Japanese Bonsai - Large Shimpaku Juniper with Domed Canopy (Suigai) | VRChat World Prop

A Japanese-style bonsai 3D prop for VRChat worlds and homes.

This one is a shimpaku juniper in the informal upright (moyogi) style, and it is the

first large-size piece in our range. A thick, heavy trunk rises from the pot and carries

a dense canopy that spreads overhead like a domed roof. A small area of shari - trunk

wood bleached pale by weather - sits low near the roots and tightens the weight of it.

Where our other junipers make the deadwood the subject, this one is about the mass of

the trunk and the green above it. It is named "Suigai", meaning a canopy of deep green.

- Low-poly: approx. 9,890 triangles, 1 material

- 2K colour texture (2048x2048)

- Approx. 70cm tall including the pot - our first large-size bonsai

- Pot, moss and soil modelled as one piece

- PC ready (Quest version in preparation)

WHAT'S INCLUDED

- WabisabiBonsai_Shinpaku10.unitypackage (prefab / FBX / material / 2K colour texture)

- Licence text

Note: the display stand in the photographs is a photo prop. It is not included.

HOW TO USE

1. Import the unitypackage into a Unity project with the VRChat SDK (Worlds) installed

2. Drag the prefab into your scene

3. Switch the shader to liltoon or similar if you prefer

SEE IT IN VRCHAT

Our showroom world "Bonsai Engawa | Wabisabi Bonsaido" displays the bonsai on real

shelves - and this large one stands on its own stand in the bonsai garden, just inside

the gate.

https://vrchat.com/home/world/wrld_45f4080f-f220-4c13-ae76-b0f0d00b736d

LICENCE (summary)

- Use, modify and upload inside VRChat: OK

- Redistributing or reselling the data itself (fbx / prefab / textures): not allowed

- Full terms are included with the download

AI DISCLOSURE (AI-Assisted)

What was generated by AI:

The base 3D mesh and its base-colour texture were generated with Meshy, an

image-to-3D AI tool. The input was a reference image of a bonsai that we prepared

ourselves; no third-party artwork or scanned model was used as input.

What was done by hand, without AI:

Removal of the display stand from the reference image, retopology and decimation to a

VRChat-friendly triangle budget, material setup, scaling to real-world size, prefab

construction, multi-angle quality inspection, product photography and packaging.

Rights basis:

The model was generated under a paid Meshy plan, which grants full commercial and

resale rights to the output. Meshy states that its models are trained on legally

obtained, properly licensed data.