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1# Generate image from text prompt
2from flextok_ar.utils.helpers import load_model
3
4# Load model
5model, tokenizer, cfg = load_model(
6 model_id="ZhitongGao/GridAR-3B-T2I",
7 device="cuda"
8)
9
10# Generate image
11images = model.generate(
12 data_dict={"text": ["A serene lake at sunset"]},
13 cfg_factor=3.0,
14 temperature=1.0,
15)1@article{gao2026ordered,
2 title={(1D) Ordered Tokens Enable Efficient Test-Time Search},
3 author={Zhitong Gao and Parham Rezaei and Ali Cy and Mingqiao Ye and Nata{\v{s}}a Jovanovi{\\'{c}} and Jesse Allardice and Afshin Dehghan and Amir Zamir and Roman Bachmann and O{\\u{g}}uzhan Fatih Kar},
4 journal={arxiv 2026},
5 year={2026}
6}
7
8@article{flextok,
9 title={{FlexTok}: Resampling Images into 1D Token Sequences of Flexible Length},
10 author={Roman Bachmann and Jesse Allardice and David Mizrahi and Enrico Fini and O{\\u{g}}uzhan Fatih Kar and Elmira Amirloo and Alaaeldin El-Nouby and Amir Zamir and Afshin Dehghan},
11 journal={arXiv 2025},
12 year={2025}
13}