stabilityai
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sd-turbo

StableDiffusionPipeline

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rromb commited on Nov 30, 2023

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@@ -39,8 +39,8 @@ which implements the most popular diffusion frameworks (both training and infere
 ![comparison1](image_quality_one_step.png)
 ![comparison2](prompt_alignment_one_step.png)
 The charts above evaluate user preference for SD-Turbo over other single- and multi-step models.
-SD-Turbo evaluated at a single step is preferred by human voters in terms of image quality and prompt following over LCM-XL evaluated at four (or fewer) steps.
-In addition, we see that using four steps for SD-Turbo further improves performance.
 **Note:** For increased quality, we recommend the bigger version [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo/).
 For details on the user study, we refer to the [research paper](https://stability.ai/research/adversarial-diffusion-distillation).

 ![comparison1](image_quality_one_step.png)
 ![comparison2](prompt_alignment_one_step.png)
 The charts above evaluate user preference for SD-Turbo over other single- and multi-step models.
+SD-Turbo evaluated at a single step is preferred by human voters in terms of image quality and prompt following over LCM-Lora XL and LCM-Lora 1.5.
 **Note:** For increased quality, we recommend the bigger version [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo/).
 For details on the user study, we refer to the [research paper](https://stability.ai/research/adversarial-diffusion-distillation).