---
license: apache-2.0
language:
- en
pipeline_tag: text-to-image
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)***