hao-ai-lab-FastVideo/docs/cookbook/kandinsky5.md

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Kandinsky 5 recipes

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Maintained family · Inference

Kandinsky 5 inference recipes

Kandinsky 5.0 from the Kandinsky Lab covers text-to-video and image-to-video in Lite and Pro variants, including distilled checkpoints for faster sampling.

Inference live Distillation planned Fine-tuning planned Training planned Evaluation planned Optimization planned Deployment planned

Builder Setup Troubleshooting Evidence

Pick a recipe and runtime

Start with the result you want, then choose one of the runtimes FastVideo actually maintains for it.

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        <span>Task and checkpoint</span>
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        <strong>Runtime</strong>
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    <p class="cookbook-hardware-note">Exact device and memory details appear only when a recorded run supports them.</p>

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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>
      <a data-cookbook-model-link href="https://huggingface.co/kandinskylab">View model card</a>
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    JavaScript is needed for the guided selector. You can still browse the
    <a href="../../inference/examples/examples_inference_index/">maintained inference examples</a>.
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Setup

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

• Alternative Lite/Pro checkpoints are listed inline in the maintained examples; swap the model string only after checking its Hugging Face card.
• Gated or missing checkpoints: run huggingface-cli login and confirm you accepted the model's license on Hugging Face.

Evidence status

Both recipes map to checked-in FastVideo examples and recorded single-GPU B200 runs. The image-to-video run also records 10,365.89 MB peak GPU memory. These measurements describe the recorded runs; they are not minimum hardware requirements.