Seedance 2.0 Prompt: Cinematic Gothic Vampire Reveal
Aaliyah | AI
Verified AI CreatorDescription
Experience a gothic vampire reveal generated with a Seedance 2.0 prompt, featuring a slow vertical dolly, dramatic lighting, and a sinister smile.
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video template
Dark gothic alley at night, wet brick wall and rain-soaked pavement reflecting a dim street lamp. Heavy fog drifts slowly through the alley. A pale elegant vampire woman in a long black coat and dark red dress leans against the wall, motionless and mysterious. Cinematic horror lighting, dramatic shadows, shallow depth of field, ultra-realistic, 35mm film look, film grain, volumetric fog.
The camera begins at her black leather boots and performs a slow cinematic vertical dolly shot upward, moving smoothly from her feet → legs → waist → shoulders → lips → eyes. Suspense builds as the camera rises.
When the camera reaches her face, she slowly tilts her head and gives a cold villain smile. Her long sharp vampire fangs slide into view, fresh blood dripping slowly from the tips. Her eyes glow subtly in the darkness.
She whispers softly: “Welcome to the night…”
Immediately after, she lets out a quiet sinister villain laugh as the fog thickens and the lighting darkens.
The scene begins to slowly fade to black, while the camera continues pushing forward into an extreme close-up, zooming closer and closer until the camera enters her mouth, ending in darkness.
Style keywords: cinematic horror, gothic vampire, slow camera movement, dramatic lighting, suspenseful, photorealistic, moody atmosphere, shallow depth of field, film grain, volumetric fog.
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 •
10s
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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