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Instructional dance poster prompt

Generates a 16-step grid-based instructional poster for dance sequences in a minimalist monochrome style.

This is a gpt-image-2 prompt case for Graphic & Poster. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

Create a simple black and white teaching poster showcasing a lesson by a {argument name="dancer" default="female dancers"} Performance{argument name="steps" default="16 steps"} Dance sequence. Layout: 4x4 grid (16 panels total). Each panel displays a full-body shot of the same dancer in different poses, centered and evenly spaced, with consistent composition across all panels. Dancer: Female, with flowing long hair, wearing a fitted, reflective/sequined cropped top and a long flared skirt; poses are elegant, confident, and expressive, inspired by {argument name="dance style" default="Vogue 和 Waacking"} Dance Style Panel Details: Each panel features a bold number (1–16) and a short title at the top (e.g., “WATER CALL,” “LIQUID RISE,” “VOGUE FRAME,” etc.). Short instructional text is added at the bottom of each panel. Subtle arrows and movement lines are added to indicate movement direction (arms, hips, body flow). Style: Black and white (monochrome). High contrast, sharp studio lighting, fashion magazine photography feel. Clean white or light gray background. Modern sans-serif font. Overall feel: Minimalist, sophisticated, magazine-quality typography. Smooth transitions between movements across 16 panels. Dynamic and concise, easy-to-follow instructional design.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

3
Variable
dancer
Default
female dancers
Variable
steps
Default
16 steps
Variable
dance style
Default
Vogue 和 Waacking

Reuse and source notes

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Where does this case come from?

This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.