Text to image AI creators, also known as generative adversarial networks (GANs), are a type of artificial intelligence that can create realistic images based on text descriptions.
Here’s how they work:
The AI is trained on a large dataset of images and their corresponding text descriptions. For example, the AI might be trained on a dataset of pictures of dogs and their descriptions, such as “a brown and white Labrador retriever sitting in a grassy field.”
Once the AI has been trained on this dataset, it can generate new images based on text descriptions. The user inputs a description of the image they want the AI to create, and the AI generates a new image that matches that description.
The AI does this by generating a random image and then refining it to match the text description. It does this by comparing the generated image to the text description and adjusting the image until it matches the description as closely as possible.
The AI also uses a technique called “adversarial training,” where it pits two neural networks against each other. One network generates the images, and the other network evaluates them to see if they are realistic. The generator network learns to create more realistic images by trying to fool the evaluator network into thinking they are real.
Overall, text to image AI creators are a fascinating and rapidly advancing technology that can be used for a wide range of applications, from creating realistic images of objects that don’t exist yet to helping people with visual impairments to “see” the world around them.
Here are some examples of what you can achieve with https://www.bing.com/create As an experiment, I used AI to generate the image descriptions. The concept of using artificial intelligence (AI) to generate descriptions of images that don’t exist is called “text-to-image synthesis” or “image captioning.” It involves training an AI model to analyze and understand visual content, and then generate a written description of the image. I think you’ll agree, the results are interesting! I’ve included the exact prompt I used in the caption under each image.
