Skip to main content
Generates a video from a text prompt, optionally grounded in reference images. Speech is native: describe the person and write their lines in the prompt (e.g. She says: "...") and the model generates matching audio and lip movement. Optionally chains captioning onto the finished video in the same run.

Arguments

Any run that attaches reference_images must set owns_references: true — you attest that you own, or have the rights to use, the likenesses in the uploaded images. This applies to make_video and make_image alike.
  • References attached without owns_references: true400, no credits debited.
  • Accepted attestations are persisted on the run record (flag, timestamp, and the API key that made it) as an audit trail.

enhance_prompt

When true, your prompt is first rewritten by a prompt-writing model trained on what makes these video models perform — hook, framing, delivery — while preserving your intent and any spoken lines. The rewritten prompt is what gets generated; both the original and enhanced prompts are stored on the run (and are full-text searchable via GET /api/v1/generations?q=...). Costs 3 credits extra. When false (the default), your prompt is sent to the model exactly as written.

Example — talking-head with captions

Example — with a reference image

Response

202 with the queued run:
Poll GET /api/v1/runs/{run_id}; on completed, output[0] is the durable MP4 URL. On failed, credits are refunded instantly.