Two-image facial feature transfer, cute expression, watermark cleanup AI Image Prompt
Use the first image as the base image, keeping the original 9:16 aspect ratio, the person's pose, clothing, hairstyle, accessories, background, and overall lighting unchanged; naturally transfer the facial features of the person in the second image onto the face of the person in the first image, generating a cute, endearing expression with lively eyes and a slight smile, matching the facial angle to the pose of the person in the first image, with natural blending of skin tone, lighting, shadows, and edges; thoroughly remove all watermarks, text, logos, and residual traces from the image, and repair background and clothing details obscured by watermarks, making the image clean and complete.
Content: Structure is dual-image: image one as base locking 9:16 ratio, pose, clothing, hairstyle, accessories, background and lighting; image two supplies facial features to transfer, plus expression, angle matching, skin-tone, lighting, shadow and edge blending; finally remove watermarks, text, logos and repair occluded details.
Pros: Clear division between preserved and replaced elements; covers blending and watermark cleanup for practical execution.
Cons: No requirements for image two's angle, clarity or lighting, risking poor blending; doing face transfer and watermark repair together is demanding.
Reference image: Clearly reference-image dependent: image one is the base and image two provides facial features.
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