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- Lights
- Cameras
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Required PBR textures:
- Base Color
- Roughness
- Metalness
- Normal
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This is a professional, highly detailed mid-poly 3D model representing a Custom Lifted Ghostbusters Ecto-1 Wagon built upon a heavy-duty monster truck mega-chassis, engineered within the Blender 5.1 platform. Fusing the iconic styling of the classic 1959 paranormal response vehicle with an aggressive off-road configuration, this asset features a companion heavy-duty straight-axle monster truck subframe, deep-treaded high-clearance mud tires with aggressive knobby treading, heavy-duty differential units, an integrated rear towing hitch assembly, and a fully detailed rooftop equipment setup. The asset features a clean, production-ready wireframe topology tailored for real-time engine rendering pipelines, virtual development projects, or driving simulators.
The comprehensive technical specifications are precisely tracked as follows: 684,105 vertices, 1,332,483 edges, 650,403 faces, and 1,293,232 triangles. The package encompasses an optimized mechanical and structural design showcasing realistic independent differential units, heavy-duty link suspensions, and a robust subframe assembly built to handle real-time simulation environments with maximum visual performance.
To ensure maximum versatility and a seamless development workflow, the project file features an internally organized modular structure split into independent collections within the native directory. The heavy-duty custom lifted mega-chassis and the main upper retro vehicle body are entirely isolated. This clean layout allows you to effortlessly isolate the chassis configuration, use specific parts of the wagon body independently, or completely reuse the heavy-duty lower subframe platform to carry entirely different project frames or vehicle bodies.
Please note that this vehicle asset is strictly recommended for use in digital production projects, real-time video games, VFX, and virtual simulation environments. It has not been optimized or tested for physical 3D printing applications.