The Chinese cedar bark texture captures the intricate organic composition of natural cedar bark showcasing its rough and fibrous surface formed from layers of aged wood fibers and natural resins. This bark texture reflects the typical weathered and porous structure of a mature tree trunk featuring subtle cracks grooves and fine grain orientation that result from long-term exposure to environmental elements. The surface finish is naturally matte with moderate roughness highlighting the rugged tactile feel of the bark without any artificial polish or glossiness. Its coloration is a blend of deep reddish-brown hues and muted earthy tones emulating the natural pigments and tannins that give Chinese cedar bark its distinctive appearance. These characteristics are faithfully represented and enhanced across the PBR maps ensuring physically based rendering for realistic material response under various lighting conditions in 3D applications.
This seamless 3D texture includes high-resolution 4K maps with an optional upgrade to 8K optimizing detail and performance for diverse use cases. The Albedo channel provides rich true-to-life base colors capturing the bark’s natural pigment variations while the Normal map emphasizes the fine surface irregularities and fibrous grain texture inherent to tree bark. The Roughness map accurately conveys the bark’s uneven weathered surface enabling realistic light scattering and reflection at different angles. Ambient Occlusion enhances depth by simulating shadowed crevices within the bark’s grooves and the Height map offers subtle displacement effects that contribute to a tactile sense of depth and relief—ideal for parallax or tessellation techniques. The texture is physically based and tileable designed to integrate seamlessly into modern pipelines for Blender Unreal Engine and Unity supporting metal/rough workflow and calibrated for consistent shading across real-time and offline renderers.
Optimized for natural tree bark surfaces this PBR material delivers reliable photorealistic results for projects involving Chinese cedar trees tree trunks and natural environments without requiring manual adjustment. When applying this texture it’s recommended to carefully adjust the UV scale to maintain the bark’s organic proportions and to fine-tune the roughness values to match specific lighting scenarios—reducing roughness slightly can enhance subtle specular highlights in wet or polished bark variations. This texture is provided in both PNG and EXR formats ensuring versatile compatibility and high fidelity for detailed nature scenes in digital content creation and game development environments. Its balanced detail and performance make it a dependable choice for enhancing realism in any natural or forestry-focused 3D project.
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.
