Young male runway walk in multiple scenes AI Image Prompt
Generate a vertical 9:16 8K high-definition video. The model is a young male aged 24-28 with fixed facial features: standard oval face, clear and sharp jawline, fair and translucent skin; straight thick eyebrows, natural double eyelids, dark brown pupils, gentle and bright eyes; high nose bridge, refreshing lip shape, neutral and calm expression. Fixed hairstyle: black Korean side-part short hair, voluminous and textured on top, naturally parted bangs, neat and tidy sides. Fixed body type: approximately 180cm tall, standard symmetrical lean build, broad shoulders and narrow waist, straight shoulders, taut waist and abdominal lines, long limbs, upright and relaxed posture, well-proportioned overall, with a fresh and elegant young mature temperament. The video content is a front-facing runway walk in various scenes: shopping mall, city street, tourist attraction, park stroll, and residential community. From 1 to 4 seconds, wear the clothes from the first picture and walk forward; from 4 to 6 seconds, wear the clothes from the second picture and walk while drinking coffee; from 7 to 9 seconds, wear the clothes from the third picture and walk while holding a DSLR camera; from 9 to 11 seconds, wear the clothes from the fourth picture and talk on the phone; from 12 to 13 seconds, wear new clothes, turn around, walk back forward while holding a glass of red wine high, flick hair, check phone, put down hand, and walk forward. The character occupies a large proportion in the frame: vertically about 65%-75% of the frame height, horizontally about 40%-50% of the frame width, positioned in the center area. The movements are smooth and fluid, with smooth camera motion.
Content: Subject (young male with fixed facial, hairstyle, body features) + scene list (mall, street, etc.) + timeline actions (clothing changes per second) + composition (centered, 65%-75% height, 40%-50% width) + camera motion (smooth)
Pros: Precise details, clear timeline actions for controlled generation
Cons: Heavily relies on reference images; complex timeline may complicate generation
Reference image: Clearly relies on reference images
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