- Upload methods: drag-and-drop or file picker
- Validation: JPG/PNG/WEBP up to 10 MB
- AI analysis: auto-detects clothing type and category (upper / lower / dress / under)
- Results shown: detected type & category, confidence score, text/logo detection
- UI: professional scanning animation during processing

Overview
Guided flow with a step-by-step progress indicator: Select Products → Select Model → Select Poses → Select Background → Summary Users can navigate back to completed steps at any time. Optimized for desktop and mobile, with real-time status updates during generation.Prerequisites
Active Typelense account and available credits Product images in JPG / PNG / WEBP, up to 10 MB, sRGB One garment per file (avoid collages), neutral background recommendedStep-by-step workflow
1
Step 1 — Product upload & analysis
Primary upload flow
Primary upload flow
Complementary garment (optional)
Complementary garment (optional)
- Trigger: suggested when the primary garment implies a set (e.g., top → recommend bottom)
- Options:
- Upload a complementary garment
- Select from predefined garment library
- Skip
- Smart suggestions: recommended types based on the primary category
- Validation: same AI checks as the primary garment
2
Step 2 — Model selection
- Gallery: grid with optimized previews & metadata (name, age, gender)
- Filters: gender, age ranges (18–25, 26–35, 36–45, 46–55), hair color, ethnicity
- Indicators: pro/premium labels
- Favorites: star models for quick access
- Performance: caching & preloading for smooth browsing
- Selection: choose one model; visual confirmation on selection
3
Step 3 — Pose selection
- Dynamic loading: poses fetched for the selected model
- Display: 9:16-optimized grid
- Auto-selection: first pose is preselected when a model is chosen
- Validation: pose/model compatibility checks
- Performance: prioritized loading for visible poses
4
Step 4 — Background selection
- Categories: Studio, Outdoor, Lifestyle, etc.
- Preview: high-quality thumbnails with style names
- Pro assets: premium backgrounds clearly marked
- Selection: single background with instant visual feedback
- Admin: background management tools available for administrators
5
Step 5 — Summary & generation
Configuration review
Configuration review
- Visual summary: side-by-side of product(s), selected model pose, and background
- Details shown:
- Model info & preview
- Pose name/preview
- Background style
- Garment analysis (type, category, text detection)
- Credits: real-time calculation (1 credit per image)
- Validation: checks that all selections are complete
Start generation
Start generation
- Project selection: choose an existing project or create new to store results
- Credit verification: system confirms sufficient balance
- Generation: initiates LenseAI pipeline.
Generation progress & monitoring
Real-time tracking
Progress bar with percentage and live elapsed time Statuses:- Analyzing Product — AI garment analysis & prompt building
- Generating Image — base image creation
- Enhancing Quality — upscaling & refinements
Phases under the hood
- AI Analysis: product understanding & constraints
- Image Generation: base on-model render
- Upscaling: automatic enhancement via external service
- Storage: final asset saved to Supabase with metadata