Diffusion Models
Diffusion models are a kind of generative model that means they generate new data based on the training data. It uses an approach to generate high-quality images by iteratively reducing noises in the image. This technique is based on iteratively adding noise to an image and gradually removing the noise in order to unveil the desired image. The model operates through a sequence of steps where noise levels decrease over time, revealing a more refined image. This model is specifically known for its ability to generate high-quality images.
Essentially, the Diffusion model starts with an initial image that serves as a starting point and then incrementally starts adding Gaussian Noise to the initial image across multiple steps until it becomes total noise (As shown above image noise is gradually added to the cat’s image).
Then each step of the diffusion process decreases the intensity or level of added noise in the image. After completing all the steps of noise addition and reduction, an inversion process takes place. That reverses the diffusion steps, starting from the image with noise, the model reconstructs the original, high-quality image.
The main aim of the model is to minimize the difference between the generated image by the model and the actual image provided. The iterative noise reduction process of Diffusion Models facilitates the image creation with fine details and sharp features. And the best thing is these models are versatile and can be scaled to handle high-resolution images. Famous image-generation AI tools like DALL-E2, Midjourney & Stable Diffusion are based on this algorithm.
How does an AI Model generate Images?
We all are living in an era of Artificial Intelligence and have felt its impact. There are numerous AI tools for various purposes ranging from Text Generation to image Generation to Video Generation to many more things. You must have used text-to-image models like Dall-E3, Stable Diffusion, MidJourney, etc. And it might be that you’re fascinated with their image-generation capabilities as they can generate realistic images of non-existent objects or can enhance existing images. They can convert your imagination into an image in a matter of seconds. But how?
In this article, we are going to explore how all these TTM models have this kind of imagination that can generate images that they’ve never seen.
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