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AtlasRepo

Building a Repeatable Text-to-Video Workflow with RunwayAI

Description and use

An automated pipeline for generating videos from text and images using RunwayAI, enabling rapid content creation for social media, advertising, and visualization.

Problem

Creators and developers need a straightforward, repeatable process to generate videos from text or images without manual intervention.

Outcome

The workflow enables teams to produce social clips, advertising concepts, animated product photography, storyboards, and creative previsualization at scale with minimal manual effort.

Workflow

  • 1. Craft a structured prompt describing subject, action, setting, camera movement, lighting, and mood.
  • 2. If a visual reference exists, start with a reference image and use the image-to-video workflow to animate it.
  • 3. Select supported duration, aspect ratio, and output quality for the target channel.
  • 4. Submit the generation request via API and poll the task status (queued, running, succeeded, failed) instead of blocking.
  • 5. Once succeeded, preview the result online, download the video, and retain generation history for future iterations.

Evidence

RunwayAI also publishes API resources covering authentication, generation requests, task polling, queues, history, pricing, and error handling.

Source

  • Record date: 2026-09-19T20:30:16.679Z