Image Generator: Harnessing Stable Diffusion

Image Generator: Harnessing Stable Diffusion

J Ramesh1, P Amulya2, K Bhavani3, D Jahnavi4, N Sathwik5

1Electronics and communication ,jyothishmathi institute of technology and science

2Electronics and communication ,jyothishmathi institute of technology and science

3Electronics and communication ,jyothishmathi institute of technology and science

4Electronics and communication ,jyothishmathi institute of technology and science

5Electronics and communication ,jyothishmathi institute of technology and science

Abstract - Recent advancements in artificial intelligence have significantly improved the ability to create realistic images from text descriptions. This project presents "Stable Diffusion," a cutting-edge text-to-image generation model that produces photorealistic visuals through a distinctive iterative refinement technique. The model begins with a noise-filled image and progressively adjusts it to match the given textual prompt. This method, known as text-to-image synthesis, automates the creation of images based on input text. The process iterates until the output converges, ultimately generating high-quality images that accurately reflect the original description.

Key Words: Artificial Intelligence ,Text-to-Image Synthesis ,Stable Diffusion, Photorealistic, Image Generation, Iterative Refinement, Noise Image, Text Prompt, Automatic Generation, Convergence, High-Quality Images