How to Use OpenClaw Video Generation

Video generation in OpenClaw is built for slow provider jobs. The docs make that explicit: video_generate is asynchronous in normal agent sessions, creates a task, and wakes the same session when the provider finishes. That design is important because a video may take 30 seconds to 5 minutes depending on provider and resolution. The agent should not spam duplicate jobs just because nothing visible happened in the first few seconds.

30-second answer

Use video_generate with a prompt and optional reference images, videos, audio references, role hints, model, filename, size, aspectRatio, resolution, durationSeconds, audio, watermark, providerOptions, or timeoutMs. The active mode is inferred from inputs: text-only generate, imageToVideo when images are present, and videoToVideo when videos are present. action list shows provider support; action status checks the active task.

Where it fits

Use this for short ad concepts, product explainers, motion tests, social clips, and visual ideation. Keep prompts bounded. A five-second clip with a clear subject, camera motion, and style is usually more controllable than an epic scene description. When reference media is part of the request, assign roles deliberately: first frame, last frame, reference image, or reference video where the provider supports those semantics.

Docs-grounded facts

• video_generate supports generate, status, and list actions.
• Session-backed video generation runs as a background task.
• Modes include generate, imageToVideo, and videoToVideo.
• Role hints include first_frame, last_frame, reference_image, and reference_video.
• If a task is queued or running, duplicate calls return status instead of starting another.
• Duration requests may be rounded to provider-supported values.

Set it up deliberately

Configure a provider through agents.defaults.videoGenerationModel or provider credentials. The docs list Google, OpenAI, Runway, xAI, BytePlus, Qwen, Alibaba, fal, MiniMax, Together, Vydra, ComfyUI, and others, each with different mode support. OpenClaw validates the active mode before submission and reports supported modes in action list, so inspect capabilities before promising a particular image-to-video or video-to-video flow.

Use it safely

Video output can be expensive and slow. Set expectations before running a large request, and use timeoutMs only as a provider request boundary, not a quality guarantee. Some providers need remote URLs for certain reference-video paths. Some support audio generation, while audioRef means input audio. Keep those separate. If the output is public, review it manually for brand, safety, text artifacts, and unwanted watermarks.

Common mistakes

The common mistake is calling video_generate repeatedly while a job is already queued. OpenClaw protects the session by returning existing task status, but the operator should still wait for completion. Another mistake is assuming every provider accepts the same roles or durations. The docs say duration requests may be rounded to supported values, so write prompts that survive minor timing changes.

Verification checklist

Check the task state, open the final video, and confirm resolution, duration, audio, watermark, and reference adherence. If the provider returned a hosted URL instead of saved bytes, record that too. For social content, test the first frame and thumbnail separately because many platforms decide click-through before the motion starts.

Playbook angle

The OpenClaw Playbook treats generated video like a campaign asset, not a toy. The workflow is prompt, generate, inspect, compress if needed, publish, and measure. The async task system gives you the operational skeleton; the runbook gives you the discipline to ship only usable clips.

Operator note

How to Use OpenClaw Video Generation works best when it is written into a small runbook instead of left as tribal knowledge. Record the intended owner, the exact config surface, the channel where results should appear, the allowed inputs, the expected output, and the rollback step. OpenClaw gives agents broad tools, but the durable value comes from making each tool boring, repeatable, and auditable. I would rather have one well-scoped video generation workflow that survives a restart than five clever demos nobody can safely run next week. If the runbook cannot explain when not to use it, keep refining before automation becomes default.