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README.md

@@ -10,15 +10,15 @@ The embeddings in this repository were trained for the 768px [Stable Diffusion v
 
 **Knollingcase v1**:
 
-The v1 embeddings were trained for 4000 iterations with a batch size of 2 and a text dropout of 10%, using Automatic1111's WebUI. A total of 69 training images were used.
+The v1 embeddings were trained for 4000 iterations with a batch size of 2, a text dropout of 10%, & 16 vectors using Automatic1111's WebUI. A total of 69 training images were used.
 
 **Knollingcase v2**:
 
-The v3 embeddings were trained for 5000 iterations with a batch size of 4 and a text dropout of 10%, using Automatic1111's WebUI. A total of 78 training images were used.
+The v3 embeddings were trained for 5000 iterations with a batch size of 4 and a text dropout of 10%, & 16 vectors using Automatic1111's WebUI. A total of 78 training images were used.
 
 **Knollingcase v3**:
 
-The v3 embeddings were trained for 4000-6250 iterations with a batch size of 4 and a text dropout of 10%, using Automatic1111's WebUI. A total of 86 training images were used.
+The v3 embeddings were trained for 4000-6250 iterations with a batch size of 4 and a text dropout of 10%, & 16 vectors using Automatic1111's WebUI. A total of 86 training images were used.
 
 **Knollingcase v4**: