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No. A high-resolution scan is not required, although a clearer source image usually provides more visual information for restoration. You can also use a well-lit smartphone photo of an old print. For better results, keep the image in focus, avoid glare and strong shadows, and capture as much of the original photo detail as possible.

It can, especially when the original face is very small, blurry, damaged, or partly missing. Use prompts to tell Kling which facial features, expressions, hairstyle, clothing, and other details should remain recognizable. If you have additional photos of the same person, adding them as references can provide more visual information for the restoration.

Yes. AI photo restoration can create colorized versions of black-and-white photos by analyzing visual context and generating color details based on the scene, subjects, and overall image style. With Kling AI, you can use prompts to guide the desired look and create a more personalized colorization result. Because original colors are usually unavailable, AI colorization should be viewed as an interpretation based on visual information rather than a guaranteed historical reconstruction.