle, and crop unchanged.”
Define lighting, material, palette, and visual quality.
“Use restrained reflections, natural shadows, and a premium editorial finish.”
Explain where the edit will be used.
“Compose for a 4:5 ecommerce campaign image with clear space above the product.”
Banana Pro AI, Adobe Firefly, and Canva Magic Edit support different editing decisions. The relevant distinction is the workflow around the change—not an unsupported claim that one tool is universally better.
| Decision | Banana Pro AI | Adobe Firefly | Canva Magic Edit |
|---|---|---|---|
| Editing workflow | Prompt-led whole-image editing in a focused browser workbench | Generative Fill inside the Firefly editing workflow | Magic Edit inside Canva’s broader design and photo editor |
| Selection method | Describe the change and preservation rules; no exposed brush or mask | Brush or select a target region before prompting the fill | Select an area or element, then prompt an add, remove, or change action |
| Reference input | One source plus as many as 15 optional ordered references | A reference image can be added to guide Generative Fill | The selected canvas content provides context inside the design workflow |
| Output controls | Common aspect ratios with 1K, 2K, and 4K choices | Output continues in the Adobe editing workflow | Output continues in the Canva design and publishing workflow |
| Practical fit | Prompt-led whole-image variations when the full source can be evaluated together | Localized edits when brush-based region selection is important | Template, social, and design assembly around the edited image |
Product facts
This page exposes prompt-led editing, one source plus optional ordered references, and 1K/2K/4K controls.
External product facts
Adobe documents brush-led Generative Fill and optional references. Canva documents prompt-based add, remove, and change actions on selected content.
Workflow recommendation
Choose whole-image prompting for prompt-led variations, Firefly for brush-selected local work, or Canva when the edit belongs inside a template and publishing flow.
The editor accepts JPG, JPEG, PNG, and WebP files, supports one source plus 15 references, and offers 1K, 2K, and 4K output with credit costs shown before generation.
Available ratios are auto, 1:1, 3:2, 2:3, 4:3, 3:4, 16:9, 9:16, 2:1, 1:2, 3:1, 1:3, 21:9, 9:21, 5:4, and 4:5. At 2K or 4K, 5:4, 4:5, 3:1, 1:3, and 9:21 are disabled.
This is a credit-based tool, not an unlimited free service. Generated details can vary, so review text, identity, geometry, edges, and reference adherence before publication.
These answers cover how the editor uses sources and references, which files and resolutions it accepts, how credits work, and where the current prompt-led workflow stops.
An AI image editor changes an existing image from a written instruction. You provide the source, describe the transformation and what to preserve, and the model produces a new image rather than a traditional editable layer stack.
The first uploaded image is the source. You can add up to 15 ordered references for lighting, material, color, or style context. Explain the role of each reference in the prompt instead of assuming the model will infer it.
The editor accepts JPG, JPEG, PNG, and WebP. Each upload is limited to 20 MB, and the full input stack can contain one source plus 15 references.
At 2K and 4K, 5:4, 4:5, 3:1, 1:3, and 9:21 are unavailable. Choose 1K for those ratios or select a compatible ratio before generating a higher-resolution edit.
No unlimited-free claim is made. This is a credit-based editor: 1K costs 20 credits, while 2K and 4K each cost 40 credits. The Generate button shows the current credit cost. Sign-in and available balance are checked when you generate.
No. The current editor does not provide brush, mask, or layer controls. It uses prompt-led whole-image editing, so describe the target change and the elements that must remain in precise language.
Name important invariants explicitly: identity, product geometry, logo placement, exact short text, camera position, crop, pose, and colors. Review the result closely because generated edits can still vary.
Product limits on this page come from the implemented editor contract and integration documentation. External comparison statements link to the vendors’ own current feature documentation.
Continue with the GPT Image 2 model guide, compare other image workflows in the model directory, or review the current credit plans before generating.
Start with the real source, write one clear change and a short preservation list, then choose a resolution that fits the job.
Open the editor