LLM Automation and Image Generation

News-to-Social Pipeline

Every story wants its own social card, and making them by hand does not keep up with a news feed.

WORKIntelligenceNODEVEX PRODUCTNEWS PIPELINE
The workflow: six feeds merged and scored, headlines rewritten by a local model, and a social image rendered per story
News-to-Social Pipeline, screenshot 2 of 2
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The workflow: six feeds merged and scored, headlines rewritten by a local model, and a social image rendered per story

N8NOLLAMACOMFYUIFLUXDOCKER

Problem

Every story wants its own social card, with a headline that works at a glance and an image that suits it. Making them by hand does not keep up with a news feed.

Approach

An n8n workflow merges the RSS feeds, scores the stories, and hands each headline to a local language model to tighten. An image service then renders the card from HTML templates: the article's own image when there is one, a background generated with FLUX through ComfyUI when there is not, and a category gradient as the last resort. Colour detection reads each background and picks text and overlay colours that stay legible on it.

Result

Feed-to-card automation with three image fallbacks and a template system that new layouts drop into, running on one GPU machine so no article or prompt leaves it. A Nodevex product.

Stack

n8n for orchestration, Ollama for the headline model, ComfyUI and FLUX for generated backgrounds, a Node.js image service, and Docker Compose to run it as one stack.

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