{"data":{"full_name":"Zheng-Chong/CatVTON","name":"CatVTON","description":"[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).","stars":1615.0,"forks":207.0,"language":"Python","license":"NOASSERTION","archived":0.0,"subcategory":"virtual-try-on","last_pushed_at":"2025-12-16T00:59:26+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":6.0,"adoption_score":10.0,"maturity_score":16.0,"community_score":21.0,"quality_score":53.0,"quality_tier":"established","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-13T00:02:37.968616+00:00"}}