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Dynamic Awa Odori Night Scene preview image
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gpt-image-2 case人像角色Image to Image1 ref

Dynamic Awa Odori Night Scene

This prompt turns a reference parade photo into a more energetic nighttime Awa Odori dance image, useful for creating cinematic festival visuals from a static source.

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.

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Prompt

Copy-ready prompt

Using the provided reference images, transform the dancers in the foreground into a more dynamic, cinematic nighttime Awa Odori festival scene. Retain the same pink kimonos, straw hats, and overall festival characteristics, but adjust the poses to lively dance movements: one foot steps forward, the skirt and sleeves fluttering, and the arms raised expressively. Recompose the shot into a more compact, low-angle street shot centered on the lead dancer, adding dancers in the same formation behind her to enhance depth and dynamism. Change the background from a wide parade to a brightly lit festival street, complete with warm paper lanterns, glowing stalls, and clearly visible vertical signs that include the Japanese phrase "Awa Odori." Emphasize the dynamic, vibrant, and warm nighttime atmosphere, presenting a realistic festival effect with vivid light and shadow, shallow depth of field, and exquisite detail.

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Reuse and source notes

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  1. 1.Copy the prompt or open it directly in Dovoo with the generation button.
  2. 2.Adjust variables, aspect ratio, and reference images for your own use case.
  3. 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.

Can I use this prompt commercially?

Commercial-use status is unknown. Review the original source, license, brand constraints, and legal requirements before paid usage.

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.