Fixed production login configuration for TestFlight builds and improved app environment tracking. Improved digital twin creation with scene-based prompts, better profile avatar framing, and corrected model generation credit handling. Includes stability improvements and UI refinements across the wardrobe and model creation flows.

Improved digital twin creation with a simpler one-photo upload flow, crop support, and scene selection for more personalized AI model results. Updated profile avatar cropping for better visibility, refined theme-based UI colors, and improved upgrade prompts when generation limits are reached. Fixed credit package handling so purchased credits correctly apply to model generation limits, and improved stability for AI model generation.

Improved outfit try-on flow with scene selection, updated theme colors across key screens, refreshed trend outfit previews, and enhanced upgrade prompts for usage limits.

This update improves wardrobe categories, theme consistency, AI model creation guidance, and overall app stability. We also fixed the app icon display for TestFlight builds.

Added smarter AI outfit suggestions based on your personal style and wardrobe. Improved wardrobe matching system to combine your existing clothes with ready-made outfit inspirations. Enhanced duplicate item detection to help you remove similar pieces and keep your closet organized. Better outfit recommendations using the clothes you already own, helping you create more looks with fewer items. Improved AI styling accuracy for color, fit, and category matching. Faster wardrobe analysis and smoother outfit generation experience. Updated UI and performance improvements for a cleaner and more intuitive experience. Fixed minor bugs and improved overall app stability.

What’s New We’ve improved the onboarding and wardrobe experience to make AI styling more personal and useful from the first session. • Added ready-to-use default wardrobe items for new users. • Default clothing suggestions are now personalized based on the user’s selected gender and age range. • Improved wardrobe filtering so users only see starter items that match their selected style profile. • Added support for updating style preferences such as gender and age range from the profile area. • Improved AI try-on flows with clearer progress feedback and better result handling. • Enhanced the weekly outfit planner experience and try-on feedback. • Added improved notification permission handling so push tokens can be refreshed when users enable notifications. • Added backend support for managing default wardrobe items and admin-created combinations. • Improved product metadata and clothing import support. • Fixed several onboarding, wardrobe, and default item selection issues. • General performance, stability, and UI improvements.

Push notifications added for completed AI results, so you can get notified when your creations are ready. Improved image generation and clothing analysis flows for a smoother experience. Fixed bugs and made performance improvements across the app.

Added Personal AI Model creation Added virtual try-on with your AI model Added outfit preview and comparison tools Added credit add-on package support Improved premium plan and purchase flow Enhanced AI wardrobe organization and outfit planning Performance improvements and bug fixes