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LTX recipes

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Lightricks

Maintained family · Inference

LTX inference recipes

LTX-2 from Lightricks generates video with synchronized audio. FastVideo maintains both a distilled four-GPU path and a base 1088p single-GPU path.

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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        <strong>Recipe</strong>
        <span>Task and checkpoint</span>
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        <strong>Runtime</strong>
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        <span class="cookbook-badge">Maintained</span>
        <span class="cookbook-badge" data-cookbook-evidence>Source-backed</span>
        <span class="cookbook-badge cookbook-badge--neutral" data-cookbook-hardware-badge>Source config</span>
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      <a data-cookbook-source href="../../inference/examples/basic/">Open example source</a>
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    <a href="../../inference/examples/examples_inference_index/">maintained inference examples</a>.
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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

  • The distilled recipe is source-configured for four GPUs; running it on fewer GPUs is unverified and may fail during distributed setup.
  • Audio-less output usually means the base checkpoint resolved instead of the distilled LTX-2 checkpoint with audio; check the loaded model ID in the logs.
  • Gated or missing checkpoints: run huggingface-cli login and 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.