Instructions to use msj9817/GenHancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msj9817/GenHancer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="msj9817/GenHancer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("msj9817/GenHancer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -37,9 +37,9 @@ We also attach the evaluation codes in `evaluation/`.
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```
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@article{ma2025genhancer,
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title={GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers},
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}
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```
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```
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@article{ma2025genhancer,
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title={GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers},
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author={Ma, Shijie and Ge, Yuying and Wang, Teng and Guo, Yuxin and Ge, Yixiao and Shan, Ying},
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journal={arXiv preprint arXiv:2503.19480},
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year={2025}
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}
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```
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