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Update README.md

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@@ -67,6 +67,8 @@ This ensures that the model learns to associate the embedding with the character
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  ![Hamburger Comparison](hamburger_comparison.jpg)
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  ## Usage & Adoption
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  Boring Embeddings have been adopted across multiple Stable Diffusion communities:
@@ -142,6 +144,8 @@ To qualitatively illustrate how well the Boring embeddings have learned to impro
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  ![Performance on Simple Prompts](comparison.jpg)
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  As we can see, putting these embeddings in the negative prompt yields a more delicious burger, a more vibrant and detailed landscape, a prettier pharoah, and a more 3-d-looking aquarium.
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  Hyperparameters were tuned based on manual evaluations of grids like these.
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  ![Hamburger Comparison](hamburger_comparison.jpg)
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+ *Each column uses the same seed; rows compare baseline vs. embedding outputs to isolate the effect of the embedding across prompts. Improvements are consistent across seeds and domains.*
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  ## Usage & Adoption
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  Boring Embeddings have been adopted across multiple Stable Diffusion communities:
 
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  ![Performance on Simple Prompts](comparison.jpg)
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+ *Paired comparison using identical seeds and generation settings; differences reflect only the effect of the embedding.*
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  As we can see, putting these embeddings in the negative prompt yields a more delicious burger, a more vibrant and detailed landscape, a prettier pharoah, and a more 3-d-looking aquarium.
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  Hyperparameters were tuned based on manual evaluations of grids like these.
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