chore: import upstream snapshot with attribution
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---
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title: "AI media generation workflows"
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sidebarTitle: "AI media generation"
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description: "Learn how to use Trigger.dev for AI media generation including image creation, video synthesis, audio generation, and multi-modal content workflows"
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---
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import UseCasesCards from "/snippets/use-cases-cards.mdx";
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## Overview
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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.
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## Featured examples
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<CardGroup cols={3}>
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<Card
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title="Product image generator"
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icon="book"
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href="/guides/example-projects/product-image-generator"
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>
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Transform product photos into professional marketing images using Replicate.
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</Card>
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<Card
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title="Meme generator (human-in-the-loop)"
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icon="book"
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href="/guides/example-projects/meme-generator-human-in-the-loop"
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>
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Generate memes with DALL·E 3 and add human approval steps.
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</Card>
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<Card
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title="Vercel AI SDK image generation"
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icon="book"
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href="/guides/example-projects/vercel-ai-sdk-image-generator"
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>
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Generate images from text prompts using the Vercel AI SDK.
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</Card>
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</CardGroup>
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## Benefits of using Trigger.dev for AI media generation workflows
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**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.
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**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.
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**Human approval gates for brand safety:** Add review steps before publishing AI-generated content. Pause workflows for human approval using waitpoint tokens.
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## Production use cases
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<CardGroup cols={1}>
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<Card title="Icon customer story" href="https://trigger.dev/customers/icon-customer-story">
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Read how Icon uses Trigger.dev to process and generate thousands of videos per month for their AI-driven video creation platform.
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</Card>
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<Card title="Papermark customer story" href="https://trigger.dev/customers/papermark-customer-story">
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Read how Papermark process thousands of documents per month using Trigger.dev.
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</Card>
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</CardGroup>
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## Example workflow patterns
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<Tabs>
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<Tab title="AI content with approval">
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**Supervisor pattern with approval gate**. Generates AI content, pauses execution with wait.forToken to allow human review, applies feedback if needed, publishes approved content.
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<div align="center">
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```mermaid
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graph TB
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A[generateContent] --> B[createWithAI]
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B --> C[wait.forToken approval]
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C --> D{Approved?}
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D -->|Yes| E[publishContent]
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D -->|Needs revision| F[applyFeedback]
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F --> B
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```
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</div>
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</Tab>
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<Tab title="AI image generation">
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Simple AI image generation. Receives prompt and parameters, calls OpenAI DALL·E 3, post-processes result, uploads to storage.
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<div align="center">
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```mermaid
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graph TB
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A[generateImage] --> B[optimizeImage]
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B --> C[uploadToStorage]
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C --> D[updateDatabase]
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```
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</div>
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</Tab>
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<Tab title="Batch image generation">
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**Coordinator pattern with rate limiting**. Receives batch of generation requests, coordinates parallel processing with configurable concurrency to respect API rate limits, validates outputs, stores results.
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<div align="center">
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```mermaid
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graph TB
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A[processBatch] --> B[coordinateGeneration]
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B --> C[batchTriggerAndWait]
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C --> D[generateImage1]
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C --> E[generateImage2]
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C --> F[generateImageN]
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D --> G[validateResults]
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E --> G
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F --> G
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G --> H[storeResults]
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H --> I[notifyCompletion]
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```
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</div>
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</Tab>
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<Tab title="Multi-step image enhancement">
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**Coordinator pattern with sequential processing**. Generates initial content with AI, applies style transfer or enhancement, upscales resolution, optimizes and compresses for delivery.
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<div align="center">
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```mermaid
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graph TB
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A[processCreative] --> B[generateWithAI]
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B --> C[applyStyleTransfer]
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C --> D[upscaleResolution]
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D --> E[optimizeAndCompress]
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E --> F[uploadToStorage]
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```
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</div>
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</Tab>
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</Tabs>
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<UseCasesCards />
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