System Architecture.
Examine service boundaries, API contracts, data flows, and infrastructure components. Click to zoom and pan.
Demo Walkthrough.
Watch an end-to-end execution of the system in action.
Runtime Screenshots.
Interface states, developer logs, and monitoring views. Click any image to view in lightbox.
Technical Specifications.
Verified parameters and operational benchmarks for this release.
Tech Stack.
Features Checklist.
Core capabilities, verified deliverables, and technical assets included with this release.
- Complete source code included
- FastAPI-based REST API
- AI inference pipeline
- GPU-accelerated generation
- Support for multiple clothing categories
- Image upload and processing
- Deployment configuration
- Setup documentation
- API integration structure
System Requirements.
- OS
- Linux (Ubuntu 20.04/22.04) or Windows (WSL2)
- GPU
- NVIDIA GPU with 8GB+ VRAM (CUDA support)
- RAM
- 16GB recommended
- Python
- 3.10+
- Storage
- 10GB+ free space
About this Project.
AI Virtual Try-On API
Build virtual try-on experiences for fashion and e-commerce applications without developing the entire inference pipeline from scratch.
This project provides a GPU-accelerated virtual try-on API that accepts a person image and clothing image and generates an AI-powered try-on result.
What you get
- Complete source code
- FastAPI-based REST API
- AI inference pipeline
- GPU-accelerated generation
- Support for multiple clothing categories
- Image upload and processing
- Deployment configuration
- Setup documentation
- API integration structure
Supported use cases
This project is designed for developers and businesses building:
- Fashion e-commerce platforms
- Virtual fitting rooms
- Fashion catalog tools
- Clothing visualization systems
- AI fashion applications
- Virtual styling products
- Try-on demos and prototypes
Technology
Built using:
- Python
- FastAPI
- PyTorch
- Hugging Face Diffusers
- FLUX.2 Klein
- CUDA
- Docker
Requirements
A capable NVIDIA GPU is recommended for inference. The exact performance and generation time depend on the GPU, image resolution and inference configuration.
Important
This is a source-code product intended for developers who are comfortable deploying Python and GPU-based AI applications.
The purchase includes the existing implementation and setup guidance. Custom integrations, hosting, model modifications and ongoing development are not included.
License
Commercial Single-Project License.
You may use and modify the source code for one commercial project. Redistribution or resale of the source code as a standalone product is not permitted.