Seedance 2.0 Prompt: Mechanical Bird Self-Assembly Cinematic Video
AIライフハック
Verified AI CreatorDescription
Witness a magical mechanical bird's rapid self-assembly on a sunlit desk. Polished silver and brass, with glowing core and stained-glass wings.
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video template
A 15-second cinematic video.
On an old wooden desk in a bright sunlit room filled with clear morning light, a magical mechanical bird is created through rapid self-assembly.
The bird is visually striking: polished silver and brass body, luminous blue core, jewel-like eyes, and translucent stained-glass wings.
Keep the story simple: fast assembly, vivid awakening, dramatic flight.
Small metal parts, gears, and glowing fragments swirl through the air and snap together into the bird in a beautiful time-lapse-like sequence.
Its core begins to pulse, its eyes light up, and its wings spread open with energy.
Then it bursts upward, scattering dust and sparkling particles, and flies quickly toward a large bright window.
Use energetic cinematic camera movement: overhead assembly shot, extreme macro details, sudden push-in, short orbit, low-angle rise, and a dramatic final pull-back to a wide shot filled with sunlight.
Bright clear morning sunlight, airy atmosphere, clean highlights, crisp reflections, vivid light, elegant motion, strong visual impact, no text, no logo.
The room should feel bright and fresh, not dark, not cloudy, not gray or muted.
No background music. Sound effects only.
Result
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Generations consume standard token rates depending on model specifications.
Prompt Specifications
Model Engine
bytedance/seedance-2.0
Output Format
1080x1080 •
15s
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.
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preview, model engine, output configuration, and testing workflow.