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@@ -12,6 +12,7 @@ datasets:
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  ---
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  <div align="center">
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  <h1>Qwen-Image-Edit-Pruning</h1>
 
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  <a href='https://github.com/OPPO-Mente-Lab/Qwen-Image-Pruning'><img src="https://img.shields.io/badge/GitHub-OPPOer-blue.svg?logo=github" alt="GitHub"></a>
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  </div>
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@@ -96,4 +97,21 @@ with torch.inference_mode():
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  output_image = output.images[0]
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  output_image.save("output_image_edit_plus.png")
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  print("image saved at", os.path.abspath("output_image_edit_plus.png"))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  ---
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  <div align="center">
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  <h1>Qwen-Image-Edit-Pruning</h1>
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+ <a href='https://arxiv.org/abs/2511.16156'><img src='https://img.shields.io/badge/arXiv-2508.07607-b31b1b.svg'></a> &nbsp;
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  <a href='https://github.com/OPPO-Mente-Lab/Qwen-Image-Pruning'><img src="https://img.shields.io/badge/GitHub-OPPOer-blue.svg?logo=github" alt="GitHub"></a>
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  </div>
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  output_image = output.images[0]
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  output_image.save("output_image_edit_plus.png")
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  print("image saved at", os.path.abspath("output_image_edit_plus.png"))
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+ ```
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+
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+
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+ ## Citation
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+
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+ 🌟 If you find our work helpful, please consider citing our paper and leaving valuable stars
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+
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+ ```
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+ @misc{ma2025pluggablepruningcontiguouslayer,
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+ title={Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers},
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+ author={Jian Ma and Qirong Peng and Xujie Zhu and Peixing Xie and Chen Chen and Haonan Lu},
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+ year={2025},
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+ eprint={2511.16156},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2511.16156},
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+ }
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  ```