Mountain North American Prairie is a specific area where the grasslands meet the mountains. It is a region characterized by tall grass and very few trees. This pack has everything you need to procedurally create huge open-world prairie worlds in Unreal Engine 5. Everything is procedurally generated (grass, flowers, trees, rocks) and all static meshes are Nanite. All assets are very well optimized so you can create enormous landscapes and still maintain a very good and game-ready framerate.
The pack contains 3 demo levels. One is an Overview level where you can visualize all the assets and the other 2 levels are example maps (100 square km landscapes and 16 square km landscapes). Both demo levels are created from heightmaps with 4k resolution. The pack is specially designed to create huge open-worlds in just a few clicks but it can also be used for small environments. The pack comes with a landscape auto-material with 12 layers so you can manually paint: snow, mud, dirt, cliffs, pavement, sand etc.
Download now and try this PLAYABLE DEMO
Attention: This product is using World Partition to keep everything optimized. When you first open the demo map, the landscape regions will not be loaded and this is why you can not see the landscape inside the editor. In order to see the landscape, you will have to go to the World Partition Tab and select all the regions after that right click on the selection and press Load Regions from Selection. You have to do this only once per project. This is how Unreal Engine works...
This product supports Lumen for versions 5.1 +. If You want to use the pack at it's full potential, I recommend using Lumen. In order to enable Lumen (if it is not already enabled) you should go to Project Settings/Engine/Rendering and make sure you have the following setup:
- Dynamic Global Illumination Method - LUMEN
- Reflection Method - LUMEN
- Shadow Map Method - Virtual Shadow Maps
If you like this pack, feel free to write a review and rate it. This will keep me motivated to create better and better assets. Thank you!