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<a href='https://hanlab.mit.edu/blog/svdquant'>[Blog]</a>
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, 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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`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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