Update README.md

README.md

@@ -31,7 +31,7 @@ the embedding's name in your NEGATIVE prompt for more interesting outputs.
 
 ## Model Description
 
-The motivation for Boring Embeddings is that negative embeddings like [Bad Prompt](https://huggingface.co/datasets/Nerfgun3/bad_prompt), 
+The motivation for Boring embeddings is that negative embeddings like [Bad Prompt](https://huggingface.co/datasets/Nerfgun3/bad_prompt), 
 whose training is described [here](https://www.reddit.com/r/StableDiffusion/comments/yy2i5a/i_created_a_negative_embedding_textual_inversion/) 
 depend on manually curated lists of tags describing features people do not want their images to have, such as "deformed hands".  Some problems with this approach are:  
 * Manually compiled lists will inevitably be incomplete.  
@@ -62,8 +62,8 @@ the model avoids making mistakes that would make the generation more boring.
 ### boring_e621_v4
 
 - **Description**: Extends the basic Boring embedding idea with several improvements including:
- - Tweaks to how data was selected for inclusion.
- - Initialized with text "by <average vector representation of 100 low-scoring e621 artist names>" (which means that you should not have to use the word "by" to trigger it anymore)
+  - Tweaks to how data was selected for inclusion.
+  - Initialized with text "by <average vector representation of 100 low-scoring e621 artist names>" (which means that you should not have to use the word "by" to trigger it anymore)
 - **Training Data Description**: About 600 several-month-old images from e621.net having 0 favorites and a score of 0.  (Comic pages are no longer excluded)
 - **Model Trained On**: [YE18](https://huggingface.co/Doubleyobro/yiffy-e18).
 - **Use Case**: The most general purpose embedding.  Probably the best Boring embedding for most SD 1.4 or 1.5 based models.