Update README.md

README.md

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 # **Stable Diffusion 2-Based Gray-Inpainting to RGB**
 
-This model pipeline demonstrates an advanced workflow for restoring grayscale images, performing inpainting, and converting them to RGB. The pipeline leverages two models based on the Stable Diffusion 2 architecture:
 
-1. **Gray-Inpainting Model**: Fills missing regions of a grayscale image using a masked inpainting process based on an autoencoder (AE) instead of a variational autoencoder (VAE).
+1. **Gray-Inpainting Model**: Fills missing regions of a grayscale image using a masked inpainting diffusion process based on an autoencoder (AE) instead of a variational autoencoder (VAE).
 
 2. **Gray-to-RGB Conversion Model**: Converts the grayscale image (or inpainted output) into a full-color RGB image by adding a residual path in the AE. internel unet directly predicts difference between gray and color image's latent