Transform existing images with guided AI edits while preserving layout, subject, and visual intent.
Use a reference image as the starting point and apply prompt-driven changes for restyling, enhancement, and controlled creative iteration.
Start from an uploaded image so generated outputs remain anchored to your original composition.
Keep key subject placement and scene geometry more stable while modifying look and detail.
Apply mood, color, and style transformations without rebuilding the visual concept from zero.
Generate multiple edited versions and compare subtle or bold changes in short review cycles.
Describe what to keep and what to change to reduce drift and improve edit consistency.
Convert legacy visuals into fresh variants for campaigns, social content, and product pages.
Upload a source image, define your changes, and iterate toward a clean final output.
Choose the base image you want to transform while preserving essential composition cues.
Write clear edit instructions for style, objects, lighting, or mood with specific constraints.
Review multiple versions, refine prompt details, and download the best result.
Use it when you already have a base image and need controlled transformations without losing the original structure.
Yes. Reference-based workflows are designed to keep composition and subject placement more stable than prompt-only generation.
Style transfer, color adjustments, atmosphere changes, and guided object refinements usually perform well.
Specify preserved elements first, then list changes in priority order using concise instructions.
Yes. Producing several variants per round helps teams evaluate direction and select the best output faster.
Yes. It is commonly used to repurpose visuals into consistent styles for different channels and campaigns.
Commercial rights depend on your plan and terms. Confirm licensing details before external deployment.
Credits vary by model and configuration, and the expected cost is displayed before generation.