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#
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from predictor.inference.loader import load_predictor
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from predictor.inference.noise_selection import generate_noise_candidates, select_top_k_noise
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predictor, norm_info = load_predictor("sdxl.pth", device="cuda")
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@article{kim2026naive,
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title={Na\"{i}ve PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation},
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author={Kim, Joong Ho and Thai, Nicholas and Dip, Souhardya Saha and Lao, Dong and Mills, Keith G.},
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journal={arXiv preprint arXiv:2603.12506},
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year={2026}
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}
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# Naïve PAINE
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Lightweight Text-to-Image Generation Improvement with Prompt-Aware Inference Noise Evaluation.
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## Usage
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```python
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from predictor.inference.loader import load_predictor
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from predictor.inference.noise_selection import generate_noise_candidates, select_top_k_noise
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predictor, norm_info = load_predictor("sdxl.pth", device="cuda")
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```
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See the [GitHub repo](https://github.com/LSU-ATHENA/PAINE) for full inference and training instructions.
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## Citation
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```bibtex
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@article{kim2026naive,
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title={Na\"{i}ve PAINE: Lightweight Text-to-Image Generation Improvement with Prompt-Aware Inference Noise Evaluation},
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author={Kim, Joong Ho and Thai, Nicholas and Dip, Souhardya Saha and Lao, Dong and Mills, Keith G.},
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journal={arXiv preprint arXiv:2603.12506},
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year={2026}
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}
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```
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