AI Product Images

Upload your product image first, then choose the scene path and generate lifestyle, hero, and value-prop images faster.

AI Product Images is built around a product-image-first workflow. You upload the product, then choose one scene path β€” recommended scenes, uploaded scenes, or custom scene text β€” and finally generate multiple e-commerce-ready image variations.

When To Use

Use this page when you already have product photography but need more hero images, lifestyle scenes, or value-prop visuals without a new shoot.

It fits listing upgrades, ad-creative expansion, and scene-based testing for the same SKU.

Workflow

The most stable flow is product image first, scene decision second, generation third.

  1. 1

    Step 1: Upload Product Images

    Upload your product assets first. The page enforces total reference-image limits based on the selected mode and shows file guidance in the upload area.

  2. 2

    Step 2: Choose the Scene Path

    Pick from recommended scenes, upload your own scene, or describe a custom scene in text. AI Smart Scene can be used when you want the system to suggest a direction.

  3. 3

    Step 3: Set Parameters and Generate

    Confirm quality mode, output count, and related settings, then generate. Results flow into the gallery for download, edit-again loops, and cleanup.

If you only need to test direction fast, start with recommended scenes or AI Smart Scene. Use uploaded or custom scenes only when the creative direction is already clear.

How To Choose the Scene Path

The three scene paths support different workflows, and picking the right one matters more than over-generating.

  • Recommended Scenes: best for fast exploration and broad browsing
  • Uploaded Scene: best when you already have a branded or reference background
  • Custom Scene: best when you need to describe a precise environment in text
  • AI Smart Scene: best when you want the system to propose a direction from the product itself

Best Practices

Clean product input matters more than complex backgrounds. If the product subject is weak, scene changes will not save the result.

For ad testing, start with a few clearly different scene directions, then scale the winning direction instead of generating everything at once.

  • Define the value proposition before picking the scene
  • Do not overload the reference set with too many different sources
  • Keep strong gallery results so they can become future templates

Try it live

Run this in SATLIS β€” free, with real-time data the moment you check.

Open SATLIS (free)