Generative AI refers to a type of artificial intelligence that can generate new content without explicit programming. It uses machine learning algorithms to analyze datasets and create new content like images, music, text, and video. Generative AI has many uses, including content creation, data augmentation, simulation, personalization, and predictive analysis. Generative Adversarial Networks (GANs) and Stable Diffusion are two popular methods used in generative AI. GANs use two neural networks to generate new content, while Stable Diffusion gradually generates an image from noise. The article also provides examples of how generative AI can be used to generate product images through techniques like background in-painting and color augmentation. However, generative AI has limitations and may require manual intervention and fine-grained control to achieve desired results.
https://www.datature.io/blog/how-to-build-your-own-ai-generated-image-with-controlnet-and-stable-diffusion