--- hide: - toc --- # Wan recipes
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Maintained family · Inference

Wan inference recipes

Wan recipes span maintained CUDA examples and the released FastMetal 1.3B, 5B, and 14B native MLX paths for Apple Silicon.

7 maintained recipes
Inference live Distillation planned Fine-tuning planned Training planned Evaluation planned Optimization planned Deployment planned

Pick a recipe and runtime

Choose the result you want, then use a maintained CUDA or native MLX path.

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 - Out of memory on the A14B recipes: the checked-in sources already enable CPU offload; see [Configuration](../inference/configuration.md) for the offload surface before reducing resolution or frames. - The FastWan2.1 recipe requires `VIDEO_SPARSE_ATTN`; confirm the environment variable in the command was set in the same shell. - Gated or missing checkpoints: run `huggingface-cli login` and confirm you accepted the model's license on Hugging Face. ## Evidence status Every recipe on this page maps to a checked-in FastVideo source. The FastMetal MLX releases include the recorded M4 Max system memory, documented unified-memory floor, and measured peak MLX memory. CUDA entries remain **Source-backed** where the examples record a GPU count but no exact GPU model or VRAM. Unlisted hardware is unknown, not unsupported.