Launching today
WorldFoundry
World Model, Infrastructure, Inference, Eval
6 followers
World Model, Infrastructure, Inference, Eval
6 followers
WorldFoundry | A Unified Inference and Evaluation Framework for World Models WorldFoundry is an open-source infrastructure that unifies inference and evaluation for generative world models. It supports video generation, interactive worlds, 3D/4D representations, and embodied models through a unified workflow with TUI, CLI, and Studio interfaces. The framework integrates a growing collection of state-of-the-art models and currently includes 58 benchmarks.
How does it actually compare results across such different model types like video generation vs 3D vs embodied models, do the benchmark scores mean apples to apples or do you have to interpret them separately for each category?
Tried the TUI yesterday and was surprised how clean the workflow feels. Jumping between different world models without rewriting code is genuinely useful.