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Dunhuang Dance 'Flying to Heaven' Action Breakdown Poster

Dunhuang Dance 'Flying to Heaven' Action Breakdown Poster AI Image Prompt

Prompt

Classical Beauty Dunhuang Dance "Flying to Heaven" Action Breakdown Poster Generate a high-quality 16-grid action breakdown poster for "Dunhuang Dance 'Flying to Heaven'". Core requirements: - Layout: 4x4 square grid with 16 cells, each corresponding to a continuous dance step numbered 1-16, following the original choreography logic of the Dunhuang dance. - Aesthetic: Not a generic instructional chart, but a cinematic storyboard poster with a Dunhuang mural atmosphere, elegant classical style, and visual impact. - Character: Features a classical and elegant beauty (gentle features, slender build, graceful aura), remaining consistent across all cells without character swaps. - Style: Dunhuang dance style, capturing the spirit of "Flying Apsaras" with flowing ribbons, graceful postures, and the original choreography's core movements like lifts, waist twists, and sleeve throws. - Costume: Classical Dunhuang Flying Apsaras attire in nude and camel tones with gold and stone-blue patterns (clouds, floral scrolls), using lightweight airy fabrics (gauze/chiffon) with traditional headpieces and ribbons. - Background: Mural-style background in earthy yellows and ochres, incorporating textures, auspicious clouds, and silhouettes with soft warm lighting to highlight the dancer. - Content per cell: Large step number, Chinese action title (dance terminology), concise Chinese key points, and trajectory arrows for ribbon and body movement. - Overall effect: Refined, consistent, and sophisticated, combining a tutorial feel with classical poster art and historical mural aesthetics.

AI Image Content Analysis

Content: Structure: 16-grid layout + Dunhuang dance style + consistent character + costume/background details + per-cell content (number, title, key points, trajectory). A composite action breakdown poster prompt.

Pros: Clear structure, rich details, easy for AI to understand multi-level requirements.

Cons: Too many constraints may reduce flexibility and success rate; high demand for character consistency across cells.

Reference image: No obvious reference-image dependency

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