Descriptions:
This tutorial by Youri van Hofwegen walks through a face-swapping workflow that avoids the lighting mismatches and uncanny results typical of traditional overlay-based tools. The core technique uses Arcads combined with Cling 2.6 motion control: rather than pasting a new face on top of existing footage, Cling rebuilds the entire video from scratch using the original clip only as a motion reference, while the AI-generated character image defines who appears on screen.
The workflow requires two inputs — a reference video (providing movement, timing, and body language) and an AI-generated character image created inside Arcads using the Nano Banana Pro model. Van Hofwegen shows how to prompt the image generator to match posture, angle, and background from the reference video before feeding both into Cling’s motion control workspace. The tutorial also covers a creative extension: replacing a character in an iconic movie screenshot (in this case, a scene from The Wolf of Wall Street) and then animating it with personal movement data to produce footage that looks like it was filmed on the original set.
Post-production steps — captions, background removal, remixing, thumbnail extraction — are all handled inside Arcads without switching platforms. For marketers, synthetic media creators, and anyone experimenting with AI-generated video identity, this video outlines a specific and reproducible technique that directly addresses the most common failure modes of conventional face-swap approaches.
📺 Source: Youri van Hofwegen · Published February 19, 2026
🏷️ Format: Tutorial Demo
