131 lines
6.2 KiB
Markdown
131 lines
6.2 KiB
Markdown
---
|
|
hide:
|
|
- toc
|
|
---
|
|
|
|
# Wan recipes
|
|
|
|
<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="wan" data-recipes="../../assets/cookbook-recipes.json?v=4">
|
|
<header class="cookbook-family-header">
|
|
<a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
|
|
<div class="cookbook-family-header__body">
|
|
<span class="cookbook-family-header__logo">
|
|
<img class="off-glb" src="../../assets/logos/wan-ai.webp" alt="Wan-AI" width="112" height="112">
|
|
</span>
|
|
<div>
|
|
<p class="cookbook-eyebrow">Maintained family · Inference</p>
|
|
<h2>Wan inference recipes</h2>
|
|
<p>Wan recipes span maintained CUDA examples and the released FastMetal 1.3B, 5B, and 14B native MLX paths for Apple Silicon.</p>
|
|
<span class="cookbook-count" data-cookbook-count>7 maintained recipes</span>
|
|
</div>
|
|
</div>
|
|
<div class="cookbook-lifecycle" aria-label="Lifecycle stages">
|
|
<span class="cookbook-lifecycle__stage cookbook-lifecycle__stage--active">Inference <small>live</small></span>
|
|
<span class="cookbook-lifecycle__stage">Distillation <small>planned</small></span>
|
|
<span class="cookbook-lifecycle__stage">Fine-tuning <small>planned</small></span>
|
|
<span class="cookbook-lifecycle__stage">Training <small>planned</small></span>
|
|
<span class="cookbook-lifecycle__stage">Evaluation <small>planned</small></span>
|
|
<span class="cookbook-lifecycle__stage">Optimization <small>planned</small></span>
|
|
<span class="cookbook-lifecycle__stage">Deployment <small>planned</small></span>
|
|
</div>
|
|
</header>
|
|
|
|
<section class="cookbook-builder" id="recipe-builder" aria-labelledby="builder-heading">
|
|
<div class="cookbook-builder__intro">
|
|
<h2 id="builder-heading">Pick a recipe and runtime</h2>
|
|
<p>Choose the result you want, then use a maintained CUDA or native MLX path.</p>
|
|
</div>
|
|
|
|
<div class="cookbook-builder__layout">
|
|
<div class="cookbook-controls">
|
|
<div class="cookbook-selection-row">
|
|
<div class="cookbook-selection-row__label">
|
|
<strong>Recipe</strong>
|
|
<span>Task and checkpoint</span>
|
|
</div>
|
|
<div class="cookbook-option-grid cookbook-option-grid--models" data-cookbook-model-options role="group" aria-label="Recipe">
|
|
<button type="button" disabled>Loading Wan recipes...</button>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="cookbook-selection-row">
|
|
<div class="cookbook-selection-row__label">
|
|
<strong>Runtime</strong>
|
|
<span>Maintained paths only</span>
|
|
</div>
|
|
<div class="cookbook-option-grid cookbook-option-grid--hardware" data-cookbook-hardware-options role="group" aria-label="Runtime">
|
|
<button type="button" disabled>Loading runtimes...</button>
|
|
</div>
|
|
</div>
|
|
|
|
<p class="cookbook-selection-description" data-cookbook-description>Loading recipe details...</p>
|
|
<p class="cookbook-hardware-note">Exact device and memory details appear only when a recorded run supports them.</p>
|
|
|
|
<div class="cookbook-hardware-state" data-cookbook-hardware-state role="status" aria-live="polite">
|
|
Reading recipe evidence...
|
|
</div>
|
|
</div>
|
|
|
|
<article class="cookbook-result">
|
|
<div class="cookbook-result__header">
|
|
<h3 data-cookbook-label>Loading...</h3>
|
|
<div class="cookbook-result__badges">
|
|
<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>
|
|
</div>
|
|
</div>
|
|
|
|
<dl class="cookbook-result__facts">
|
|
<div><dt>Model</dt><dd data-cookbook-model>Loading...</dd></div>
|
|
<div><dt>Workload</dt><dd data-cookbook-task>Loading...</dd></div>
|
|
<div><dt>Hardware</dt><dd data-cookbook-gpus>Loading...</dd></div>
|
|
<div><dt>Expected output</dt><dd data-cookbook-artifact>Loading...</dd></div>
|
|
</dl>
|
|
|
|
<div class="cookbook-command">
|
|
<div class="cookbook-command__bar">
|
|
<span>Terminal</span>
|
|
</div>
|
|
<pre><code class="language-bash" data-cookbook-command>Loading...</code></pre>
|
|
</div>
|
|
|
|
<div class="cookbook-result__footer">
|
|
<a data-cookbook-source href="../../inference/examples/basic/">Open example source</a>
|
|
<a data-cookbook-model-link href="https://huggingface.co/Wan-AI">View model card</a>
|
|
</div>
|
|
<p class="cookbook-picker__status" role="status" aria-live="polite" data-cookbook-status></p>
|
|
</article>
|
|
</div>
|
|
|
|
<noscript>
|
|
<div class="cookbook-noscript">
|
|
JavaScript is needed for the guided selector. You can still browse the
|
|
<a href="../../inference/examples/examples_inference_index/">maintained inference examples</a>.
|
|
</div>
|
|
</noscript>
|
|
</section>
|
|
</div>
|
|
|
|
## 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.
|