Prompting GPT Image 2 Pro for Product Shots That Look Ready to Ship

Product shots have a different job from concept art. They need to make the object understandable, desirable, and trustworthy. A beautiful image that changes the product shape, hides important details, or adds confusing props can slow a team down.

Use this prompt structure when you want GPT Image 2 Pro to generate product visuals that feel close to production-ready.

1. Name the product plainly

Start with the product category and the exact object that should appear. Avoid relying only on brand adjectives.

Instead of asking for "a premium futuristic workspace image," ask for "a three-quarter studio product shot of a compact white desk lamp with a brushed aluminum hinge." The second version gives GPT Image 2 Pro a physical target.

2. Lock the camera and crop

Camera instructions reduce ambiguity. Include the angle, distance, and crop:

• Front-facing packshot for a catalog card.
• Three-quarter view for a landing page hero.
• Top-down flat lay for accessories.
• Close-up detail shot for materials, texture, or craftsmanship.

If the image will be placed inside a UI, mention the safe area and where negative space should sit.

3. Separate product truth from scene mood

Prompts become stronger when product constraints and scene styling are separate. Write the product truth first:

Keep the product geometry accurate, preserve the proportions, and do not add extra buttons, seams, labels, ports, or decorative marks.

Then add the scene:

Place it on a matte stone surface with soft window light and a muted background.

This order tells GPT Image 2 Pro what must stay stable and what can be interpreted creatively.

4. Add a quality bar

The final prompt should describe what "good" means:

• Crisp edges around the product.
• Clean reflections without warped geometry.
• Natural contact shadows.
• Readable silhouette at thumbnail size.
• No random typography or fake logos.

These details help keep the image useful for real product pages, not just visually interesting.

5. Iterate with diagnosis

When the first result is close, respond with a diagnosis. For example: "The lighting works, but the hinge shape changed and the background is too busy." That kind of feedback is more effective than asking for a generic improvement.

GPT Image 2 Pro can move faster when the next instruction identifies exactly what to preserve and exactly what to change.