MannequinIA · Glossary

AI fashion photography glossary

The key terms of AI-generated product photography, defined plainly.

AI model: A human model generated entirely by AI, used to wear garments in photos without casting or a session. Reusable from photo to photo when its identity is locked.
On-model photo: A photo of a garment worn by a model (as opposed to the product laid flat). The fashion e-commerce standard because it shows real fit and drape.
Ghost mannequin: The “invisible mannequin” technique: the garment keeps its worn volume but the body is removed, giving a hollow 3D effect. An alternative to on-model photos for packshots.
Virtual try-on: Digitally applying a garment onto a model (AI or customer photo) from a plain packshot, with no photo session. MannequinIA relies on pixel-accurate try-on.
Locked identity: Memorising an AI model's features (face, complexion, body shape) to reproduce them identically across a whole catalogue. This is what makes the series believable.
Flat-lay: A flat layout of a garment shot from above on a surface. Fast to produce, often the starting point for a virtual try-on or a generated on-model photo.
Packshot: A product photo isolated on a neutral background, with no model, for e-commerce listings and marketplaces. Used as a source to generate AI on-model visuals.
AI product photo: A product visual created or enhanced by AI: background, model, staging, with no physical shoot. Covers on-model, packshot and lifestyle.
Scene: The background and mood generated around the model and product (studio, outdoor, lifestyle, seasonal). Lets you vary contexts without changing a shoot location.
Preset: A ready-made configuration (framing, lighting, scene, pose) applied in one click, with no prompt to write. Speeds up producing a consistent catalogue.