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  This is an NF4 quantized model of Qwen-image-edit so it can run on GPUs using 20GB VRAM. You can run it on lower VRAM like 16GB.
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  There were other NF4 models but they made the mistake of blindly quantizing all layers in the transformer.
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  This one does not. We retain some layers at full precision in order to ensure that we get quality output.
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  The original Qwen-Image attributions are included verabtim below.
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- ---
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- license: apache-2.0
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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: image-to-image
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- base_model:
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- - Qwen/Qwen-Image-Edit
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- ---
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  <p align="center">
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  <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_edit_logo.png" width="400"/>
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  <p>
 
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+ ---
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+ license: apache-2.0
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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: image-to-image
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+ quantized_by: A Dujari
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+ base_model:
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+ - Qwen/Qwen-Image-Edit
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+ ---
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+
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  This is an NF4 quantized model of Qwen-image-edit so it can run on GPUs using 20GB VRAM. You can run it on lower VRAM like 16GB.
14
  There were other NF4 models but they made the mistake of blindly quantizing all layers in the transformer.
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  This one does not. We retain some layers at full precision in order to ensure that we get quality output.
 
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  The original Qwen-Image attributions are included verabtim below.
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+
 
 
 
 
 
 
 
 
 
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  <p align="center">
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  <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_edit_logo.png" width="400"/>
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  <p>