Update README.md

README.md

@@ -50,7 +50,7 @@ From left to right: Input image, Masked image, SDXL inpainting, Ours.
 
 Step1： Make sure you upgrade to the latest version of diffusers(>=0.29.2): pip install -U diffusers.
 
-Step2: Download the two required Python files（pipeline_sd3_controlnet_inpainting.py and controlnet_sd3.py） from either the current repo or from (GitHub)[https://github.com/JPlin/SD3-Controlnet-Inpainting].
+Step2: Download the two required Python files（pipeline_sd3_controlnet_inpainting.py and controlnet_sd3.py） from either the current repo or from [GitHub](https://github.com/JPlin/SD3-Controlnet-Inpainting).
 (We will merge this Feature to official Diffusers.)
 
 Step3: And then you can run demo.py or following:
@@ -126,4 +126,4 @@ The model was trained on 12M laion2B and internal source images for 20k steps at
 Due to the fact that only 1024*1024 pixel resolution was used during the training phase, the inference performs best at this size, with other sizes yielding suboptimal results. We will initiate multi-resolution training in the future, and at that time, we will open-source the new weights.
 
 ## LICENSE
-The model is based on SD3 finetuning; therefore, the license follows the original (SD3 license)[https://huggingface.co/stabilityai/stable-diffusion-3-medium#license].
+The model is based on SD3 finetuning; therefore, the license follows the original [SD3 license](https://huggingface.co/stabilityai/stable-diffusion-3-medium#license).