From 9d39e9f75621332e4ecedae29c8f1ec1e3f5e49c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Pikach=C3=BA?= Date: Tue, 20 Jun 2023 16:18:37 +0300 Subject: [PATCH] removed typo --- lessons/X-Extras/X1-MultiModal/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lessons/X-Extras/X1-MultiModal/README.md b/lessons/X-Extras/X1-MultiModal/README.md index 4c44bd1d..0aeba2db 100644 --- a/lessons/X-Extras/X1-MultiModal/README.md +++ b/lessons/X-Extras/X1-MultiModal/README.md @@ -32,7 +32,7 @@ We can also do the opposite. If we have a collection of images, we can pass this Open the [Clip.ipynb](Clip.ipynb) notebook to see CLIP in action. -## Contrastive Image Pre-Training (CLIP) +## Image Generation with VQGAN+ CLIP 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).