15-second stylized comic-pop animation, retro halftone texture, bold outlines, vibrant colors, front windshield view of a red car interior. Light, playful background music throughout (bouncy, cheeky tone with soft drums…
सभी सीडांस संकेत
चरित्र स्थिरता, ब्रांड संपत्ति और एआई-संचालित रचनात्मक टूल के लिए संकेतों का अन्वेषण करें।
TOTAL: 2517
A lone ancient tree stands in the middle of a vast, slowly urbanizing landscape. Golden hour lighting, soft cinematic tones. A calm, deep narrator voice begins: “For over 300 years… it has watched everything change.”…
A vlog-style video of a young Asian woman with long dark wavy hair and bangs, wearing white silk pajamas, sitting in a cozy bedroom. She is holding up an open jar of 'Aqua Bloom' moisturizer. Speaking enthusiastically…
A cinematic 15-second fitness transformation video about weight loss and healthy lifestyle. Scene 1 (0-4s): Overweight young man sitting on a couch late at night, eating junk food, looking tired and unmotivated, dim…
Create a 4K cinematic rugby storyboard from tackle to try with dramatic stadium lighting and broadcast style. Start with a slow-motion midfield tackle—mud and turf flying—then transition into a fast counterattack with…
Scene 1 prompt: Use the attached storyboard sheet as the primary source of truth. @ Image1 Create a 15-second cinematic scene exactly following the timing, shots, and dialogue from the sheet. Characters: Indian man and…
A photorealistic video sequence captures a young boy with messy orange hair and thick-framed glasses, as seen in image_0.png, image_1.png, and other source frames. He is dressed in a black basketball jersey and matching…
Create a 15-second ultra-realistic cinematic football freestyle video using image_1 as the main character, strictly following the 16-step sequence from image_2. CHARACTER (VERY IMPORTANT): A young adult man, athletic…
Cinematic 15-second video showing a young person in a dark room scrolling endlessly on their phone, bored and distracted, soft blue light from the screen lighting their face, slow motion, realistic style. Scene…
Scene 1 (0-4s): Evening urban street, soft dusk lighting, shallow depth of field. Girl walking alone, suddenly stops. Across the street stands an identical version of her, staring directly. Subtle glitch effect,…
Generate a high-quality cinematic 15-second vertical video (9:16) of a teenage female street basketball player performing a smooth freestyle routine on an outdoor court. She has a slim athletic build, light tan skin,…
Subject: Downhill Mountain Bike Race Style: Hyper-realistic, Action Adventure, GoPro first-person/chase cam aesthetic. Action: A high-intensity downhill race following a lead pack of elderly cyclists. They speed down a…
Two alien playing chess, the first align cheat, the second alien slaps him and tells him to stop cheating
A sleek white tube of facial cream labeled "Citrus Glow" standing upright on a glossy lemon-cream surface, surrounded by dynamic splashes of lemon juice and floating lemon slices. Above, a half lemon is being squeezed…
Scene 1 (0–4s): Warm evening atmosphere at a cozy street restaurant. The girl sits with her friends, laughing softly while finishing dinner. Ambient lights glow, plates and drinks on the table. CameYra slowly pans,…
Visual Style: Vibrant 3D animation, exaggerated squash-and-stretch physics, and cinematic lighting. Time Scene Description Camera Movement 0-3s A tiny, sophisticated Hamster in a high-tech harness lowers from a ceiling…
Cinematic super-speed cooking commercial, Flash-style kitchen action comedy aesthetic, high-energy dynamic mood with playful twist. Shot on ARRI Alexa Mini LF with 24mm wide and 50mm lens, shallow depth of field,…
A young parkour runner, athletic build, sweat dripping, jaw clenched, eyes scanning every path ahead Sprints across rooftops at full speed, jumping impossible gaps and sliding under obstacles while being chased closely…
How to use this prompt library
This page is meant to be a reusable Seedance prompt library, not a pile of isolated cards. Start with an example close to your target output, then compare how subject, camera, motion, and references are written before you rewrite anything.
1. Start from the closest output
Pick the example nearest to the visual result you want and inspect which subject, camera, and mood phrases are carrying the outcome.
2. Change one variable at a time
When iterating, adjust lighting, motion, emotion, or references one by one so you can see what actually changed.
3. Use guides and glossary for depth
If the prompt card is not enough, move into the guides for workflow and the glossary for control language.
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After the prompt library, use guides for workflow depth or the glossary to decode the terms behind the prompts.
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Read guides for full workflows
Move from examples to method and understand why the prompt is written that way.
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Clarify terms before narrowing prompts
Resolve camera, reference, and control language before the next iteration.
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