Blender
Our Blender template makes it simple to create content for Hololuminescent Displays using 3D models.
Downloads
Download our template for Blender:
Requirements

Using the template
Once you've downloaded Blender 4.5 and our template file, open the template by either double clicking the file, or use the file menu in Blender itself. When opening the template you'll see the scene below.
Our Blender template has three main components: the camera, the shadow catcher, and the background composite.

Camera
When creating content for HLD systems, the camera should remain static. We've applied a background image to the camera that represents the holographic volume of the HLD display. In general content should be placed as if it's inside this volume. See our Products or Characters pages for more information about how to frame content.
If necessary, you can change the camera's focal length, however this would also require adjusting other portions of the template as well.
Shadow Catcher

The shadow catcher is a plane setup to match the holographic volume of the HLD. The plane does not contribute any color data to the scene and only serves as a means to capture a shadow cast from the main 3D content. The shadow effect is crucial for the 3D effect in the HLD.
Compositor

We use Blender's Compositor feature to composite a solid-colored background onto the scene. By default, this is white, however you can change this to effectively tint the content in the HLD. We recommend keeping the background a solid color or subtle gradient.

Previewing and exporting for HLD playback
Once you’ve exported your video, we recommend opening it in HLD Author.
HLD Author lets you:
Import supported 3D media directly or adjust a video rendered from Blender
Tune framing, model transforms, lighting, shadows, animation, and export-camera motion
Preview your content on a simulated Hololuminescent Display
Export the correct MP4 for the included HLD Demo Media Player, BrightSign, or standard portrait-video playback
This is the easiest way to refine the result and confirm framing, depth, and orientation before deployment.
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