Procedural Environment Generation with Unreal Engine PCG: A Beginner’s Guide

What will you learn in this guide?

Unreal Engine’s Procedural Content Generation Framework (PCG) is used to create procedural content and tools through node-based graphs. Epic Games’ documentation says this approach can be used at different scales, from asset helpers such as buildings and biomes to large virtual worlds. In this beginner’s guide, you’ll learn how to create a PCG graph, understand its core workflow, and inspect the generated results.

A PCG graph shouldn’t be thought of as a single command that adds content directly to a scene. Through a PCG component, the graph processes spatial data it receives using a range of operations. The points generated by these operations can then be used to place assets in the scene. Before you begin, deciding on the intended output and the types of data that will feed into the graph can help you build a clearer node flow.

Requirements

• You’ll need an Unreal Engine project and the editor to work on a PCG graph. The source documentation doesn’t specify a particular Unreal Engine version, so no version recommendation is provided here.

• The Procedural Content Generation Framework plugin must be enabled in the project. Epic Games’ “Working with Plugins” documentation explains how to enable plugins.

• To sample points on static meshes, you’ll also need the Procedural Content Generation Framework Geometry Script Interop plugin. This additional requirement applies to mesh-sampling workflows.

• The sources don’t specify account, cost, licensing plan, or hardware requirements. Rather than making assumptions about these, verify them separately when setting up your project.

Creating your first PCG graph

1. Check the required plugins. Before creating the graph, make sure the core PCG framework is enabled in the project. If you plan to sample points from static meshes, enable the Geometry Script Interop plugin as well. Follow Epic Games’ relevant guide to install plugins.

2. Create a graph asset. Right-click in the Content Drawer or Content Browser, then go to Create Advanced Asset > PCG > PCG Graph. Name the new asset and press Enter. This creates a PCG graph for you to work on.

3. Get to know the graph editor. In the PCG Graph Editor, you can drag nodes from the Node Palette into the viewport or add them from the context menu. Along with the toolbar, node palette, and viewport, the editor includes a Details panel, Debug Tree, and Attributes list. Keeping the flow readable as the graph grows makes it easier to edit and debug later.

4. Set up the node flow. Spatial input from the PCG component in the level provides the starting point for the graph’s operations. Nodes can select, transform, or process this input according to its different properties. The resulting points can then serve as the basis for asset placement. For example, when working on an environment, first identify the spatial data to use, then determine the operations needed to prepare that data and place the results. The source documentation doesn’t provide a specific building rule or ready-made node sequence, so the graph should be designed to suit the project.

5. Use the graph with a PCG component. Assign the graph to a PCG Component in the level and use it to generate content. Changes made to the graph will then appear in real time in the editor viewport. This lets you track how node edits affect the scene. If the expected output doesn’t appear, check the node order, input data, and points generated by the graph.

6. Inspect point data and density visualization. PCG points can contain information such as position and transform in the scene, as well as bounds, color, density, slope, and seed data. You can also add user-defined attributes. Point density is related to the probability that a point exists at a given location. In the debug view, a density of 0 appears black and a density of 1 appears white. This visualization is useful for inspecting gaps or dense areas in a distribution.

Reusable graphs with templates

You can designate a PCG graph as a template for new graphs. First, open the graph and click the Graph Settings button in the toolbar to display its settings in the Details panel. In the Asset Info section, enable Is Template. When creating a new graph, select the graph you want in the template selection window, then click Initialize From Template to continue.

Using a template can reduce the need to recreate a similar starting workflow. Graph settings also include options for filtering node categories and available subgraphs. This lets you restrict which nodes or subgraphs can be selected in a graph. You don’t need to change these settings for your first attempt; it may be easier to adjust them later, once the basic node flow is working.

Common mistakes

• Starting without checking the plugins: The PCG framework must be enabled in the project. The Geometry Script Interop plugin is also required to sample points from static meshes.

• Assuming that creating a graph is the same as generating content: Creating a graph asset alone doesn’t generate content. The graph must be associated with a PCG component in the level and used to generate content.

• Interpreting density as the number of assets: Density relates to the probability of a point existing at a particular location. In the debug view, 0 is black and 1 is white; this alone doesn’t indicate how many assets will be placed in the scene.

• Leaving the graph disorganized: The flow between nodes can become difficult to follow. Epic Games notes that comments and Reroute Nodes can help keep the graph readable.

• Overlooking attribute fields: Attributes store data with names and types. PCG includes metadata fields such as Data, Points, and Elements; make sure an attribute is in the correct field for the node that uses it.

Impact on architecture and visualization workflows

PCG may be worth exploring for technical artists, designers, and programmers who want to handle repetitive environment or asset generation with a graph-based workflow. Architecture, interior design, and archviz teams can use it to run procedural-generation experiments with a defined data and node structure. Epic Games lists buildings as one possible use case, but the sources don’t provide a ready-made architectural template or a specific project recipe.

Before moving to a real project, verify the Unreal Engine version, plugins, and project data with your team. The sources don’t specify a version number, hardware requirements, price, or licensing plan, so you’ll need to check these separately. Account for the additional plugin requirement when sampling static meshes. Testing the graph flow and output in a small scene can help you decide whether this approach suits your project.

Next steps

Once your first graph is working, explore the different categories of PCG nodes. The documentation includes node groups for functions such as filtering, density, point operations, sampling, and asset placement. When working with metadata, check which field contains the attributes and what data the relevant node accepts.

Other PCG topics covered by Epic Games include PCG Editor Mode, Shape Grammar, GPU Processing, PCG Biome, and debugging runtime generation. These are presented as separate guides to topics beyond the basics of graph creation. Working through them one at a time can make it easier to track the effects of adding new concepts to your existing graph.

Sources and license

This tutorial has been adapted into Turkish based on Epic Games’ Procedural Content Generation Overview and Procedural Content Generation Framework in Unreal Engine documentation. The sources are provided under a free license.