Update README.md

README.md

@@ -7,3 +7,33 @@ tags:
 - 'Image Generation '
 - 'Text-to-Image '
 ---
+
+# EfficientCLIP-GAN: High-Speed Image Generation with Compact CLIP-GAN Architecture
+
+<p align="center">
+    <img src="Logo.png" width="500px"/>
+</p>
+
+# A high-quality, fast, and efficient text-to-image synthesis model
+
+
+<p align="center">
+<b>Generated Images
+</p>
+<p align="center">
+    <img src="Samples.png"/>
+</p>
+
+
+## Requirements
+- python 3.9
+- Pytorch 1.9
+- At least 1xTesla v100 32GB GPU (for training)
+- Only CPU (for inference) 
+
+
+EfficientCLIP-GAN is a small, rapid and efficient generative model which can generate multiple pictures in one second even on the CPU as compared to Diffusion Models.  
+
+
+## Note : 
+*** For more details on inference and training visit [Github Page](https://github.com/VinayHajare/EfficientCLIP-GAN) ***