Post
4513
π StyleGen: AI-Powered Virtual Try-On Service
StyleGen offers a virtual try-on solution powered by cutting-edge AI technology. Built on the FLUX.1 model, this service provides an innovative experience allowing users to virtually try on desired clothing items without physical fitting.
π± Key Features
Virtual try-on capability using full-body photo and clothing image
Customizable fitting strength adjustment (range 0-50)
Style transfer intensity control (range 0-1)
Intuitive orange-themed user interface
Real-time automatic image resizing
28-step sampling for high-quality image generation
Quick demonstration through diverse example images
Efficient image generation via batch processing
Real-time progress tracking with progress bar
π« Technical Highlights
Utilization of FLUX.1 Redux and Depth models
High-quality image generation using VAE (Variational AutoEncoder)
Sophisticated style transfer through CLIP Vision
Depth-aware technology for natural clothing fitting
Random seed-based diverse output generation
Flexible image resizing with aspect ratio preservation
Advanced scheduler for stable image generation
Fast processing through GPU acceleration
StyleGen overcomes the limitations of online shopping by providing a more convenient and immersive shopping experience. Designed with a user-friendly interface, it is expected to open new horizons in online fashion retail.
π Try it now: ginipick/StyleGen
StyleGen offers a virtual try-on solution powered by cutting-edge AI technology. Built on the FLUX.1 model, this service provides an innovative experience allowing users to virtually try on desired clothing items without physical fitting.
π± Key Features
Virtual try-on capability using full-body photo and clothing image
Customizable fitting strength adjustment (range 0-50)
Style transfer intensity control (range 0-1)
Intuitive orange-themed user interface
Real-time automatic image resizing
28-step sampling for high-quality image generation
Quick demonstration through diverse example images
Efficient image generation via batch processing
Real-time progress tracking with progress bar
π« Technical Highlights
Utilization of FLUX.1 Redux and Depth models
High-quality image generation using VAE (Variational AutoEncoder)
Sophisticated style transfer through CLIP Vision
Depth-aware technology for natural clothing fitting
Random seed-based diverse output generation
Flexible image resizing with aspect ratio preservation
Advanced scheduler for stable image generation
Fast processing through GPU acceleration
StyleGen overcomes the limitations of online shopping by providing a more convenient and immersive shopping experience. Designed with a user-friendly interface, it is expected to open new horizons in online fashion retail.
π Try it now: ginipick/StyleGen