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Image to Image AI · 10 tools
Compare image-to-image AI tools that turn a photo into new styles, art, and variations — from style transfer and sketch-to-render to img2img editing and restyling.
Image-to-image AI takes an existing picture as input and generates a new one from it, guided by a text prompt or a reference image. Unlike text-to-image, which starts from a blank canvas, it keeps the composition, pose, or structure of your source and changes style, detail, or content. Common jobs include style transfer, turning a sketch into a render, restyling a photo, and swapping or extending parts of an image.
Repaint a photo in an art style while keeping its original layout and subject.
Turn rough sketches into polished renders and explore many variations quickly.
Inpaint to remove objects, fix details, or extend a scene with outpainting.
Restage product shots and generate on-brand image variations at scale.
Most tools use a diffusion model that adds noise to your source image and then denoises it toward your prompt, so a low strength keeps more of the original and a high strength changes more. Add-ons like ControlNet, depth, or pose maps lock in structure such as edges or a subject's posture. Inpainting limits the change to a masked region, leaving the rest of the image untouched.