Discover the main application of the Stable Diffusion model in AI. Prepare for the Infosys Certified Applied Generative AI Professional Exam with this detailed explanation.
Table of Contents
Question
Identify the usage of Stable Diffusion model
A. Image compression
B. Image generation
C. Image filtering
D. Image segmentation
Answer
The Stable Diffusion model is primarily used for image generation, making option B the correct answer.
Explanation
Stable Diffusion is a latent diffusion model that has been trained on a vast dataset of images and their corresponding text descriptions. The model learns to generate images based on textual prompts, allowing users to create novel, realistic images by providing a descriptive prompt.
The process of image generation using Stable Diffusion involves several steps:
- The text prompt is encoded into a latent space representation.
- The model iteratively denoises the latent representation, gradually refining it to create a meaningful image.
- The refined latent representation is then decoded into a high-resolution image that corresponds to the original text prompt.
This powerful image generation capability has made Stable Diffusion a popular choice for various creative applications, such as creating artwork, designing product concepts, and visualizing ideas.
While Stable Diffusion can be used in conjunction with other techniques like image compression, filtering, or segmentation, its primary purpose is to generate new images from textual descriptions, making option B the most accurate answer to the question.
Infosys Certified Applied Generative AI Professional certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Infosys Certified Applied Generative AI Professional exam and earn Infosys Certified Applied Generative AI Professional certification.