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ADF: Spaceborne Data Analysis Master Pipeline

Azure Data Factory pipeline

Create Deepfake Videos by Swapping Faces with Fal.ai Wan 2.2 and AWS S3

Animate Any Face into a Video with Fal.ai Create stunning deepfake-style videos automatically by swapping a face from an image onto a source video. This workflow provides a powerful, automated pipeline to perform video face-swapping using the Fal.ai API. It's designed to handle the entire asynchronous process: accepting a source video and a target face image, uploading them to cloud storage, initiating the AI job, polling for completion, and retrieving the final, rendered video. | Services Used

ADF: Adventure Works Demo Pipeline

Azure Data Factory pipeline

Generate videos from images with Wan 2.2 I2V A14B AI model

Generate Videos from Images with Wan 2.2 I2V A14B AI Model 🌍 Overview This workflow connects n8n with Replicate’s Wan-Video model to generate video content from an image + prompt. It handles: 🔑 API authentication 📤 Sending a generation request ⏳ Polling until completion 📥 Returning a downloadable video link --- 🟢 Section 1: Start & Authentication 🔗 Nodes: 1️⃣ On clicking 'execute' (Manual Trigger) ▶️ Starts the workflow manually when you click Execute Workflow. 2️⃣ Set API Key 🔑 Stores your

Create a new Google Docs document from a row in Baserow

Every time a new row is created in Baserow, a new document will be instantly created in Google Docs. This template was created by a 3rd party and not tested by Make. For any inquiries about the template, please reach out to the template creator: make_templates_support@baserow.io

Create a short link for each new YouTube video

This template creates a short link in CodeQR whenever a new YouTube video is published, making it easy to share and track video performance. Apps used: YouTube, CodeQR This template was created by CodeQR. Learn more at https://codeqr.io

Modular & customizable AI-powered email routing: text classifier for eCommerce

How It Works 1. Form Submission: - The workflow starts with the On form submission node, which triggers when a user submits a contact form. The form collects the user's name, email, and message. 2. Text Classification: - The Text Classifier node uses an AI model (GPT-4) to classify the submitted message into one of the predefined categories: - Request Quote: For quote requests. - Product info: For general product inquiries. - General problem: For issues or problems related to products. - O

Monitor AI research papers with Gemini-powered filtering and email summaries

This n8n workflow template implements an intelligent research paper monitoring system that automatically tracks new publications in ArXiv's Artificial Intelligence category, filters them for relevance using LLM-based analysis, generates structured summaries, and delivers a formatted email digest. The system uses a three-stage pipeline architecture: 1. automated paper retrieval from ArXiv's API 2. AI-powered relevance filtering and analysis via Google Gemini 3. Intelligent summarization with HTML