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Elegant New Chinese Qipao Portrait

Elegant New Chinese Qipao Portrait AI Image Prompt

Prompt

Use the face from the first image, keep facial features and face shape unchanged, remove all original accessories and background. Generate a gentle and elegant East Asian woman with a new Chinese-style high-end portrait. She wears a baby blue Xiangyunsha (silk gauze) fitted sleeveless qipao dress with a small stand collar and teardrop neckline, exquisite one-row button knots, fabric with excellent drape. Black hair styled in a Korean low bun, with a few strands of hair hanging down at the temples to soften the face. Wear silver ethnic-style tassel earrings, hold a blue iris flower slightly raised, petals natural and spread. Scene and lighting: white-gray-blue textured wall background with dappled plant shadows, warm soft light combined with side-backlight to create soft rim light and facial light spots, skin translucent and delicate, rich light and shadow layers. Makeup and texture: rosy beige atmosphere makeup, pink apricot matte lips, clear and natural eye makeup, gentle and affectionate eyes with a smile; overall high-end clear texture, commercial portrait quality, 32K ultra HD, extreme facial retouching details, fair and even skin tone, no limb deformities, elegant and relaxed posture, close-up composition, hyper-realistic portrait, remove watermark, natural expressions and actions, natural scene, no fake look, no AI traces. Original aspect ratio.

AI Image Content Analysis

Content: Subject (East Asian woman face from reference image), clothing (Xiangyunsha qipao), hairstyle (Korean low bun), accessories (silver earrings), prop (blue iris flower), scene (dappled light wall), lighting (warm soft + side-backlight), makeup (rosy beige atmosphere), texture (32K ultra HD commercial portrait), composition (close-up), ratio (original aspect).

Pros: Rich details, specific scene and lighting descriptions for consistent output.

Cons: Relies on reference image for face, may affect matching; prompt is lengthy, attention to keyword weights needed.

Reference image: Obvious reliance on reference image (use face from first image)

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