Update README.md

README.md

@@ -23,7 +23,7 @@ This repository provides a Inpainting ControlNet checkpoint for [FLUX.1-dev](htt
 
 * The model was trained on 12M laion2B and internal source images at resolution 768x768. The inference performs best at this size, with other sizes yielding suboptimal results.
 
-* The recommended controlnet_conditioning_scale is 0.95.
+* The recommended controlnet_conditioning_scale is 0.9 - 0.95.
 
 * **Please note: This is only the alpha version during the training process. We will release an updated version when we feel ready.**
 
@@ -56,11 +56,11 @@ From left to right: Input image | Masked image | SDXL inpainting | Ours
 
 ``` Shell
 # install diffusers
-pip install -U diffusers
+pip install diffusers==0.30.2
 # clone this repo
-git clone https://github.com/JPlin/FLUX-Controlnet-Inpainting.git
-# run
-python main.py -i <input_image> -m <mask_image> -p <prompt>
+git clone https://github.com/alimama-creative/FLUX-Controlnet-Inpainting.git
+# modify the image_path, mask_path, and prompt in main.py. Run：
+python main.py
 ```
 
 ## LICENSE