Image generators are used in a variety of fields, including art, science, and engineering. In art, image generators can be used to create digital art, such as computer-generated 3D models or 2D images. In science, image generators can be used to create simulations or models of real-world phenomena, such as the behavior of particles in a plasma. In engineering, image generators can be used to create designs for products or structures.
Image generators are not limited to creating images from scratch. They can also be used to modify existing images. For example, an image generator can be used to add color to a black-and-white image or to remove blemishes from a digital photo.
Image generators can be used for both personal and commercial purposes. Many image generators are available for free on the Internet, while others are available for purchase.
Suraj Patil, Pedro Cuenca, Nathan Lambert, and Patric von Platen create great image generator. You can find the paper here. In this tutorial, I will show you how you can use it. Please read about license here.
In this tutorial, we will use Google Colab. This platform allows using good GPU. To do it you have to click Runtime, then change Runtime type, and choose GPU.
In the beginning we are going to connect our Google Colab with our Google Drive, to do that use
When you run this command, you will be able to log in to your disc.
Now, we have to install all the needed requirements, we will do it with pip. If you want to see logs, please remove > /dev/null 2>&1
If everything is fine we can move to the next step and connect by a token with Hugging Face. Just create an account and create a token (Settings -> Access Tokens -> New token).
We are almost ready to create an image!
If you want to create more than one photo I recommend do create a new folder.
We should also create a pipe
Finally, we can create images. We will create it with a prompt, that will be used in the loop to create N-images.
There are serval arguments such as:
height, width - size of generated image
num_inference_steps - number of generation steps
More information you can find here
If your purpose is to create images with the shape 300x300px you can generate images with bigger resolution and then resize them.
In the end, you can copy your folder to your Google Drive.
