Recognition
Use a clear product reference to plan a view that makes the item easy to identify.
Seller resource
AI product photography with a source, a plan, and a review gate.
Lystiva plans reviewable product visuals from real product references instead of asking a blank prompt to invent a product from scratch.
Start with evidence
Match the buyer question to a reference.
A clear front view can establish the product's silhouette, but it cannot prove the back, capacity, or exact size. Add the missing angle or a seller-confirmed measurement before planning a frame that depends on it.
Detail
Supply a close reference for the finish, label, clasp, or construction a buyer needs to inspect.
A review gate
Reject frames that drift from confirmed Source facts and replan before generating again.
Plan complementary roles, not a guaranteed image count.
Recognition, detail, evidence-backed scale, and context are possible jobs for images, not four promised outputs from one photo. A scale view needs trustworthy size evidence; a hidden surface needs another reference. Leave a role out when the Source cannot support it.
Reject an attractive frame when it misses the job.
In Lystiva's first-party illustrative ceramic mug method example, the wide terrace draft is rejected for the primary listing role because the mug reads too small. A detail view is selected for inspection of the finish and handle. This demonstrates a review decision, not a customer result or current production access.