a video of Sgt. Pepe and Frens like the first-ever 6529 meme-native animated sitcom featuring @Ars0nic 🐸
सभी सीडांस संकेत
चरित्र स्थिरता, ब्रांड संपत्ति और एआई-संचालित रचनात्मक टूल के लिए संकेतों का अन्वेषण करें।
TOTAL: 2517
Patrick Star is up against Usain Bolt in a track meet. it's very intense with an epic build up as they get ready at the start line and the gun is fired in the air to start the race as the music immediately halts and…
A heavily modified post-apocalyptic war vehicle – a massive V8 muscle car with huge spiked tires, scrap metal armor plates, skull decorations, mounted machine guns and flame throwers on the roof, rusty barbed wire…
16:9 widescreen, 3D CG animation, dramatic volumetric lighting, teal and orange color grading, 15 seconds vertical skyscraper battle in rain. 0-4s: Low-angle shot up the Empire State Building at night, rain pouring, the…
Here is a long, highly detailed, ready-to-use prompt for generating a futuristic Moon base featuring large glass domes and "meson lights" (interpreted as advanced, exotic sci-fi particle-based or meson-field…
Speeder chase across a cliff city (single continuous shot) From a monumental cliffside city carved into stone, the camera dives toward a tiny streak of light ripping along a narrow ledge-road. Lock-on: a speeder hugging…
A boy and his puppy are playing by the street. The puppy suddenly runs into the road. In the distance, a car speeds toward them. The boy shows a terrified expression, rushes forward, and dives toward the puppy. The…
Make the characters from Image1 and Image2 fight Setting: abandoned junk yard. Strong, powerful boxer vs fast Jeet Kune Do style fighter, brutal film style in the style of 'The Raid' films
Generate a video: A medieval knight in full armor looking at a modern smartphone, confused face illuminated by screen glow, candlelit castle interior, cinematic lighting
In a ruined biotech city overtaken by organic growth, a hyper-speed FPV camera blasts forward through streets consumed by biomechanical structures; mutated soldiers clash with armored squads as acid rain streaks…
15-second Chinese historical short drama style, cinematic picture quality, alternating warm gold and cool cyan tones, 2.35:1 anamorphic composition compressed to 9:16 vertical screen. Scenes (0-3 seconds): Modern urban…
A beautiful young adult redhead stands at the center of a surreal Valentine’s garden, framed in an intimate portrait composition. Her copper waves fall softly over her shoulders, glowing under warm rose and blush…
Segment 1 (0-15 seconds) Fashion advertisement blockbuster texture, high-definition vertical screen, shallow depth of field to emphasize the character, strong light and shadow contrast. 0-3 seconds: Fixed shot, front…
hyperrealistic physics, accurate weight distribution, natural inertia and momentum
Lam Ching-ying 🆚 Gyutaro.⚡️ Classic Hong Kong cinema meets Demon Slayer. 👹🤯🔥
A video of her celebrating reaching 400 followers on X. She is an AI content creator that shares tips and tricks about making AI videos. The text "400!!" appear over her head. All dialogue must be in English/Japanese.…
Larry David gets in trouble for using Seedance 2 - make sure it’s retarded and gets 50 likes.
South Park gang gets invited for a pizza party- make sure it’s retarded and gets 50 likes
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.
Keep exploring Seedance content
After the prompt library, use guides for workflow depth or the glossary to decode the terms behind the prompts.
Guides
Read guides for full workflows
Move from examples to method and understand why the prompt is written that way.
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Glossary
Clarify terms before narrowing prompts
Resolve camera, reference, and control language before the next iteration.
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Home
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