6.1 KiB
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Cosmos recipes
Maintained family · Inference
Cosmos inference recipes
NVIDIA Cosmos Predict 2.5 generates navigable world videos. The maintained example runs the 2B text-to-world checkpoint on a single GPU.
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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<span class="cookbook-badge" data-cookbook-evidence>Source-backed</span>
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<a data-cookbook-source href="../../inference/examples/basic/">Open example source</a>
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JavaScript is needed for the guided selector. You can still browse the
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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 for supported Python and CLI settings, Optimizations for attention and memory tradeoffs, and the support matrix for the supported model and optimization surface.
Troubleshooting
- World-generation prompts work best describing a scene and camera motion; the built-in prompt in the example is a known-good starting point.
- Gated or missing checkpoints: run
huggingface-cli loginand confirm you accepted the model's license on Hugging Face.
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.