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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-to-image |
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tags: |
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- 'Image Generation ' |
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- 'Text-to-Image ' |
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--- |
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# EfficientCLIP-GAN: High-Speed Image Generation with Compact CLIP-GAN Architecture |
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<p align="center"> |
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<img src="Logo.png" width="500px"/> |
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</p> |
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# A high-quality, fast, and efficient text-to-image synthesis model |
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<p align="center"> |
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<b>Generated Images |
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</p> |
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<p align="center"> |
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<img src="Samples.png"/> |
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</p> |
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## Requirements |
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- python 3.9 |
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- Pytorch 1.9 |
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- At least 1xTesla v100 32GB GPU (for training) |
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- Only CPU (for inference) |
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**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.** |
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## Note : |
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***For more details on inference and training visit [Github Page](https://github.com/VinayHajare/EfficientCLIP-GAN)*** |
