Martian Storm Sci-Fi Mystery: Seedance 2.0 Prompt Showcase
Nawal
Verified AI CreatorDescription
Experience an epic Martian sci-fi mystery. An astronaut discovers ancient alien ruins and technology amidst a violent sandstorm in ultra-cinematic realism.
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A cinematic sci-fi mystery set during a violent Martian sandstorm.
0–3s: A lone astronaut struggles across the red Martian desert during a massive sandstorm. Visibility is low, winds howl violently, and warning alerts flicker inside the helmet HUD.
3–6s: Lightning flashes through the storm, briefly revealing enormous ancient stone structures buried beneath the sand. The astronaut stops in shock as glowing alien symbols begin illuminating under the dust.
6–9s: The explorer enters a gigantic hidden temple doorway carved into a mountain. Massive pillars rise into darkness while strange blue energy pulses through the walls. Footsteps echo in silence.
9–12s: Deep inside the temple, an enormous floating artifact activates as the astronaut approaches. Ancient holographic star maps appear in the air showing galaxies, Earth, and unknown civilizations.
12–15s: Final cinematic shot — the astronaut stands before a colossal glowing alien throne while the storm outside clears, revealing the full ancient city hidden beneath Mars for thousands of years.
Style: ultra cinematic realism, epic sci-fi mystery atmosphere, realistic space suit detail, volumetric lighting, glowing alien technology, massive environmental scale, atmospheric sand effects, film-grade color grading, Dune + Interstellar inspired visuals.
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 •
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.