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Video generation and asynchronous API guide

Direct answerDesign video generation as an asynchronous job system with idempotent submit, persisted IDs, bounded polling or verified callbacks, terminal handling, output transfer, and moderation.

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Why video is asynchronous

Video generation takes longer and produces larger outputs than text, so official APIs generally create a task before status or callback retrieval. HTTP 202 or a task ID means accepted, not successful; represent queued, running, succeeded, failed, cancelled, and expired states.

Reliable workflow

Create an idempotency key and persist the provider task ID. Poll with exponential backoff, a deadline, and concurrency cap; verify callback signatures and timestamps and update state idempotently. Copy temporary result URLs into controlled object storage immediately.

Select an input mode

Text-to-video creates a shot from description, image-to-video retains composition, reference-to-video emphasizes identity or style, and first/last frames control transitions. Audio, duration, resolution, and multi-reference support are endpoint-specific.

Quality acceptance

Beyond visual quality, evaluate subject consistency, motion continuity, physics, camera, typography, audio sync, and prompt adherence. Use storyboard-level samples and track failures and moderation blocks.

Cost and safety

Bound input files, duration, retries, and concurrency so failed tasks cannot create unbounded cost. Verify likeness, music and asset rights, content policy, retention, and commercial-use terms.

Use cases

  • Text-to-video
  • Image-to-video
  • Creative production

API protocols

  • /v1/videos

FAQ

Does HTTP 202 or a task_id mean a video was generated successfully?

No. It only means the job was accepted. Persist the task ID and model queued, running, succeeded, failed, cancelled, and expired states; deliver only after a successful terminal state and media validation.

Should video jobs use polling or callbacks, and how should result URLs be stored?

Either can work, but polling needs exponential backoff, a deadline, and a concurrency cap, while callbacks need signature and timestamp checks plus idempotent handling. Result URLs are often temporary, so stream successful media immediately into your own object storage.

How do I prevent failed video generation from creating excessive cost and latency?

Cap duration, resolution, input size, concurrency, and retry count, and use idempotency keys to prevent duplicate creation. Do not retry parameter or moderation failures blindly, and set a total job deadline and budget.

How should a video model be evaluated—is sharpness enough?

No. Use fixed storyboards to check subject consistency, motion continuity, physics, camera work, text, audio sync, and prompt adherence, while recording failures and moderation blocks. Verify rights for people, music, and reference assets.

  • ViduProvides text-, image-, and reference-driven video generation alongside image and sound capabilities.
  • Kuaishou Kling AIKuaishou Kling Open Platform provides image and video generation APIs for creative content production.
  • Kling video modelsKling is the Kling Open Platform image and video family with asynchronous jobs; current models, duration, resolution, and reference controls must be verified in the live official documentation.
  • ByteDance JimengDirect Jimeng access uses visual.volcengineapi.com and Volcengine signing, while this gateway's /v1/videos uses its own Bearer token. Persist task IDs, handle terminal states, and copy temporary media promptly.
  • DoubaoDoubao models in Volcengine Ark cover text, reasoning, coding, agents, and multimodality. Prebuilt models normally use a Model ID in model; custom deployments use an Endpoint ID.

Official sources

  1. Vidu API Official
  2. Kling Platform Official