Seedance 2.0 Prompt: Glamorous Woman Eats Cheeseburger at Soccer Match
Arcane Ai
Verified AI CreatorDescription
Seedance 2.0 prompt for a cinematic, broadcast-style video: A glamorous woman eating a cheeseburger in a packed soccer stadium with live score graphics.
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video template
“Ultra-realistic static image of a sports broadcast of a glamorous woman sitting in the crowd of a packed soccer stadium during a nighttime match, wearing a sleeveless high-neck satin top in dark brown and square black earrings, light brown/blonde shoulder-length hair styled in soft waves. She is casually drinking from a tall blue aluminum can while holding a half-eaten cheeseburger in the other hand. Around her are fans with soccer jerseys and scarves in bright yellow and blue, creating a strong team color contrast. The scene feels spontaneous and cinematic, captured mid-match from the angle of a TV broadcast camera with shallow depth of field. Include realistic stadium seats, packed audience atmosphere, overlaid broadcast graphics in the upper left corner showing a live soccer score and match timer, and a sports network watermark in the upper right. Natural arena lighting, detailed skin texture, sharp focus on the woman, slightly blurred background crowd, authentic live sports broadcast aesthetic, 16:9 composition”
Result
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Generations consume standard token rates depending on model specifications.
Prompt Specifications
Model Engine
bytedance/seedance-2.0
Output Format
854x480 •
8s
Verified Prompt FAQ
This prompt is used to generate AI video content with a ready-made technical structure,
model configuration, and reference image support. It helps creators test visual ideas faster
without building every prompt from scratch.
Yes. Upload your reference images inside the Prompt Tester panel on the right, then run the
generation test to preview how the prompt performs with your own visual direction.
Yes. This prompt is listed as a Synterial verified showcase prompt and includes its official
preview, model engine, output configuration, and testing workflow.