Tang Dynasty Lady Cinematic Video AI Image Prompt
Tang Dynasty noble lady, elegant and dignified, gentle and refined, Eastern classical beauty, delicate and exquisite, high-end cinematic feel, realistic portrait texture, 8K ultra HD, masterful camera movement, delicate skin texture, soft lighting, full atmosphere. Costume: open-front robe with large sleeves, Tang Dynasty chest-high ruqun skirt, flowing gauze, flowing pibo shawl, heavy embroidery, ombre gradient fabric, draped skirt hem, ancient-style patterns, elegant colors, ethereal. Body and temperament: graceful posture, curvaceous, well-proportioned, smooth and flowing lines, lithe figure, light and stretched dance posture, gentle temperament, dignified and elegant, classical charm. Scene: Tang-style interior, classical carving, ancient-style soft furnishings, warm soft light, Chinese aesthetics, ancient-style setting. Actions: 1. 0-2s: Stand with feet slightly apart, lower center of gravity, lightly raise and open arms, slowly tilt body to the side with rhythm, pibo flows naturally. 2. 2-4s: Shift center forward, step forward, gracefully turn upper body, gently sway hips with rhythm. 3. 4-6s: Slowly lower arms from top, circle wrists, slightly lean back then return, smooth and graceful lines. 4. 6-8s: Side step with small steps, alternately raise and lower arms, light and fluid movements, highlight body curves. 5. 8-10s: Final pose, one foot forward, gracefully spread arms, raise head and chest, gentle and elegant temperament. Model 2.0 Fast, aspect ratio 9:16, duration 10s.
Content: Structure: subject (Tang noble lady) + style (cinematic, ultra HD) + costume (Tang chest-high ruqun, embroidery, gradient) + body/temperament (elegant, gentle) + scene (Tang interior) + actions (segmented, 2s each) + parameters (Model 2.0 Fast, 9:16, 10s).
Pros: Detailed action segmentation for frame control; rich visual elements.
Cons: Action description too complex, may exceed model capacity; no camera movement specified.
Reference image: No obvious reference-image dependency
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