This plastered stone wall texture captures the intricate details of a weathered crumbling exterior surface composed primarily of natural stone rocks embedded in a plaster concrete matrix. The base substrate consists of rough mineral stone aggregates bound by a cementitious plaster exhibiting typical characteristics of a man-made plaster-concrete finish. Over time environmental exposure has imparted signs of aging such as chipped edges cracked cement joints scuffed plaster surfaces and discolored patches resulting in a richly worn appearance. The surface finish balances areas of roughness with occasional smoother plastered regions reflecting subtle variations in porosity and erosion. Natural oxide pigments and mineral colorants contribute to an authentic muted palette that enhances the material’s realism in any 3D scene or game environment.
This physically based rendering (PBR) texture set includes meticulously crafted maps essential for accurate shading and lighting fidelity. The Albedo (BaseColor) map reveals the complex interplay of stone plaster and cement color tones while the Normal map encodes fine surface relief such as cracks chips and scuffs that define the rough uneven texture. The Roughness channel controls the balance between matte plaster and slightly glossier stone and cement patches emphasizing the worn and weathered finish. Ambient Occlusion adds depth to crevices and damaged areas enhancing the perception of layered material aging. The Height (Displacement) map supports realistic depth effects for chipped and crumbling sections allowing for enhanced parallax or tessellation in 3D engines. The texture set follows a metal/rough workflow with zero metallic values optimized for consistent results across Blender Unreal Engine and Unity.
Provided in seamless 4K resolution with an optional 8K upgrade for high-end rendering workflows this tileable plastered stone wall material is designed for modern production pipelines. Its optimized calibration ensures reliable shading without the need for manual tweaks delivering balanced detail and performance across diverse digital content creation software and real-time game engines. This enables artists and developers to achieve a natural exterior wall look with minimal setup perfect for architectural visualization environment design or historical reconstruction projects.
For best results it is recommended to carefully adjust the UV scale to maintain the texture’s realistic grain size and to fine-tune the roughness map to emphasize the contrast between the plaster’s matte finish and the slightly glossier stone and cement components. Utilizing the height map for subtle parallax effects can greatly enhance the perceived depth of cracks and chipped areas adding further realism to your scenes.
Using This PBR Texture in Blender
Import the texture maps into Blender with sRGB color space for albedo/base color and
Non-Color for normal, roughness, metallic, AO, height, and ORM maps. Connect normal maps
through a Normal Map node, then adjust UV scale with a Mapping node so the material repeats naturally on
your model.
- Albedo -> Principled BSDF Base Color
- Roughness -> Roughness, Metallic -> Metallic
- Normal -> Normal Map node -> Normal
- Height -> Bump or Displacement depending on render setup
For the full step-by-step setup, see
How to Use Seamless Textures in Blender.
Browse related material examples in
wood,
concrete, and
metal.
FAQ
Is this texture seamless and tileable?
Yes. This texture is designed as a seamless tileable PBR material, so it can repeat across large surfaces without visible borders.
Which resolutions and formats are available?
You can download PNG/WEBP versions and use 1K, 2K, 4K and 8K download options when available on the page.
Can I use it in Blender, Unreal Engine and Unity?
Yes. The download options and engine-mapped ZIP workflow are designed for Blender, Unreal Engine, Unity Standard, URP and HDRP material pipelines.
Is commercial use allowed?
Yes. The texture is available under the AITextured free commercial license. Review the license page for redistribution and AI-training restrictions.
