EfficientCLIP-GAN

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