A Clear AI Image Editing Workflow: From Reference to Final Version

A reliable AI image workflow separates creative intent, spatial instructions, and output constraints. ImageAgent brings these decisions together on one canvas so the request remains understandable as it becomes more detailed.

1. Start with the strongest reference

Choose an image with the subject, angle, or composition you want to preserve. A clear reference gives the editor useful structure before style instructions are added.

2. Describe the overall goal

Write one sentence that explains the final outcome: product photograph, editorial portrait, social ad, background replacement, or another concrete use case. Include the desired mood or visual style only when it changes the result.

3. Add spatial instructions

Use comments for local changes and masks for removals. Add visible text only when the words should be rendered into the image. The prompt and canvas marks should complement each other instead of repeating the same information.

4. Select the delivery format

Set the aspect ratio for the final destination. For example:

• 1:1 for marketplace thumbnails and profile images
• 4:5 for portrait social posts
• 9:16 for stories and short-form video covers
• 16:9 for presentation and website hero images

5. Review versions as decisions

Compare versions by the details that matter: subject consistency, edge quality, typography, lighting, and composition. Choose the closest version, then annotate only what remains wrong.

6. Export a clean handoff

Export the current canvas when you need to share a visual brief or preserve the exact annotation state. Once a configured image model returns the final result, export that version for production use.

The most efficient workflow is not the one with the longest prompt. It is the one where every instruction has a clear purpose and a clear location.