ccccsc/preview_model

Preview Model Weights

This directory contains the local weights required by the Preview Model.

Weight Mapping

Component	Local path	Description
Video generation model (VGen)	checkpoints/diffusion_pytorch_model.bin	Main video diffusion model.
Action Expert	checkpoints/action_model/diffusion_pytorch_model.bin	Action prediction model.
VAE	vae/diffusion_pytorch_model.safetensors	Video latent encoder and decoder.
VAE latent statistics	vae/latent_stats.pth	Latent normalization statistics used by the VAE.
Qwen3.5 VLM	Qwen/Qwen3.5-2B	Vision-language model used for instruction and image conditioning.

The config.json files next to each model define the corresponding model architecture.

Expected Layout

preview_model/
├── checkpoints/
│   ├── config.json
│   ├── diffusion_pytorch_model.bin
│   └── action_model/
│       ├── config.json
│       └── diffusion_pytorch_model.bin
├── vae/
│   ├── config.json
│   ├── diffusion_pytorch_model.safetensors
│   └── latent_stats.pth
└── stats.json

stats.json contains the state and action normalization statistics used during policy inference.

Runtime Paths

Use preview_model/checkpoints as the CKPT directory, use preview_model/vae as the configured VAE path, and set the VAE statistics path to preview_model/vae/latent_stats.pth. Download Qwen3.5-2B from the link above and set vlm_model_id to its local directory or directly to Qwen/Qwen3.5-2B when Hugging Face downloads are available.