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@@ -61,7 +61,8 @@ its small size.
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  <img height="300" src="figures/comparison.png"/>
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  According to our evaluation, Stable Cascade performs best in both prompt alignment and aesthetic quality in almost all
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  comparisons. The above picture shows the results from a human evaluation using a mix of parti-prompts (link) and
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- aesthetic prompts. Specifically, the comparison was held against Playground v2, SDXL Turbo, SDXL and Würstchen v2.
 
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  ## Code Example
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  ```python
 
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  <img height="300" src="figures/comparison.png"/>
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  According to our evaluation, Stable Cascade performs best in both prompt alignment and aesthetic quality in almost all
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  comparisons. The above picture shows the results from a human evaluation using a mix of parti-prompts (link) and
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+ aesthetic prompts. Specifically, Stable Cascade (30 inference steps) was compared against Playground v2 (50 inference
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+ steps), SDXL (50 inference steps), SDXL Turbo (1 inference step) and Würstchen v2 (30 inference steps).
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  ## Code Example
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  ```python