MANNEQUIN.AI: Interactive Virtual Fitting
A real-time AI-powered virtual fitting room experience. Allows users to see how clothes fit on their own body avatars.
Impact
Product Advisor
Role
90% Cost Saving
Impact
Role & Impact
Strategized the AI roadmap and bridged the gap between creative vision and technical feasibility. Eliminated the need for physical studios, models, and sets for standard product inventory shootings.
Process
The challenge was to maintain brand consistency and high-fidelity textures in cloth while allowing for infinite model combinations.
- AI Architecture: Designing a multi-stage pipeline using Stable Diffusion and custom LoRA models.
- Backend Prototyping: Implementing the core image generation and upscaling logic in Python.
- Fidelity Tuning: Real-time feedback loops to ensure “commercial grade” output quality. Produced a high-impact video sales demo showcasing the platform’s capabilities.
Methods
- Stable Diffusion XL
- LoRA Training
- ControlNet
- Python (FastAPI)
- GPU Orchestration
