Multi-Modal Pipeline

Multi-Modal Pipeline lets you define a sequence of AI generation steps that execute automatically, with each step's output feeding into the next. For example: generate an image from a prompt, convert it to a video clip, synthesize a voiceover, and combine them -- all in one API call. The pipeline engine manages model orchestration, intermediate file storage, and error handling. You define the steps; the system handles the execution. Developers building content creation platforms, marketing automation tools, and AI-powered creative suites use pipelines to offer complex generation workflows through a simple interface. A marketing platform can generate a complete social media video (image + motion + voice + music) from a single brief. A children's app can produce illustrated stories with narration. No competitor currently offers a unified multi-modal pipeline API that spans image, video, voice, and music generation. Design pipelines with the minimum number of steps needed for your output. Each step adds latency and cost. Use the cost estimate endpoint on your pipeline definition to see the total price before running it. Include error handling configuration for each step -- specify whether a step failure should abort the pipeline or use a fallback. All intermediate outputs are accessible via their own URLs for debugging and reuse.