AI eyewear product photos: lens glare and frame edges

For AI eyewear product photos, start from a sharp packshot of the real frame, ask the model to keep the frame shape, hinge, nose pads and lens tint identical, and change only the scene. Thin frames and clear lenses are where edits go wrong, so inspect the temple tips, the bridge and the lens reflections at full size.

What goes wrong first

Thin geometry has little room for error. Common faults are a bent temple, a bridge that moves, lenses that turn opaque, and a reflection that shows a scene that is not in the picture. Treat each as a checkpoint when you review.

A prompt that protects the frame

Name the parts. Say the frame silhouette, the bridge width, the temple length, the lens tint and the logo on the temple must not change. Then describe the new scene: a stone ledge, soft daylight, a neutral reflection in the lenses.

curl -X POST https://api.sume.com/v1/images \
  -H "Authorization: Bearer $SUME_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-image-2.5","prompt":"Keep the eyeglass frame identical: silhouette, bridge, temples, hinge, pads, lens tint and temple logo. Place it on a pale stone ledge in soft daylight, gentle neutral reflection in the lenses.","quality":"high","aspect_ratio":"4:5","input_references":[{"type":"image_url","image_url":{"url":"https://example.com/frame-packshot.png"}}]}'

Choose resolution for review

Nano Banana 2 and Pro list 0.5K, 1K, 2K and 4K. A 4K frame lets you check the hinge and temple tip, and a 0.5K draft is enough to test the scene. Ask for a draft first and spend on the larger size only for the composition you keep.

Compare with the source

Place the output and the packshot side by side at the same scale and flip between them. If the frame changed, do not keep editing the output. Return to the packshot and tighten the preserve list. Chaining edits tends to stack small errors, as covered in the edit-drift guide.

Try-on is a different job

To show the frame on a face, use a try-on workflow with a face photo as a second reference. Keep consent for any real person's photo in mind, and do not use a customer's face without permission.