Descriptions:
Youri van Hofwegen demonstrates how to use OpenArt’s recently updated character feature to create and manage fully consistent AI characters across multiple scenes, outfits, poses, and environments. The video addresses one of the most persistent pain points in AI image generation — having to re-upload reference images and re-explain character details with every new generation — and shows how OpenArt’s new system eliminates that friction.
The workflow starts by creating a character either from an uploaded image or a text description, using models like Nano Banana Pro or Seedream. OpenArt then trains on four auto-generated reference views (front, close-up, full body, back) to lock in the character’s appearance from every angle. Once built, characters are tagged by name in prompts, allowing multiple characters to be placed in shared scenes without reintroducing any reference images. The video demonstrates this with two characters — Robin and Ila — placed together at a ski resort wearing specified outfits, generated in 4K in seconds.
A standout feature covered is the built-in 3D pose editor, which lets creators sculpt custom body positions without needing to source reference photos. Combined with the ability to switch between photorealistic, anime, Pixar, and other style presets, the updated system gives creators granular control over character output that was previously unavailable in accessible AI tools. The video then bridges into animating the characters using AI video generation.
📺 Source: Youri van Hofwegen · Published January 10, 2026
🏷️ Format: Tutorial Demo
