syntverk/syntverk-mesh-models

Syntverk Mesh Models (ONNX)

Pre-exported ONNX models for 3D mesh generation and auto-rigging in Syntverk, a native agentic coding tool.

Models

Hunyuan3D-2mini (Shape Generation)

Image → 3D mesh via flow-matching diffusion.

File	Size	Description
dinov2_encoder.onnx + weights	~3.5 GB	DINOv2-giant image encoder (fp16)
shape_dit.onnx	~3 MB	Diffusion transformer (fp16)
vae_transformer.onnx	~385 MB	VAE latent decoder (fp16)
vae_cross_attn_decoder.onnx	~25 MB	VAE geometry decoder (fp16)

Original model: Tencent/Hunyuan3D-2mini (Apache 2.0)

Puppeteer (Auto-Rigging)

Mesh → skeleton + skinning weights.

File	Size	Description
skeleton_encoder.onnx	~245 MB	Michelangelo point cloud encoder (fp32)
skeleton_gpt.onnx	~580 MB	SkeletonGPT OPT-350M transformer (fp16)
skinning_net.onnx	varies	SkinningNet with PartField + TAJA
weights/*.npy	~11 MB	Embedding weights for token generation
puppeteer_config.json	<1 KB	Model configuration

Original model: Seed3D/Puppeteer (Apache 2.0)

Usage

These models are automatically downloaded by Syntverk on first use. Place them in ~/.local/share/syntverk/models/mesh/.

~/.local/share/syntverk/models/mesh/
├── hunyuan3d-mini/
│   ├── dinov2_encoder.onnx
│   ├── ... (weight files)
│   ├── shape_dit.onnx
│   ├── vae_transformer.onnx
│   └── vae_cross_attn_decoder.onnx
└── puppeteer/
    ├── skeleton_encoder.onnx
    ├── skeleton_gpt.onnx
    ├── skinning_net.onnx
    └── weights/
        └── *.npy

License

The ONNX exports are derived from models under Apache 2.0:

• Hunyuan3D-2mini: Copyright Tencent
• Puppeteer: Copyright ByteDance
• Michelangelo: Copyright original authors
• PartField: Copyright original authors

This repository packages those weights in ONNX format for use with ONNX Runtime.