Use case

Image Pipelines

Wire an image through generation, resize, and vision tagging in one flow. Every step visible on the canvas, every output routed where it belongs.

Who this is for

E-commerce ops, media libraries, creative ops teams

The problem

Most image work is a chain: generate or upload, resize for three platforms, tag for the DAM, export. Each step lives in a different tool, and the handoffs eat more time than the work itself.

The flow

Build the full pipeline on one canvas. File Input accepts the source image. The Image node generates variants via Gemini or OpenAI models. Image Resize crops each variant to platform specs (1080x1080, 1200x628, 9:16). The Gemini vision node reads each output and writes captions, alt text, and taxonomy tags as structured JSON. Output collects every sized image with its metadata.

The outcome

Sized, tagged images from a single source file. One flow replaces three tools and the copy-paste between them.

Nodes used

File InputImageImage ResizeImage (Gemini vision)Output

More use cases

All use cases

Product Video AdsUpload a product photo, get back a video ad with generated copy and voiceover. One webhook call replaces your entire creative production queue.Narrated Explainer VideosGenerate a script, a hero scene visual, an ≤8-second clip, and full-length narration from one topic prompt on the canvas.Social Media Content PipelinePOST a creative brief via webhook, get back a generated hero image for the campaign. Multi-platform sizing is on the roadmap.

Generate your first video ad in 3 minutes.

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