--- hide: - toc --- # Matrix Game recipes
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Maintained family · Inference

Matrix Game inference recipes

Matrix Game generates playable interactive worlds from an input image and prompt. Maintained examples cover Matrix Game 2.0 variants and Matrix Game 3.0 at 720p.

Inference live Distillation planned Fine-tuning planned Training planned Evaluation planned Optimization planned Deployment planned

Choose a model and GPU count

Choose a model, then pick a GPU count. Each selection maps to one checked-in recipe. If that recipe does not use your chosen count, the page says so instead of guessing.

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## Before you run The generated commands expect a local clone: git clone https://github.com/hao-ai-lab/FastVideo.git cd FastVideo Use [Configuration](../inference/configuration.md) for supported Python and CLI settings, [Optimizations](../inference/optimizations.md) for attention and memory tradeoffs, and the [support matrix](../inference/support_matrix.md) for the supported model and optimization surface. ## Troubleshooting - Matrix Game 3.0 downloads its reference input image from GitHub; offline machines should pre-download it and edit the `IMAGE_URL` constant locally. - Streaming variants of Matrix Game 2.0 exist under `examples/inference/basic/basic_matrixgame2_streaming.py` but are not included as cookbook recipes. ## Evidence status All recipes on this page are **Source-backed**: their commands, model IDs, and flags were validated against the checked-in FastVideo sources listed above (static validation). No runtime GPU validation is recorded for these recipes, so GPU model fit, memory use, throughput, and runtime duration are **Unknown** and deliberately not claimed. Runtime buttons show only the GPU counts configured in checked-in sources.