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How to Artificial Intelligence with Create Images

Creating images with artificial intelligence using the Google search engine is one of the latest developments that has occurred recently, as artificial intelligence has become one of the most famous advanced tech on which many uses in various fields depend. Google has tried to integrate generative AI into its services, including its search engine.

Creating images with artificial intelligence using the Google search engine

These technologies have drawn the attention of millions of users worldwide to the enormous capabilities that artificial intelligence has, which qualifies it to do many amazing things. Google has launched the Generative Search Experience (SGE) feature to enable the search engine to give instant responses to any text prompts entered by the user instead of relying on traditional search results.

You may now have a question: How do I make an image with artificial intelligence? We will answer this question in the following lines. After Google launched the (SGE) feature, there were many developments in this feature and it now allows images to be created from just texts written on the Google search engine. Follow the explanation.

Create images through Google search

The first beta version of the Generative Search Experience "Sge" tool was launched by Google in mid-2023, specifically in May, when this tool was added to the Google search engine to become available to a limited number of users within the United States, and then it became available in a larger number of countries. However, the tool is still subject to constant updates and new functions are added.

Google's Generative Search Experience tool is still only available to users who are at least 18 years old, in a limited number of countries including the United States. Therefore, if you are in any of the Arab countries, you may need to use a VPN application such as ExpressVPN to overcome these geographical restrictions.

If you want to create an image using artificial intelligence through the Google search engine, you must activate the Generative Search Experience (SGE) feature in Google, by opening the Google Chrome browser or the Google application on your phone or tablet, logging in to your Google account, and then Go to labs. google/Sge and click on the “Get started” button, then on the next page activate the SGE, generative AI in Search feature.

What is the generative search experience in Google Search?

The generative search experience is a tool enhanced by artificial intelligence that uses what is known as the large language model to provide answers to the requests and searches that the user conducts on the Google search engine directly on the search page. The tool also provides querying and searching operations in a conversational mode similar to the use of artificial intelligence bots, which provides the user with suggested modifications to the query phrase to improve search results and allows him to modify the query phrase without redirecting him to the original query.

The tool can also suggest some tips to users to help improve search results.

Google recently developed the tool's capabilities and functionality to allow the search engine to generate images based on prompts, text queries, or descriptive phrases entered by the user. The creative tool creates up to four images that appear in search results for a single claim or query. The user can click on the image, and then edit the description to add more details to the image and obtain more accurate results.

Knowing that many artificial intelligence models dedicated to creating and generating images, such as MidJorney and DALL-E, have preceded Google in this field, however, adding this new feature to the Google search engine makes it easier and makes the technology accessible to a larger number of users.

AI image creation using Google search

You can now start creating AI images using the Google search engine. All you have to do is go to the search engine home page. In the search field, write the description of the image you want, but in English. You can start by typing the word "create", "draw", or "generate" followed by a description of the image you want to create using AI, then press enter when you're done.

Now, Google will display on the search results page four images generated using artificial intelligence based on the text description you just entered, and you can click on any of the four images to view it in an enlarged mode. It is worth noting that the images do not contain a watermark as other image generators do, and the tool will not generate images containing the faces of known people or even realistic faces in any way to avoid ethical concerns.

When enlarging any image, you can click the “Edit” button to edit the text description to change the image or add more details to the image. When you get a satisfactory result, you can download the image to your device or share it via cloud storage services such as Google Drive by pressing the “Export” button, then selecting the “Download” option if you want to download the image to your device, or clicking “Google Drive.” If you want to save the image on Google Drive cloud storage servers.

Images created by the Google search engine are marked with a watermark as proof that they are created by artificial intelligence, and are accompanied by a text description. Google also sets some controls for images that can be obtained using the generative artificial intelligence tool in the Google search engine. For example, it is not allowed to create Images that are considered harmful or misleading. The Generative Search Experience tool is currently only available to users residing in the United States of America, and it only responds to queries and prompts written in the English language only, but it is expected that Google will expand the geographical scope of using this feature to include other countries shortly, and it is expected Also add more languages to it.

Google and artificial intelligence

Google is working to develop and adopt artificial intelligence technologies in various aspects of its work and products. In the following list, we mention some examples of how Google uses artificial intelligence:

1. Search engine: Google uses artificial intelligence techniques to improve search results and provide a better experience for users. AI models are trained to understand queries and analyze content on the web to provide accurate and diverse results.
2. Google Translate: Google’s automatic translation service uses artificial intelligence and machine learning techniques to improve the accuracy of translation between different languages.
3. Artificial intelligence in images: Google uses artificial intelligence techniques to improve the classification and naming of images and recognize objects and objects in images. It is also working on developing techniques for generating realistic images with artificial intelligence, as I mentioned in the previous answer.
4. Machine learning: Google provides tools and platforms for machine learning and developing artificial intelligence models, such as TensorFlow, which is an open-source framework that helps build artificial intelligence models.
5. Robots and artificial intelligence: Google is also working on developing robots and experimenting with using artificial intelligence techniques in their learning and interaction with the environment and humans.

