What to do if video generation errors or fails?

Answer

Short answer:

First, verify that your internet connection is stable and that your inputs does not contain anything that could trigger content moderation filters. If the issue persists after refreshing your browser, contact Rendair support for assistance.

Overview

Video generation in Rendair AI is designed to be a fast, queue-free process that converts still architectural images into short, 5-second animations. Because this tool operates without a queue, results are typically immediate. When a generation fails or returns an error, it is usually due to a specific technical constraint regarding the input file or local connectivity rather than a platform-wide outage.

Troubleshooting steps

If you encounter an error message or the process hangs indefinitely, follow these steps to resolve the issue.

1. Check your internet connection

Rendair AI is entirely web-based and does not support offline usage. A momentary drop in connectivity during the upload or generation phase can cause the process to fail. Ensure your connection is stable before retrying.

2. Verify file size and format

The maximum upload size for base images is 10MB. While the platform supports various formats (JPEG, PNG, WEBP, TIFF, HEIC, AVIF), larger files may time out or fail to process during the video synthesis step. If your file is near the limit, try compressing it or converting it to a standard JPEG.

3. Refresh the browser

Browser caching issues can sometimes interfere with the interface. A hard refresh of the page often clears minor glitches.

4. Update inputs

Try with a different prompt or base images to make sure there is nothing that might trigger content moderation filters.

5. Contact support

If the error persists, reach out to the support team.

• Standard plans: Support can assist by reviewing your input files and clarifying the intended outcome.

• Pro and Team Pro: These plans include priority support. You can book a private session to resolve complex workflow issues or technical errors.

Common causes for failure

Understanding why errors occur can help you avoid them in future workflows.

• Oversized inputs: Uploading raw exports that exceed 16MB.

• Unsupported file types: While many formats are supported, corrupted files or uneditable PDFs will prevent generation.

• Browser interruptions: Closing the tab or losing connection while the request is processing.

Inputs and outputs

Ensuring your files meet the platform standards is the best way to prevent errors.

Inputs

• Max file size: 16MB.

• Formats: JPEG, JPG, PNG, WEBP, TIFF, HEIC, AVIF.

• Note: PDF files should be converted to JPG before being used for video generation to ensure stability.

Outputs

• Duration: Approximately 5 seconds.

• Resolution: Dependent on the input image and selected tool.

Limitations or notes

• No queue system: Unlike high-resolution rendering which may have a queue on lower-tier plans, video generation happens immediately. If it is taking a long time, it is likely a connection error, not a queue delay.

• Credit usage: Video actions consume credits. If a generation fails due to a system error, check your credit balance to ensure it was not deducted. Credits do not expire as long as you have an active subscription.

• Content limitations: If the AI detects content that violates safety guidelines, the generation may be blocked.