Instructions to use Xun49/Event-aligned-robotwin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xun49/Event-aligned-robotwin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Xun49/Event-aligned-robotwin", 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
Update README.md
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README.md
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@@ -59,10 +59,13 @@ Built on the Robbyant Team's [LingBot-VA](https://github.com/Robbyant/lingbot-va
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```bibtex
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@misc{yang2026eventaligned,
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title={Event-Aligned Visual Action Reasoning for World Action Models},
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author={Yang, Xiaomeng and Wu, Yushu and Gao, Yi and Lei, Yuhao and Zhang, Xuan and Zhao, Pu and Wang, Yanzhi},
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year={2026},
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}
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```
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```bibtex
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@misc{yang2026eventaligned,
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title = {Event-Aligned Visual Action Reasoning for World Action Models},
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author = {Yang, Xiaomeng and Wu, Yushu and Gao, Yi and Lei, Yuhao and Zhang, Xuan and Zhao, Pu and Wang, Yanzhi},
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year = {2026},
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eprint = {2610.09427},
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archivePrefix = {arXiv},
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primaryClass = {cs.CV},
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url = {https://arxiv.org/abs/2610.09427}
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}
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```
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