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  <a href='https://hanlab.mit.edu/blog/svdquant'>[Blog]</a>
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  </div>
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- ![teaser](https://huggingface.co/mit-han-lab/svdq-int4-flux.1-depth-dev/resolve/main/demo.jpg)
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  `svdq-int4-flux.1-fill-dev` is an INT4-quantized version of [`FLUX.1-Fill-dev`](https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev), which can fill areas in existing images based on a text description. It offers approximately 4× memory savings while also running 2–3× faster than the original BF16 model.
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  ## Method
 
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  <a href='https://hanlab.mit.edu/blog/svdquant'>[Blog]</a>
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  </div>
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+ ![teaser](https://huggingface.co/mit-han-lab/svdq-int4-flux.1-fill-dev/resolve/main/demo.jpg)
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  `svdq-int4-flux.1-fill-dev` is an INT4-quantized version of [`FLUX.1-Fill-dev`](https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev), which can fill areas in existing images based on a text description. It offers approximately 4× memory savings while also running 2–3× faster than the original BF16 model.
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  ## Method