Auto-post trending X tweets with Gemini AI images, FLUX and Buffer

This n8n workflow automatically scrapes X (Twitter) trending topics for any country, generates a pidgin-style tweet and a matching AI image for each trend, then schedules and posts them to X via Buffer — all on a custom schedule. Perfect for social media managers, content creators, and personal brands who want to stay relevant on X without manually tracking trends or writing posts every day. Good to know - The workflow runs 3 times daily by default (8:30am, 12:30pm, 4:30pm). You can adjust the schedule in the Schedule Trigger node to suit your timezone. - Trends already used in the last 24 hours are automatically skipped to avoid repetition. - If the primary Apify scraper fails, the workflow falls back to Gemini AI search to fetch trends — so it rarely runs dry. - FLUX.1-schnell on HuggingFace is a free-tier model but has rate limits. For higher volume, consider upgrading your HuggingFace plan. How it works - A Schedule Trigger fires 3 times a day and kicks off the Apify Twitter Trending Topics Scraper for your chosen country (default: Nigeria). - If Apify fails or returns no data, Gemini AI searches for current trending topics as a fallback. - Already-used trends are fetched from an n8n Data Table and filtered out so the same trend is never posted twice within 24 hours. - 2 unused trends are randomly picked and passed into a loop. - For each trend, Gemini 2.5 Flash generates a short, engaging pidgin-English tweet (≤275 characters) grounded in live context via Google Search. - FLUX.1-schnell on HuggingFace generates a photorealistic image matching the trend topic. - The image is uploaded to Dropbox and a temporary public URL is extracted. - The tweet and image are posted to X via Buffer MCP on automatic scheduling. - The used trend is saved back to the Data Table with a timestamp to prevent reuse. How to use - Change the country field in both Apify nodes to scrape trends for your own country. - Edit the tweet prompt in the Generate Tweet with Gemini node to match your personal tone, language, or brand voice. - Edit the FLUX image prompt in the Generate Image with FLUX node to change the visual style of generated images. - Run the Create a data table node once manually to set up the trend history table, then disable it. - Replace YOURBUFFERCHANNELID in the Post to X via Buffer node with your actual Buffer channel ID. Requirements - Apify account with the Twitter Trending Topics Scraper actor - Google Gemini API credential - HuggingFace account with an API token (HTTP Bearer Token credential) - Dropbox account (OAuth2) - Buffer account connected to your X profile Customising this workflow - Swap Nigeria for any country supported by the Apify actor to target a different audience. - Replace the pidgin-English tweet prompt with any language or tone — formal English, Yoruba slang, Spanish, etc. - Replace Dropbox with Google Drive or S3 if you prefer a different image storage provider. - Increase the number of picked trends from 2 to more in the Pick Trend node to post more tweets per run. --- 👋 Need help or want to customize this workflow? 📺 Contact: Fiverr 📩 Consultation: Book Appointment