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@@ -3,26 +3,32 @@ license: apache-2.0
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  base_model:
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  - Qwen/Qwen-Image
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  language:
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- - en
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- - zh
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  library_name: diffusers
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  pipeline_tag: text-to-image
 
 
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  ---
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  <div align="center">
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  <h1>Qwen-Image-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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  ## Introduction
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- This open-source project is based on Qwen-Image and has attempted model pruning, removing 20 layers while retaining the weights of 40 layers, resulting in a model size of 13.3B parameters. The pruned model has experienced a slight drop in objective metrics. The pruned version will continue to be iterated upon. Additionally, the pruned version supports the adaptation and loading of community models such as LoRA and ControlNet. Please stay tuned. For the relevant inference scripts, please refer to **[Qwen-Image-13.3B](https://github.com/OPPO-Mente-Lab/Qwen-Image-Pruning)**.
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  <div align="center">
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  <img src="bench.png">
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  </div>
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- ## Update
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-
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- - 2025/09/24: We release an open-source pruned 12B model **Qwen-Image-12B**. Its performance is comparable to the previous version that pruned 20 layers of the 13.3B model, both subjectively and objectively. We will continue to optimize its performance going forward.
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  ## Quick Start
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  base_model:
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  - Qwen/Qwen-Image
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  language:
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+ - en
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+ - zh
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  library_name: diffusers
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  pipeline_tag: text-to-image
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+ datasets:
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+ - OPPOer/X2Edit-Dataset
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  ---
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  <div align="center">
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  <h1>Qwen-Image-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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+ ## Update
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+
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+ - 2025/09/24: We present **Qwen-Image-12B**, an open-source pruned variant with 12B parameters. Experimental results show that its performance is on par with the prior 13.3B model pruned by removing 20 layers, as validated through both objective benchmarks and human assessment. Continuous optimization efforts are underway.
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+
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+
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+
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+
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  ## Introduction
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+ This open-source project is based on Qwen-Image and has attempted model pruning, removing 20 layers while retaining the weights of 40 layers, resulting in a model size of 13.3B parameters. The pruned model has experienced a slight drop in objective metrics. The pruned version will continue to be iterated upon. Additionally, the pruned version supports the adaptation and loading of community models such as LoRA and ControlNet. Please stay tuned. For the relevant inference scripts, please refer to **[Qwen-Image-Pruning](https://github.com/OPPO-Mente-Lab/Qwen-Image-Pruning)**.
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  <div align="center">
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  <img src="bench.png">
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  </div>
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  ## Quick Start
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