Examples of Generated Images
Neural networks powered by artificial intelligence offer users the ability to create new images from scratch. By simply specifying a theme and style, one can generate a picture. Many online services have established themselves as powerful tools for creative tasks involving image generation. Let’s explore examples of AI-generated images and understand what to consider when working with such tools. Where Images Are Typically Generated Specialized online platforms are used for image generation. Some services offer free access, while many require a paid subscription for full-featured versions. These systems work based on machine learning models, capable of creating original, realistic images or photos in just a few seconds using text prompts.
One of the most popular image generation services is MidJourney. The service generates images in various styles and genres. Interaction occurs in a Discord chat bot, where the user provides a prompt and receives a drawing based on the input data.
The program DALL-E, developed by OpenAI, uses ChatGPT to interpret prompts. The system understands users well and produces images that precisely match the requests. Through this service, one can create both abstract works and realistic photos with fictitious faces that are indistinguishable from real ones.
Another popular neural network, Stable Diffusion, is an AI model for converting text into images. Along with the ability to create detailed and visually appealing images based on descriptions, the program can fill in missing parts of an image, change formats, and expand dimensions. The tool is available with a free trial period for new users. How It Works Examples of generated images can better illustrate the operation of online services:
- Prompt: Depict a metropolis with bright neon lights and tall buildings. The image should be in a futuristic style.
Result:
- Prompt: Paint a picturesque landscape of nature with vibrant colors, depicting tropical trees and wild animals in their natural habitat. The painting should include a river and tropical birds.
Result:
- Prompt: Generate a portrait in a realistic style of a historical figure in the Baroque style, incorporating the main features of Baroque art with detailed clothing and interior.
Result:
- Prompt: Create a realistic photo - a portrait of an elderly woman with long hair, looking into the camera and smiling. The photo should be black and white in a vintage style.
Result:
Beyond standard requests, users often experiment with more complex and creative ideas to explore the boundaries of the neural network’s capabilities. Generating images based on stylistic intersections allows for interesting combinations.
Imagine, for example, what a robot might look like in the style of Japanese calligraphy. Better yet, pose this question to the neural network; the result might surprise you. Many AI-generated images have gone viral and become real memes. For instance, the Pope on a skateboard, a gamer diaper, or the streets of Paris covered in garbage. But it is important to remember that behind each generated drawing is a user’s creative idea. Conclusion Neural networks are still far from creating true masterpieces of painting. Even a student from an art school can produce more interesting and plausible paintings. However, examples of generated images demonstrate just how flexible and diverse the outcomes of neural network work can be. Today, anyone can use platforms to generate images of varying complexity, from simple drawings to works of art.
Using AI to create images opens opportunities for artists, marketers, designers, and creative professionals. This process has become accessible thanks to the development of artificial intelligence technologies and their adaptation to creative tasks. It is essential to understand that to achieve desired results, one must articulate requests correctly and use the latest versions of online platforms.
