![pixel art text generator pixel art text generator](https://codingshiksha.com/wp-content/uploads/2021/04/Screenshot_1785.png)
(NOTE: “!” is a special command in google Colab that means it will run the command in bash instead of python”)
#PIXEL ART TEXT GENERATOR INSTALL#
from IPython.utils import io with io.capture_output() as captured: !git clone # !pip install taming-transformers !git clone !rm -Rf clipit !git clone !pip install ftfy regex tqdm omegaconf pytorch-lightning !pip install kornia !pip install imageio-ffmpeg !pip install einops !pip install torch-optimizer !pip install easydict !pip install braceexpand !pip install git+ # ClipDraw deps !pip install svgwrite !pip install svgpathtools !pip install cssutils !pip install numba !pip install torch-tools !pip install visdom !pip install gradio !git clone %cd diffvg # !ls !git submodule update -init -recursive !python setup.py install %cd. Next, we need to set up the codebase and the dependencies first. Steps to change Colab runtime type to GPU. There is even AudioCLIP which uses audio instead of images. Many variants of X + CLIP have come up such as StyleCLIP (StyleGAN + CLIP), CLIPDraw (uses vector art generator), BigGAN + CLIP, and many more. However, you can replace VQGAN with any kind of generator and it can still work really well depending on the generator.
![pixel art text generator pixel art text generator](https://cdna.artstation.com/p/marketplace/presentation_assets/000/061/578/medium/file.png)
VQGAN+CLIP is simply an example of what combining an image generator with CLIP is able to do. CLIP Paper Explanation Video by Yannic Kilcher: CLIP paper explanation.
![pixel art text generator pixel art text generator](https://clipartcraft.com/images/transparent-text-generator-animated-9.png)
DALL-E Explained by Charlie Snell: Great DALL-E explanations from the basics.The Illustrated VQGAN by LJ Miranda: Explanation on VQGAN with great illustrations.But if you want a deeper explanation on VQGAN, CLIP, or DALL-E, you can refer to these amazing resources that I found. I won’t discuss the inner working of VQGAN or CLIP here as it’s not the focus of this article. This is done throughout many iterations until the generator learns to produce more “accurate” images. The VQGAN model generates images while CLIP guides the process.