Best Practices

Best Practices for Video to Video Generation

Efficient API Usage:

When calling the video to video API, store the returned img_uuid for subsequent requests.

Implement a polling mechanism to check the status of your video generation.

Optimal Polling Strategy:

Set your polling interval to 5 seconds between each request to the details API.

This balance helps to get timely updates without overwhelming the server.

Handle Long-Running Processes:

Be prepared for potentially long processing times, especially for complex video transformations.

Implement appropriate timeout handling and user feedback in your application.

Secure Storage of Results:

When you receive the final video URL (valid for 24 hours), download the video promptly.

Store the downloaded video on your own secure server for long-term access and to avoid link expiration issues.

Error Handling:

Implement robust error handling for all API calls.

Have fallback strategies for cases where video generation fails or takes longer than expected.

Resource Management:

Keep track of your API usage to stay within your plan limits.

Implement rate limiting on your end to prevent accidental overuse of the API.

User Experience:

Provide clear feedback to your users about the status of their video generation process.

Consider implementing a notification system for when videos are ready.

Caching Strategy:

Cache frequently used or popular video transformations to reduce API calls and improve response times.

Security:

Never expose your API key in client-side code.

Use server-side requests to interact with the GoEnhanceAI API.

The client requests a video transformation from your server.

Your server makes a POST request to the GoEnhanceAI API to initiate the video generation.

The API returns an img_uuid, which your server uses for subsequent requests.

Your server acknowledges the client's request.

Your server then enters a polling loop, checking the status every 5 seconds:

If the status is "completed", it retrieves the video URL, downloads and stores the video, then notifies the client.

If the status is "failed", it notifies the client of the failure.

Finally, when the client requests the processed video, your server serves it from local storage.