Nano-World-Model
Collection
🌍 A minimalist repository for training video world models based on diffusion-forcing. • 20 items • Updated • 7
NanoWM-B/2 on RT-1 (300k steps)
src/scripts/phase2/rt1.sh| Key | Value |
|---|---|
| Architecture | NanoWM-B/2 |
| Dataset | rt1 |
| Prediction | v |
| Noise schedule | squaredcos_cap_v2 (ZTSNR=True) |
| Steps | 300000 |
| Batch | 8/GPU |
import sys
from omegaconf import OmegaConf
from safetensors.torch import load_file
sys.path.insert(0, "src")
from models import get_models
cfg = OmegaConf.load("ckpt/config.yaml")
cfg.experiment.infra.compile = False
model = get_models(cfg).eval()
state_dict = load_file("ckpt/model.safetensors")
model.load_state_dict(state_dict, strict=True)