--- hide: - toc --- # LongCat recipes
All model families

Maintained family · Inference

LongCat inference recipes

LongCat Video from Meituan covers text-to-video and image-to-video, and its maintained examples chain optional distilled and 720p refinement passes.

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.

Recipe Task and checkpoint
Runtime Maintained paths only

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Exact device and memory details appear only when a recorded run supports them.

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Maintained Source-backed Source config
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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 - Each LongCat script runs multiple passes (basic, distilled, refine); total runtime scales accordingly, and every pass prints its own output directory. - Out of memory: the sources already enable VAE and text-encoder CPU offload; further options are covered in [Offloading](../inference/offloading.md). ## 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.