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Overview

Build AI media generation pipelines that handle unpredictable API latencies and long-running operations. Generate images, videos, audio, and multi-modal content with automatic retries, progress tracking, and no timeout limits.

Benefits of using Trigger.dev for AI media generation workflows

Pay only for active compute, not AI inference time: Checkpoint-resume pauses during AI API calls. Generate content that takes minutes or hours without paying for idle inference time. No timeout limits for long generations: Handle generations that take minutes or hours without execution limits. Perfect for high-quality video synthesis and complex multi-modal workflows. Human approval gates for brand safety: Add review steps before publishing AI-generated content. Pause workflows for human approval using waitpoint tokens.

Production use cases

Example workflow patterns

  • AI content with approval
  • AI image generation
  • Batch image generation
  • Multi-step image enhancement
Supervisor pattern with approval gate. Generates AI content, pauses execution with wait.forToken to allow human review, applies feedback if needed, publishes approved content.