Instructions to use tz2026/ReWorld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tz2026/ReWorld with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tz2026/ReWorld", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 594 Bytes
ad560a6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"model_type": "reworld",
"architectures": ["ReWorldVideoDiT", "ReWorldActionDiT"],
"paper": "https://arxiv.org/abs/2606.27504",
"project_page": "https://xiaomi-research.github.io/ReWorld/",
"checkpoints": {
"ReWorld-Video": {
"path": "ReWorld-Video/dualflow_dit_best_fvd.safetensors",
"stage": 1,
"description": "Future-predictive Video DiT (best FVD on nuScenes)"
},
"ReWorld-Act": {
"path": "ReWorld-Act/diffusion_pytorch_model.safetensors",
"stage": "2-3",
"description": "World-grounded Action DiT / planner (NAVSIM)"
}
}
}
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