Update README.md

README.md

@@ -8,13 +8,9 @@ tags:
 
 
 ## Introduction
-What's better than ControlNets for SDXL? ControlNet... but, more efficient.
+By adding low-rank parameter efficient fine tuning to ControlNet, we introduce ***Control-LoRAs***. This approach offers a more efficient and compact method to bring model control to a wider variety of consumer GPUs.
 
-By introducing low-rank parameter efficient fine tuning to control networks, we introduce ***Control-LoRAs***.
-
-Integrating the strengths of both ControlNet and PEFT, this approach offers a more efficient and compact method to bring model control for a wider variety of consumer GPUs.
-
-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`).
+For each model below, you'll find `Rank 256` files (reducing the `~4.7GB` ControlNets to `~738MB`) and experimental, `Rank 128` files (reduced to `~377MB`).
 
 Each Control-LoRA has been trained on a diverse range of image concepts and aspect ratios.
 ### MiDaS and ClipDrop Depth
@@ -22,15 +18,15 @@ Each Control-LoRA has been trained on a diverse range of image concepts and aspe
 
 Depth estimation is an image processing technique that determines the distance of objects in a scene, providing a depth map that highlights variations in proximity.
 
-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.
 
+In the example above, we compare the depth results of `MiDaS dpt_beit_large_512` and the `Portrait Depth Estimation` (available in the [ClipDrop API by Stability AI](https://clipdrop.co/apis/docs/portrait-depth-estimation)).
+
 ### Canny Edge
 ![canny](samples/canny-sample.jpeg)
 Canny Edge Detection is an image processing technique that identifies abrupt changes in intensity to highlight edges in an image.
 
-This Control-LoRA uses the edges from an image to guide the generation.
+This Control-LoRA uses the edges from an image to generate the final image.
 
 ### Photograph and Sketch Colorizer
 ![photograph colorizer](samples/colorizer-sample.jpeg)