Unreal Canvas is a shared workspace where people and agents create and refine content using Unreal Engine and other connected tools. It leverages your AI agents to support you through your development and iteration processes by helping you to develop the look of your project and assets.
Unreal Canvas brings references, generated results, notes, and reusable processes together on a canvas. Explore the look of a project, compare alternatives, and build repeatable workflows for images, video, and 3D content. Start with a prompt, reference media, or an Unreal scene; the selected model determines which inputs you need.
The system refines your established project assets with generative content. Its canvas runs in an editor tab and works from renders and annotations on your own scene.
It can bring results back into your level as cutouts, meshes, splats, and imported assets.
Requirements and Setup
To use Unreal Canvas, you’ll need the following:
Engine and hardware: UE 5.9 Preview, NVIDIA GPU with at least 8 GB of VRAM.
Plugins: Unreal Canvas Bridge, Unreal Canvas Spatial Annotations, and Model Context Protocol.
Providers: Bring your own keys. Restart the editor after changes.
Model approval: Badges and project policy colors.
Unreal Canvas Overview
Overview of Unreal Canvas and its agentic workflows, processes, and tools.
Getting Started with Unreal Canvas
Enable the Unreal Canvas plugins, add API keys for your AI providers, and run a health check to confirm Unreal Canvas is ready to generate images, video, and 3D models in Unreal Engine 5.9.
