Image to Video AI HTTP API Workflow for Cinematic Clips

Turn a public image URL into a cinematic short video—using an Image to Video AI HTTP API inside n8n

This n8n workflow manually triggers an Image to Video AI HTTP API request, generates a video from a publicly accessible image URL, then automatically waits and polls until the final generated video URL is ready.

What this workflow does

• Manual start: The workflow runs when you start it manually via the Manual Trigger.
• Configures generation inputs: It sets parameters such as imageUrl, motion prompt, model, duration, resolution, and aspect ratio.
• Creates an async generation job: The workflow calls the Image to Video AI HTTP API to start the image-to-video task and returns a `task ID`.
• Waits for processing: It pauses for 60 seconds to allow generation time.
• Polls for completion: It sends another HTTP request with the task ID to fetch status, and once complete, retrieves the final video URL.

Use cases

• Automation engineers running batch-style creative tests: swap in different imageUrl and prompts and collect resulting clip URLs.
• SaaS operators prototyping “image to cinematic clip” features using an external HTTP API workflow.
• Marketing teams producing short motion assets by pairing product/still images with a consistent motion prompt.

Technical details

• Nodes / tech stack: set, wait, sticky note, http request, manual trigger.
• Authentication: Create an n8n HTTP Header Auth credential that sends Authorization: Bearer YOUR_API_KEY, then select it in both Image to Video AI HTTP Request steps.
• Requirements: Replace the sample imageUrl and prompt, and ensure the image URL is publicly accessible.
• Tuning: Adjust duration, resolution, aspect ratio, and the wait time if generation often exceeds 60 seconds.