AI Video Generation Integration
AI Video Generation Integration builds a full video-generation flow in your product: submit jobs, poll status, handle failures, persist results, and play them in the UI. It fits marketing assets, product demos, content creation, and text-to-video or image-to-video scenarios.What it can do
- Support text-to-video and image-to-video with reference images.
- Create and track async jobs while avoiding duplicate submits and processing.
- Handle model-service errors and quota limits, with retries.
- Copy results into project file storage for durable playback and sharing links.
- Show queued, generating, success, and failed states in the UI.
Video generation, cloud computing, and file storage are prepared by superun as needed. You usually do not need to manage these dependencies yourself.
What to prepare
Enable in superun
1
Click Use
Open AI Video Generation Integration in the Skill Library and click Use in the top right.
2
Define parameters
Specify text/image mode, model, duration, aspect ratio, and whether to save history.
3
Verify generation and playback
Submit a test job, confirm status display, then play the persisted video from project storage.
Limits
- Generation is async and usually takes about 30 seconds to several minutes. Show clear UI states so users do not resubmit.
- Image-to-video references must be publicly reachable HTTPS URLs; upload local files to storage first.
- Model-returned video URLs are usually temporary and should not be stored as long-term history; copy them into project file storage before playback or sharing.
- Enabling or disabling this skill may change project code and consume compute credits.