Update README.md

README.md

@@ -21,7 +21,7 @@ base_model: CompVis/stable-diffusion-v1-4
 # Model Card for Renaissance Stable Diffusion
 
 <!-- Provide a quick summary of what the model is/does. [] -->
-This is a Fine-tuned Stable Diffusion model on a custom dataset of {image, caption} pairs. This model has been built on top of the fine-tuning script provided by Hugging Face. This model uses the KerasCV implementation of stability.ai's text-to-image model. Unlike other open-source alternatives like Hugging Face's Diffusers, KerasCV offers advantages such as XLA compilation and mixed precision support, resulting in state-of-the-art generation speed. Fine-tuning the Stable Diffusion model for generating high-quality Renaissance-style portraits.
+This is a Fine-tuned Stable Diffusion model on a custom dataset of {image, caption} pairs. This model has been built on top of the fine-tuning script provided by Hugging Face. This model uses the KerasCV implementation of stability.ai's text-to-image model. Unlike other open-source alternatives like Hugging Face's Diffusers, KerasCV offers advantages such as XLA compilation and mixed precision support, resulting in state-of-the-art generation speed. 
 
 
 
@@ -54,7 +54,13 @@ This is a Fine-tuned Stable Diffusion model on a custom dataset of {image, capti
 ## Model Description
 
 <!-- Provide a longer summary of what this model is/does. -->
-This is a Fine-tuned Stable Diffusion model on a custom dataset of {image, caption} pairs. This model has been built on top of the fine-tuning script provided by Hugging Face. This model uses the KerasCV implementation of stability.ai's text-to-image model. Unlike other open-source alternatives like Hugging Face's Diffusers, KerasCV offers advantages such as XLA compilation and mixed precision support, resulting in state-of-the-art generation speed. Fine-tuning the Stable Diffusion model for generating high-quality Renaissance-style portraits
+This model serves as a fine-tuned version of stability.ai's v1-4 Stable Diffusion model for generating high-quality Renaissance-style portraits. 
+It is finetuned from KerasCV's implementation of Stable Diffusion.
+Keras CV is a deep learning library that is built on top of TensorFlow and Keras. 
+It provides a number of pre-trained models for image classification, object detection, and segmentation. 
+The Keras CV implementation of Stable Diffusion is a simple and easy-to-use way to generate images from text. 
+To use the model, you simply need to provide a text prompt and the model will generate an image that matches the prompt.
+In the specific case of this fine-tuned model, upon any prompt input the model is capable of generating an image resembling that of a Renaissance era portrait.
 
 - **Developed by:** Martin Gasparyan, Tatev Kyosababyan
 - **Shared by:** Martin Gasparyan, Tatev Kyosababyan