
Glass Shard Dance Action Portrait
A high-action photography prompt featuring a street dancer whose body disintegrates into glass shards, maintaining facial consistency from a reference image.
This is a gpt-image-2 prompt case for 人像角色. 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.
Prompt
Copy-ready prompt
Hyperrealistic dynamic dance portrait of a female street dancer performing energetic hip-hop moves, captured in a minimalist studio against a clean, off-white background. Please use the exact same face and features as the reference image; do not alter them. She is wearing {argument name="outfit color" default="Fresh green"} A cropped athletic top, loose black sweatpants, colorful high-top sneakers, and blue wristbands. A strong urban dance aesthetic, characterized by dramatic body postures, intense athletic energy, and a still-motion photography style. Parts of her body explosively disintegrate into thousands of floating {argument name="shards material" default="glassy fragments"} Reflective metallic fragments and crystalline particles scatter in the air, creating realistic debris physics and cinematic motion blur. The image is sharply focused on the face and torso, with ultra-fine skin pores, realistic fabric textures, dynamic lighting with soft studio shadows, high contrast, modern VFX-style composition, reflective floating fragments, photorealistic 8K masterpiece, cinematic realism, ultra-detailed action scenes, depth of field effects, and a high-end fashion sports magazine-quality feel.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
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Reuse and source notes
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- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
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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.