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
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README.md
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**The first representation learning framework for autonomous-driving World Action Models**
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[](https://arxiv.org/abs/2606.27504)
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[](https://xiaomi-research.github.io/
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[](https://huggingface.co/tz2026/ReWorld)
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[](LICENSE)
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[](pyproject.toml)
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**The first representation learning framework for autonomous-driving World Action Models**
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[](https://arxiv.org/abs/2606.27504)
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[](https://xiaomi-research.github.io/reworld/)
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[](https://huggingface.co/tz2026/ReWorld)
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[](LICENSE)
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[](pyproject.toml)
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