Generative AI
AI Virtual Try-On Engine
Photorealistic garment transfer on real model photos - built from scratch using diffusion models, body analysis, and cloud GPU infrastructure.
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- Client
- E-commerce Brand
- Industry
- E-commerce
- Year
- 2026
- Discipline
- Generative AI
Python 3.10SDXLLoRAOpenPoseDensePose
The problem
An e-commerce brand needed a way to show any garment on any model photo without running a full photo shoot for every SKU.
Our approach
We engineered a complete AI virtual try-on pipeline that swaps garments with photorealistic accuracy - preserving the model's pose, lighting, and body geometry while replacing only the target clothing region.
What we delivered
- Multi-model body analysis pipeline
- Custom masking engine
- Garment-conditioned diffusion model
- LoRA fine-tuning for domain specialization
- Serverless cloud inference
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