{"data":{"full_name":"hu-zijing/AsynDM","name":"AsynDM","description":"[ICLR 26] Asynchronous diffusion models allocate individual pixels with varying timestep schedules, yielding improved text-to-image alignment. ","stars":18.0,"forks":1.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"compositional-t2i-generation","last_pushed_at":"2025-10-07T02:45:05+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":2.0,"adoption_score":6.0,"maturity_score":15.0,"community_score":5.0,"quality_score":28.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T11:49:01.880576+00:00"}}