Cloudinary has added another AI-driven image manipulation feature to Programmable Media: Generative Replace. <\/p>\n\n\n\n
Currently in beta, Generative Replace<\/a> harnesses the capabilities of natural language prompts and generative AI to detect and replace objects in images. The best part? It does this through Programmable Media’s powerful transformation API. <\/p>\n\n\n\n With potential applications in content moderation, photography touch-ups, and color removal, Generative Replace adds another dimension to Cloudinary’s suite of generative features that includes Generative Fill<\/a> and Generative Remove<\/a>. Like these other two tools, Generative Replace drastically reduces the time spent on tedious and labor-intensive image editing tasks at scale.<\/p>\n\n\n\n Try out Generative Replace and other cutting edge features at our new\u00a0Generative AI Playground<\/a>.<\/p>\n\n\n\n Like Generative Remove and Fill, Generative Replace utilizes open-set object detection and diffusion models to identify objects within images. However, instead of simply removing the detected object and inpainting the surrounding area, Generative Replace takes it a step further by using generative AI to intelligently fill the cleared space with an object based on a natural language prompt provided by the user. Let’s take a look at some live examples of the tool in action.<\/p>\n\n\n\n Generative Replace is called via the Here we replace the cookies in the original image with a cupcake with simple to\/from prompts:<\/p>\n\n\n\nHow Generative Replace Works <\/h2>\n\n\n\n
Examples<\/h2>\n\n\n\n
gen_replace<\/code> or e_gen_replace<\/a><\/code> transformation effect. Start by calling e_gen_replace<\/code>, then use the to: and from: prompts to choose the object to remove and what to replace it with.<\/p>\n\n\n\nReplacing Using Simple Prompts<\/h3>\n\n\n\n