Infosys Certified Generative AI Professional: What Type of AI Models are Stable Diffusion, DALL-E 2, and Imagen?

Stable Diffusion, DALL-E 2, and Imagen are all examples of generative AI image models known as diffusion models. Learn how these cutting-edge AI systems create realistic images from text descriptions.

Question

Stable diffusion, DALL.E2, Imagen are all examples of _______ models

A. Generative AI Text
B. Image diffusion
C. Generative AI Image
D. Video generation

Answer

C. Generative AI Image

Explanation

Stable Diffusion, DALL-E 2, and Imagen are all examples of generative AI image models, not generative AI text models or video generation models. More specifically, they are a type of generative AI image model known as diffusion models.

Diffusion models are a class of deep learning models that learn to gradually denoise an input signal, such as random noise, into a meaningful output like an image. They are trained on large datasets of images and their corresponding text descriptions. Given a text prompt, these models can then generate novel photorealistic images matching that description by denoising a noisy input through an iterative refinement process.

While there are other types of generative AI image models like GANs (Generative Adversarial Networks), diffusion models have emerged as the new state-of-the-art in high-quality image generation in recent years. Stable Diffusion, DALL-E 2, and Imagen are three of the most prominent and impressive examples that have garnered significant attention for their ability to create highly detailed and realistic images from arbitrary text inputs.

So in summary, the correct answer is C. Generative AI Image. These models use diffusion-based approaches to generate images, not text or video.

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