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15 seconds. Zero dialogue. Maximum adrenaline. From rooftop sprints to a high speed harbor rendezvous every frame was crafted to feel like the opening scene of a blockbuster spy film grounded cinematic and intensely realistic. Powered by Seedance 2.0 on GoCrazyAI. Try it here : Prompt ⬇️

21,510 Aufrufe • vor 1 Monat •via X (Twitter)

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Video generated by Seedance 2.0 on Lart AI Try it there 👇🏻 Prompt 10-Second Cinematic Timeline Prompt — "The Train Escape" 0–2s | The Robbery A crowded 19th-century train station during golden hour. A masked thief steals a mysterious black briefcase and runs toward a departing steam train. Crowds scatter in panic. Cinematic lighting, realistic motion, dramatic atmosphere. Camera: Wide establishing shot → handheld chase shot. --- 2–4s | The Pursuit A fearless young female detective wearing a black trench coat sprints after the thief through the crowded platform, jumping over luggage carts and avoiding passengers. Steam fills the air as the train begins moving. Dialogue: "Stop! Drop the case!" Camera: Dynamic tracking shot with cinematic motion blur. --- 4–6s | The Leap The thief jumps onto the moving steam train. The detective runs at full speed and leaps onto the train moments before it leaves the station. Sparks fly from the tracks. Camera: Slow-motion side tracking shot transitioning to normal speed. --- 6–8s | The Fight On the roof of the speeding train, the detective and thief engage in an intense hand-to-hand fight. Strong wind blows their clothes as steam and sparks surround them. Mountains rush past in the background. Camera: Fast cinematic action shots with dramatic close-ups. --- 8–10s | The Victory The detective defeats the thief, recovers the briefcase, and stands on top of the speeding train as the sun sets behind distant mountains. The thief lies defeated. Camera: Epic wide aerial shot slowly pulling back. Atmosphere: Heroic, cinematic, action movie ending, ultra-realistic, 4K.

Stacy Lee 🇺🇸

22,899 Aufrufe • vor 1 Monat

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

14,015 Aufrufe • vor 1 Monat