etched-ai/open-oasis

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2123 stars · 186 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Inference code and model weights for Oasis 500M, an interactive world model from Decart and Etched that generates gameplay video autoregressively conditioned on keyboard actions. It uses diffusion transformers (DiT) with a ViT VAE to produce action-conditional frame generation from a prompt frame.

Use cases

• generate gameplay video from keyboard input
• run action-conditional video frame generation
• experiment with interactive world models
• generate video from a custom image prompt
• research autoregressive diffusion transformers

When to choose

• you want to run or experiment with the Oasis 500M world model locally
• you need open weights for action-conditional video generation research
• you have a CUDA GPU and want to reproduce the demo gameplay generation

When to avoid

• you need the full-quality Oasis model rather than the downscaled 500M version
• you lack a CUDA GPU or the memory to run diffusion transformer inference
• you want a polished game or end-user application rather than an inference script

Facets

library · maturity experimental

machine-learning deep-learning llm-inference video-processing simulation artificial-intelligence deep-learning gaming-tools simulation python world-model diffusion-transformer interactive-video-generation gameplay-generation model-weights gpu linux

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