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inference

inference

Route Helios video generation, demo, and runtime inference workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: inference description: "Route Helios video generation, demo, and runtime inference workflows." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

Inference

Use this sub-skill when the user wants to generate a video with Helios.

Typical triggers

  • "generate a video"
  • "run text-to-video"
  • "turn this image into a video"
  • "animate this clip"
  • "use the distilled checkpoint"
  • "try the low-VRAM or multi-GPU path"
  • "launch the demo"

What this sub-skill covers

  • Text-to-video, image-to-video, and video-to-video generation.
  • Base, Mid, and Distilled checkpoint selection.
  • Prompt-only and prompt-plus-image/video generation.
  • Multi-GPU context parallelism.
  • Low-VRAM offload and common runtime toggles.
  • The demo-style workflow, with the caveat that the local UI module is not a lazy import and can do expensive work at startup.

What it does not own

  • Dataset metadata preparation belongs in data-preparation.
  • Stage configuration, training launches, and checkpoint merging belong in training.
  • Benchmark/evaluation metrics are not a primary route in this generated skill.

Read next

  • references/workflows.md for end-to-end generation choices and run flow.
  • references/cli-reference.md for the bundled inference helper and the key runtime flags it exposes.
  • references/troubleshooting.md for GPU/backend, import, and input-shape failures.
  • scripts/run_helios_inference.py for the bundled inference helper.

Working rule

Prefer the bundled helper and the compatibility check before relying on a raw source checkout or guessing at the backend.

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