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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

Pick a recipe and runtime

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

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
Model
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Workload
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Source configuration
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Expected output
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Terminal 
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Open example source View model card

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.