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README.md
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## Update
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- 2025/09/29: We release **Qwen-Image-Edit-2509-Pruning**
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## Introduction
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This open-source project is based on Qwen-Image-Edit 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 version will continue to be iterated upon. Please stay tuned.
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<div align="center">
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<img src="bench.png">
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</div>
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<div align="center">
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<img src="bench-2509.png">
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</div>
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pipeline.set_progress_bar_config(disable=None)
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image1 = Image.open("input1.jpg")
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image2 = Image.open("input2.jpg")
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prompt = "
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inputs = {
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"image": [image1, image2],
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"prompt": prompt,
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## Update
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- 2025/09/29: We release **Qwen-Image-Edit-2509-Pruning**
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- 2025/09/28: We release **Qwen-Image-Edit-Pruning**
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## Introduction
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This open-source project is based on Qwen-Image-Edit 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 version will continue to be iterated upon. Please stay tuned.
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<div align="center">
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<img src="bench.png">
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<img src="bench-2509.png">
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</div>
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pipeline.set_progress_bar_config(disable=None)
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image1 = Image.open("input1.jpg")
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image2 = Image.open("input2.jpg")
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prompt = "Let the ancient costume beauty in the second picture sit on the sofa in the first picture"
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inputs = {
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"image": [image1, image2],
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"prompt": prompt,
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