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LiveFrame
LiveFrame is a benchmark harness that measures the runtime performance and verification of video world models.
LiveFrame helps engineers determine whether a streaming video-generation system works for a real workload and verifies optimization performance without weakening quality. It points at action-conditioned world models to generate self-contained HTML reports, machine-readable JSON reports, and digest-bound ledgers. The platform supports suites like smoke, quick, standard, soak, and memory, and includes commands like world compare and world export. It counts native decoded frames only, avoiding inflated metrics from interpolated or duplicated frames. Designed for researchers and engineers, LiveFrame separates numerical trajectory, intrinsic quality, same-seed identity, and complete-wall performance.
LiveFrame at a glance
Key features
- Generates self-contained HTML reports and machine-readable JSON reports
- Provides digest-bound ledgers for artifact verification
- Measures native decoded frames without counting interpolated or duplicated frames
- Supports smoke, quick, standard, soak, and memory test suites
- Includes world compare command for configuration differences
- Supports world export for interop with quality-focused benchmarks
- Tracks numerical trajectory, intrinsic quality, and same-seed identity
Use it for
- Determine whether a streaming video-generation system works for a real workload
- Verify that an optimization improves complete-wall performance
- Compare configuration differences between video world models
- Audit generated video frames and digest-bound ledgers
Alternatives to LiveFrame
- ATAS — Maintains persistent spatial and event memory across shots.
- Video2World — It evaluates coding agents on geometry, dynamics, and functionality across 222 tasks.
- HyperFrames — It enables AI agents to create and render production-ready videos.
- LiveBench — Compare model performance and operational costs without contamination.
- FrameCap — Lets ChatGPT and Claude see code, slides, and settings in YouTube videos.
- Vev — Runs locally on NVIDIA hardware with a fast, Jev-compatible API.
- JEV sees — Turns visual input into program-ready structured choices and probabilities.
- ObsidianYouTubeSync — Automates YouTube history syncing, transcription, and AI-powered knowledge graph creation.
- DeepInfer Studio — Explore AI inference workflows and resource trade-offs without requiring expensive hardware or GPUs.
- Video Prediction Policy 2 — Achieves state-of-the-art performance on the RoboDojo-Sim leaderboard.
- EvalScope — It combines model capability benchmarks with inference performance testing in one tool.
- ScopeWeaver — Coordinates autonomous security agents and asset scope in a single console.
All LiveFrame alternatives