Use a reference image to generate controlled visual variations with stable structure and style refinement.
Start from an existing image and apply controlled prompt changes for style upgrades, campaign adaptation, and structured visual refinement.
Use source visuals to keep key structure while applying direction changes through concise prompts and constraints.
Maintain character or product identity across variants, reducing drift in repeated iteration rounds.
Shift mood, color strategy, and material finish without sacrificing layout intent or key narrative elements.
Convert one base asset into channel specific variations for social, ads, and product storytelling workflows.
Iterate one change at a time to improve predictability and reduce unnecessary regeneration cycles.
Export improved variants that move cleanly into design review, publishing, and marketing delivery pipelines.
Upload your starting image, define edit direction, and iterate toward a stable final output.
Choose an image with the subject and structure you want to retain while refining style and detail.
Specify what should remain stable and what should shift, including mood, materials, and composition emphasis.
Review generated versions, tighten prompt constraints, and publish the strongest result for your use case.
Use it when you already have a base visual and want controlled improvements or style adaptations without rebuilding from scratch.
Start with a strong reference and clearly state fixed elements before listing changes in priority order.
Yes. It is effective for producing consistent campaign variants from approved seed visuals.
Style shifts, color mood updates, lighting adjustments, and detail refinement usually produce high quality controlled outputs.
Yes. Multi variant generation supports faster review and decision workflows across teams.
Keep prompts concise, preserve anchors explicitly, and iterate in smaller steps rather than issuing broad changes all at once.
Commercial usage depends on your plan and terms. Confirm licensing requirements for external distribution.
Credit usage varies by selected model and settings and is displayed before you run the task.