Update README.md

README.md

@@ -16,6 +16,7 @@ Integrating the strengths of both ControlNet and PEFT, this approach offers a mo
 
 For each model below, you'll find `Rank 256` files (reducing the `~4.7GB` ControlNets to `~738MB`) and experimental, ultra-pruned `Rank 128` files (reducing to `~377MB`).
 
+Each Control-LoRA has been trained on a diverse range of image concepts and aspect ratios.
 ### MiDaS and ClipDrop Depth
 ![canny](samples/depth-sample.jpeg)
 
@@ -23,7 +24,7 @@ Depth estimation is an image processing technique that determines the distance o
 
 In the example above, we compare the depth results of MiDaS dpt_beit_large_512 with ClipDrop Depth for portraits, and their subsequent use in Depth Control-LoRa.
 
-The Control-LoRA utilizes a grayscale depth map for guided generation and has been trained on a diverse range of image concepts and aspect ratios.
+The Control-LoRA utilizes a grayscale depth map for guided generation.
 
 ### Canny Edge
 ![canny](samples/canny-sample.jpeg)