High-fidelity photorealistic AI image generation with natural prompting
Identify any shoe or bag from a photo: brand, model and colorway
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
Not given
Pricing model
Open source
Freemium
Pricing
Free and open source
Free: one identification per day without account, or three per day with free account plus one resale listing. Seller Pass: $4.99 (one-time payment) for 20 listings and 30 days of unlimited identifications.
Key features
High-fidelity skin and eye rendering with fine pores and light reflections
Robust composition coherence for multi-subject scenes and action shots
Baked-in VAE with optimized color tuning
Simple natural language prompting without complex templates
Compatible with ComfyUI, Automatic1111, and Forge
Works with popular SDXL ControlNets and IP-Adapters
Thousands of compatible LoRAs available
Optimized CFG sensitivity for high quality at lower scales
Natural light scattering and structural accuracy
Experimental Catalyst branch for continuous model evolution
Identify sneakers, shoes, boots, heels, flats, sandals and loafers from photos
Identify handbags, totes, purses and backpacks from photos
Brand, model and colorway identification with confidence score
Close candidates shown when photo is not conclusive
Shopping, resale and look-alike links
No sign-up required for basic use
Ready-to-post resale listings with free account
Photo metadata removal before upload
What makes it different
Minimal prompting complexity with natural language descriptions instead of complex embeddings
Eliminates artificial AI textures and generic rendering artifacts
Open-source with commercial use permissions
Seamless integration into existing AI image generation workflows
Continuously refined through community feedback and experimental development
Won't guess: shows candidates instead when details aren't visible
Does not judge authenticity—only identifies the design
Photos are not stored or used for training
89% shoes and 95% bags correctly named in blind tests