Update README.md

README.md

@@ -62,11 +62,11 @@ Hopefully you'll like some of them.
 
 Some families are specialized — like the SDXL branch, with portrait-centric Raymnants, painterly Rayctifier, and comic-styled Rayburn — while newer architectures such as Flux, Qwen-Image, and Z-Image tend to be more powerful generalists with a strong stylistic backbone.
 
-It's also a proof-of-concept for **blockwise LoRA merging** as a method to finetune models rather than full training. Besides my SDXL models, most of the checkpoints here were done with the following process:
+It's also a proof-of-concept for **blockwise LoRA merging** as a method for finetuning models rather than full training. Besides my SDXL models, most of the checkpoints here were done with the following process:
 -  Train a LoRA on a specific concept (style or subject)
--  Turn the LoRA influence to 0 and turn it back on on every blocks of the models one by one to generate a control image
--  Identify the layers/blocks most affected my the concepts we want to reinforce
--  tune the values only in thos blocks by checking the control images until satisfactory
+-  Turn the LoRA influence to 0 and turn it back on on every block of the models one by one to generate a control image
+-  Identify the layers/blocks most affected by the concepts we want to reinforce
+-  tune the values only in thosr blocks by checking the control images until satisfactory
 -  bake weights in the model
 -  wash, rinse, repeat with a new LoRA