FishWoWater/trellis_blender

Update: add support for TRELLIS.2
A Blender addon that integrates the 3D generation capabilities of TRELLIS and TRELLIS2 into blender.
## Features
##### TRELLIS
Text-to-3D: native generation of textured 3D mesh from text
Image-to-3D: native generation of textured 3D mesh from a single RGB image
Text-conditioned Detail Variation: generating textures for a mesh given text
Image-conditioned Detail Variation: generating textures for a mesh given a single RGB image
##### TRELLIS2
Text-to-3D: generation of textured 3D mesh from text (t2i using z-image-turbo, and then image2mesh using trellis.2)
Image-to-3D: native generation of textured 3D mesh from a single RGB image (native trellis.2)
##### MCP integration
Integrates with MCP and can communicate with Cursor/Windsurf. Refer to Trellis MCP
## Installation
### Requirements
Blender 3.6.0 or higher
[Option1] Running TRELLIS API server (Refer to my TreLLIS fork)
[Option2] Running TRELLIS.2 API server (Refer to my TreLLIS.2 fork)
You can also start both servers and switch the backend in the blender addon.
### Enable the plugin
1. Download the plugin files (clone this repo)
2. In Blender, go to Edit > Preferences > Add-ons
3. Click "Install" and select the trellis_for_blender.py file
4. Enable the addon by checking the box next to "3D View: TRELLIS"
### Native Workflow
1. Access the panel (open 3d viewport and press n to open sidebar), find TRELLIS.
2. (Optionally) Select an object in the scene, select an image as conditional input.
3. Adjust generation parameters (empirically can use fewer steps)
4. The plugin will upload both the object(if selected) and the image/text to the API backend.
5. When finished, the model can be downloaded and imported into the scene.
You can see the historical requests in the main panel
### MCP Workflow
1. Access the panel (open 3d viewport and press n to open sidebar), find TRELLIS, click Start MCP Server
2. Open Claude/Cursor/Windsurf, paste following configuration:
text
"mcpServers": {
"trellis": {
"command": "uvx",
"args": [
"trellis-mcp"
## Generation Parameters
Sparse Structure Settings
Sample Steps (sampling steps for structure diffusion, by default 12)
CFG Strength (classifier-free-guidance, by default 7.5, higher value will better align the input image)