How AI Turns Random Noise into Breathtaking Images?

Intuitive Explanation of the Tech Behind DALL-E, Midjourney, and Stable Diffusion

Diffusion models are a type of generative AI used to create realistic and coherent output, especially images.

These models are particularly effective for tasks like

• Generating realistic images
• Generating images from text prompts
• Inpainting to repair missing sections of an image
• Outpainting to extend the boundaries of an existing image while still maintaining image consistency
• Denoising to enhance image quality by removing noise

What is a Generative model?

An AI Generative model learns patterns from extensive training data, such as images or texts. Once it masters these patterns during the training phase, the model starts from random noise to generate new content that resembles but is not identical to the original data.

For example, a Generative AI model trained on thousands of animal photos can create new, realistic images of unseen animals. Similarly, it can compose music in a specific style if it has been trained on a large collection of music of that genre.

Examples of generative AI models include ChatGPT, DALL-E, Gemini Pro, and Llama, which…