Turn ghost-mannequin shots into photos on real models

The ghost-mannequin shot is used as the source of truth for visible shape, color, construction, pleats, closures, and fit cues. Clear, high-resolution source photos give the generation model more product information to follow, and extra angles help with details the front view does not show.

Send a well-lit product photo where the complete garment edge, color, closures, and construction details are easy to see. A clean background helps, and front plus back source views are useful when the garment has details that change by angle.

You can request all three views from one source photo. When a side or back view contains details that are not visible from the front, sending those extra product views gives the model better evidence for the requested angle.

QA is toggleable, automatic, and agent-driven. When enabled, a separate AI reviewer checks each result against the garment source and the requested shot, records a written reason, and can trigger a retry when a check fails.

Yes. Batch workflows can apply the same model, backdrop, lighting, crop, requested angles, and AI reviewer settings across many garment inputs while keeping each product tied to its own source photos.

No. This workflow starts with the hollow ghost-mannequin photos you already have and converts them into photos of the garment worn by a real-looking model. The original product shot remains the garment reference.