VisionFlow — Restyle Portraits app analytics for September 15

One portrait. A dozen versions of it. VisionFlow is built around a single idea: you already have the photo, you just want to see it another way. Wearing something else. Standing differently. Moving. Against a different backdrop. Feed it one picture and the app hands back the variations. WHAT'S INSIDE Clothes Changer Send in a full-body shot and watch the outfit change. Browse looks the way you would browse a rack, without owning any of it. AI Pose One portrait becomes a short clip of that same person holding a different pose. Useful when the shot is right but the stance is not. Photo Alive A still frame starts moving. Quiet motion, nothing exaggerated, enough to make a fixed image feel like it was filmed. AI Brush Paint over whatever should not be in frame. The backdrop closes up behind your strokes. Manual control for the cases automatic cutouts get wrong. AI Photo Edit Say what should change and it changes. Lighting, setting, styling, mood. Written instructions instead of layers and masks. START FROM A TEMPLATE If a blank canvas is the hard part, open the template shelf. Every entry is a finished look waiting for your photo to be dropped in. THE WORKFLOW Pick a tool, hand it a picture, wait out a short render, keep or discard. That is the whole loop. Everything you keep lands in your library, sorted by the tool that produced it. WORTH KNOWING BEFORE YOUR FIRST RENDER Upload only pictures that are yours to use. Where someone else appears in the frame, that person needs to have agreed to it. What comes back is synthesised by machine-learning models — AI-made imagery, not footage of anything that happened. Sharp, evenly lit, front-on portraits survive the process best; dim or heavily obstructed source photos will not.