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@@ -38,8 +38,9 @@ which implements the most popular diffusion frameworks (both training and infere
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  ## Evaluation
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  ![comparison1](image_quality_one_step.png)
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  ![comparison2](prompt_alignment_one_step.png)
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- The chart above evaluates user preference for SDXL-Turbo over TODO.
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- SDXL-Turbo is preferred by human voters in terms of image quality and prompt following.
 
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  For details on the user study, we refer to the [research paper](TODO).
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  ## Evaluation
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  ![comparison1](image_quality_one_step.png)
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  ![comparison2](prompt_alignment_one_step.png)
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+ The charts above evaluate user preference for SDXL-Turbo over other single- and multi-step models.
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+ SDXL-Turbo evluated at a single step is preferred by human voters in terms of image quality and prompt following over LCM-XL evaluated at four (or less) steps.
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+ In addition, we see that using four steps for SDXL-Turbo further improves performance.
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  For details on the user study, we refer to the [research paper](TODO).
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