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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 13.6B 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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  ## 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 12B 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">