- Outfit Oracle™ — See It On You - — Wear What They’re Wearing - — Step Into the Look - — Try the Fit, Not the Filter 01 Gemini 3 FlashNeural Vision Intelligent Visual Deconstruction Our pipeline begins with a deep scan. The AI doesn't just see pixels; it identifies people as unique entities and 'deconstructs' their fashion into semantic metadata—listing fabric weight, weave patterns, and tailored fit descriptors in a structured JSON schema. 02 Gemini 2.5 Flash ImageLatent Space Synthesis Asset Isolation & Rendering Taking the metadata, we generate a professional flat-lay photograph. This process strips away the human subject and original background, isolating the garment as a studio-ready asset. The AI reconstructs folds and textures that were previously hidden by the person's pose. 03 Chromatic OverdriveTexture Preservation Parametric Color Mapping Unlike simple hue-shifting, our color engine re-prompts the diffusion model to reimagine the garment in a new color while respecting its physical properties. A 'Midnight Black' wool sweater retains its specific shadow depth, while a 'Soft Lavender' silk blouse maintains its sheen. 04 Dual ReferenceIdentity Precedence Identity-Anchored Context Transfer In the final stage, we merge identities. The system uses the 1st image as the 'Primary Identity Anchor' (Precedence). It extracts facial geometry and unique features to ensure the final output looks like the original person, even when moved to a new model's environment. Reference Hierarchy & Rules ComponentPrimary ReferenceLogic PriorityFacial IdentitySource Image (#1)PRECEDENCEGarment DesignSource AnalysisHigh FidelityPose & EnvironmentTarget Model Image (#2)Contextual ReferenceColor/LightingPreset + Target ContextHarmonized Render "The 1st image is the Source of Truth." Our architecture ensures that no matter where you place the outfit, the facial identity of the original subject remains the dominant visual feature. We preserve ethnicity, age, and individual characteristics with pixel-level attention.