removed typo
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@ -32,7 +32,7 @@ We can also do the opposite. If we have a collection of images, we can pass this
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Open the [Clip.ipynb](Clip.ipynb) notebook to see CLIP in action.
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## Contrastive Image Pre-Training (CLIP)
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## Image Generation with VQGAN+ CLIP
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CLIP can also be used for **image generation** from a text prompt. In order to do this, we need a **generator model** that will be able to generate images based on some vector input. One of such models is called [VQGAN](https://compvis.github.io/taming-transformers/) (Vector-Quantized GAN).
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