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Open-Oasis provides inference code and released weights for Oasis 500M, an interactive world model that generates gameplay frames conditioned on user keyboard input. Instead of rendering a pre-built game world, the system produces the next visual state via a diffusion-transformer approach, effectively “imagining” the world response to your actions in real time. The project focuses on enabling action-conditional frame generation so developers can experiment with interactive, model-generated environments rather than static video generation alone. Because it’s an inference-focused repository, it’s especially useful as a practical reference for running the model, wiring inputs, and producing the autoregressive sequence of gameplay frames. It also serves as a research sandbox for people exploring how far interactive generative models can go with smaller, more accessible checkpoints compared to massive internal systems.
Features
- Action-conditional frame generation driven by keyboard input
- Diffusion-transformer-based interactive world modelling approach
- Released Oasis 500M weights for local experimentation
- Inference scripts for running realtime or near-realtime generation loops
- Supports autoregressive gameplay frame sequencing
- Useful baseline for research on interactive generative environments
Project Samples