We mentioned in the previous list some examples of how Google uses artificial intelligence, how Google uses artificial intelligence technologies and the development and adoption of artificial intelligence technologies.

Image creation with artificial intelligence

AI image generation technology refers to the use of deep models and algorithms to generate new images based on knowledge learned from a large set of real images. This technology uses deep neural networks, such as generative networks known as “GANs,” to generate realistic images that look like they were created by humans.

The AI image generation process involves steps such as training on a large set of real images to extract patterns and information from them, and then using these patterns to generate new images. The quality of the images generated depends on the quality and diversity of the dataset on which the model is trained, as well as the AI technology used and the complexity of the model itself.

AI image creation technology has multiple applications, including improving the quality of low-resolution images, generating new artistic images, beautifying images, imagining designs and scenes that never existed in reality, manipulating backgrounds and elements in images, and many more.

Google uses artificial intelligence to create images

Google already uses artificial intelligence to generate and create images. Google has introduced innovative technologies in this field, and its products take advantage of the advanced capabilities of artificial intelligence in generating images. Here are some examples:

1. Google applications for photo editing: Google provides applications such as “Google Photos” and “Snapseed” that use artificial intelligence techniques to improve and modify images. These apps can improve color balance, sharpen details, enhance lighting, apply artistic effects, and more.
2. Developing realistic images: Google is working to improve techniques for generating realistic images with artificial intelligence. The company uses deep neural networks and automatic generation algorithms to generate realistic images that closely resemble real photos.
3. Improving image quality: Google is also working on using artificial intelligence to improve the quality of low-resolution images. Deep models can enhance and enlarge images at higher resolution and restore lost details.
4. Enhance animations: Google uses artificial intelligence techniques to enhance and improve animations. The company uses deep modeling to improve the quality of animation and redraw it at a higher resolution.

Google has introduced innovative techniques in using artificial intelligence and is taking advantage of the advanced capabilities of artificial intelligence in generating images.

The methods followed by Google in creating images with artificial intelligence

Google uses artificial intelligence to create images by applying a set of advanced methods and technologies, such as:

1. Data collection: The first step that Google takes is to collect a large group of real, high-quality images. These images are used as a dataset to train deep models.
2. Model training: Google uses deep neural networks, such as generative networks (GANs), to train models on the collected data set. These models are learned from real images to extract patterns and information from them.
3. Image generation: After training the models, they can be used to generate new images. The model is provided with random or reference input signals to generate different images based on the patterns the model has learned from the data set.
4. Enhancement and modification: After images are generated, they can be enhanced and modified using additional techniques. Google uses artificial intelligence to improve the quality, and sharpness of detail and refine the generated images.
5. Continuous evaluation and improvement: Google evaluates the generated results and the models and algorithms are constantly being improved. They use techniques such as deep learning and readable learning to improve the quality of images and make them more realistic.

Google has tended to apply a set of advanced methods and techniques in creating images. This was based on steps starting from data collection, through training models on the collected data set, generating and improving images, to constantly evaluating and improving the quality of the images and making them realistic.

Features of Google AI-generated images

Google uses advanced technologies and takes advantage of the amazing capabilities of artificial intelligence in generating and improving the quality of images. It has many features including:

1. High quality: Google images generated by artificial intelligence have high quality and fine details. Advanced technologies are used to improve image quality and remove noise and artifacts.
2. Improving lighting and colors: Google uses artificial intelligence to improve color balance and adjust lighting in photos. The image is automatically adjusted to achieve perfect color balance and balanced lighting.
3. Enhance details: Artificial intelligence can enhance the details in the image and make it clearer and more realistic. It can restore lost details and effectively improve image sharpness.
4. Correction of distortions and defects: Google uses artificial intelligence to correct distortions and defects in images. Optical distortion, such as geometric or lens distortion, can be corrected and unwanted chromatic aberrations or shadows reduced.
5. Adding artistic effects: Artificial intelligence can add artistic effects to images, such as converting images into drawings or artistic paintings in different styles. You can apply effects that resemble oil paintings, and cartoon effects, or convert images to black and white.

It is worth noting that Google is constantly working to develop new technologies and improve the methods used in creating images with artificial intelligence to achieve better results and more high-quality and realistic images.

Conclusion: In conclusion, we can say that artificial intelligence has today become one of the most famous advanced technologies on which many uses in all fields are based. As we mentioned, the technology of creating images, and the methods followed by Google in generating artificial intelligence images using the Google search engine, are among the latest development processes that have occurred recently, and in the end, I wish all the site’s followers success and lasting success.

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