AIGraphy: Image to Advetisement

Since e-commerce is growing so quickly, excellent product photography is now crucial for High-quality product photography has become crucial for influencing consumer purchasing decisions as e-commerce has grown rapidly. Traditional photography techniques, however, are frequently expensive and time-consuming, which prevents small firms from using them and makes them difficult for larger corporations with dynamic product catalogues. This study investigates the use of generative artificial intelligence (AI) models to improve and automate product photography, providing a scalable and reasonably priced substitute. Using three essential models: ControlNet for regulated image alteration, Stable Diffusion with inpainting capabilities for backdrop generation, and Segment Anything Model (SAM) for accurate segmentation. According to our research, AI-driven product photography is a feasible answer to the demands of contemporary e-commerce since it can generate excellent images on par with conventional techniques. Our research shows that AI-driven product photography can create images of the same caliber as conventional techniques, which makes it a good option for today's e-commerce requirements. Establishing the groundwork for future research into automated, AI-based product photography and its potential to transform the production of visual content in online retail is the goal of this project.