Features
Image-to-image translation
Inpainting and outpainting
Support for multiple pipelines (StableDiffusionPipeline, FluxPipeline, etc.)
Customizable scheduler (Euler, DDIM, LMS, etc.)
Model loading from Hugging Face Hub
Containerized with Docker for easy deployment
RESTful JSON API for integration
Aynchronous job processing
GPU acceleration with CUDA
Low memory modes (e.g., attention slicing)
Open source with MIT license
160+ beauty marker facial analysis
Personalized non-surgical glow-up protocol
Visual projection of best-looking self
Research-backed recommendations with citations
Tailored to ethnic background and demographics
Considers lifestyle factors (diet, stress, sleep)
Adjusts for natural aging patterns
Facial dimorphism analysis
Detailed ear shape and projection analysis
Refined eye scleral and limbal ring measurements
Sharper jaw geometry angle and inclination analysis
Lip texture and health analysis
Refined eyebrow analysis with Westmore boundaries
Face shape analysis section
