What is img2img ?

img2img, short for image-to-image, is a fundamental AI generation technique that allows users to create new images based on existing ones. Instead of generating images purely from text prompts like traditional text-to-image models, img2img takes an input image and transforms it according to user instructions, maintaining varying degrees of similarity to the original depending on the settings used. The process works by using the input image as a foundation that guides the AI's generation process. Users can control how closely the output resembles the original through a parameter called denoising strength or similar controls. A lower strength preserves more of the original image's structure and details, while higher values allow for more creative freedom and dramatic transformations. This makes img2img incredibly versatile for tasks ranging from subtle edits to complete artistic reimaginings. img2img has become essential in modern AI workflows because it bridges the gap between full creative control and AI assistance. Artists and creators use it to iterate on concepts, apply different artistic styles to existing work, enhance image quality, or explore variations of a composition without starting from zero. The technique is particularly valuable when you have a rough sketch, reference photo, or existing artwork that you want to refine or transform. Practical applications of img2img span numerous creative and professional fields. Designers use it to quickly generate multiple style variations of a logo or illustration. Photographers employ it to apply artistic effects or enhance images beyond traditional editing. Game developers and filmmakers utilize img2img for concept art iteration and visual development. The technology has democratized advanced image manipulation, making sophisticated transformations accessible to users without extensive technical skills or traditional editing expertise.