Update README.md

README.md

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 ## Introduction
 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.
 
-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`).
+For each model below, you'll find:
+
+- *Rank 256* files (reducing the original `4.7GB` ControlNet models down to `~738MB` Control-LoRA models) and experimental
+- *Rank 128* files (reducing to model down to `~377MB`)
 
 Each Control-LoRA has been trained on a diverse range of image concepts and aspect ratios.
 ### MiDaS and ClipDrop Depth