Update README.md

README.md

@@ -66,9 +66,7 @@ This ensures that the model learns to associate the embedding with the character
 
 
 ![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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+*Each column uses the same seed; rows compare baseline vs. embedding outputs for a single prompt, isolating the effect of the embedding across seeds.*
 
 ## Usage & Adoption
 Boring Embeddings have been adopted across multiple Stable Diffusion communities:
@@ -143,8 +141,7 @@ Boring Embeddings have been adopted across multiple Stable Diffusion communities
 To qualitatively illustrate how well the Boring embeddings have learned to improve image quality, we apply them to a small set of simple sample prompts using the base Stable Diffusion 1.5 model.
 
 ![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.*
+*Paired comparison across multiple prompts and identical seeds; differences reflect only the effect of the embedding.*
 
 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.
 Hyperparameters were tuned based on manual evaluations of grids like these.