Video prompt

A Library Transforms into a Universe of Stars

A short Spanish prompt where a young woman opens a mysterious book and the old library turns into a universe of stars, made with Kling 4.0.

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PromptA Library Transforms into a Universe of Stars
Kling 4.0

How to use this prompt

  1. Copy the full prompt above.
  2. Open a platform that supports Kling 4.0, such as Wizstar, and paste the prompt in.
  3. Swap the subject, style, or details to fit your idea, then generate.

This is a free AI prompt from Wizstar's Kling 4.0 prompt library. Explore more video prompts, all free to copy and adapt.

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Five Cinematic Tests of Portraits Coffee Watches Cars and Dance

@sebatheepan· 15.7K

Cinematic medium shot of @[Your Reference Asset] walking through a bustling outdoor spice market in Marrakech at golden hour. Warm sunlight catches the side of the face, realistic skin texture with visible pores and natural micro-expressions. The subject pauses, turns slightly toward the camera, and exhales softly. Shallow depth of field, 50mm anamorphic lens.Close-up 35mm cinematic shot of a barista slowly pouring steamed oat milk from a stainless steel pitcher into a ceramic flat white mug. A crisp rosetta latte art pattern emerges smoothly on the crema surface. Fluid dynamics with natural liquid tension, no morphing, no spills, soft morning backlight hitting the rising steam. Macro profile shot: A watchmaker using fine steel tweezers to place a tiny brass gear into the exposed mechanical balance wheel of a luxury wristwatch. Steady hand movement, macro depth of field, sharp metallic reflections, gear teeth meshing cleanly into the mechanism, dust particles floating in the studio light. Dynamic continuous tracking shot: The camera orbits 180 degrees around a cyber-coupe driving through a rain-slicked Tokyo alleyway at night, transitioning from a low front-bumper angle to a high rear-quarter view. Neon reflections stretch across wet asphalt and chrome body panels. Anamorphic lens flare, photorealistic rain streaks, cinematic 24fps motion blur. Full-body dynamic tracking shot of a contemporary dancer performing an explosive turn in a dimly lit concrete warehouse. Wearing a flowing, heavy silk crimson cape that billows and folds aerodynamically around the body. Dramatic volumetric spotlight from above, high-speed shutter look, crisp textile weave, physical weight and drape without clipping through limbs.

Replace Person Described By Position And Clothing With The Man

@make_influencer· 7.1K

replace [person described by position and clothing] with the man in the image. keep his exact motion, gestures, mouth movement and timing. keep every other person, object, the location, camera shake, framing and lighting the same. no text. kling 3.0 omni (cheaper, about $0.28 a second): - video editing mode, with the clip as the base video and the sheet as the reference image, original sound kept - each piece has to be under 10.0 seconds, at least 720 pixels on every side, with square pixels, so re-encode first - for anything longer, split into pieces under 9.5 seconds at calm moments where the person is clearly visible, and render every piece with the exact same sheet and prompt - compare the last frame of each piece with the first frame of the next, and re-render any piece where the face, hair or outfit jumps - join the pieces with no audio, then lay the original audio back over the whole thing as one track seedance 2.5 (premium, about $0.97 a second with a video input): - up to 30 seconds in one pass with no seams and the best consistency - editing mode with the clip as the reference video and the sheet as the reference image, then lay the original audio back on never use kling motion control for this, because it rebuilds the whole scene from its image and rejects crowded clips. never use gemini omni edit mode either, because it blocks any video with a real person in it </render> <check> - make a contact sheet of the finished video and look at every frame - re-render once if the signature feature morphs, anyone except the target changes, text appears that wasn't there, or hands melt at a key moment - never do more than 2 render attempts without asking me </check> <post> - caption in my language, deadpan, in character, under 6 words, never explaining the joke - tag the person replaced and the original creator, because that's how the original artist ends up seeing it - turn on instagram's ai label for the post and the profile, since unlabelled ai accounts lose reach - fresh clips go out while the original is still inside its week, and evergreen clips go out at the account's best hour - first comment from the account is "follow for more" or the catchphrase - never launch or promote a token, and never imply the original person endorsed the character </post> <learn> - log every post with the lane, scores, render option, cost, and plays at 24 and 72 hours - the next time you run, scrape the account first and fill those columns in - after 10 posts, compare plays against each score and each lane, shift the weighting toward whatever actually predicted views, and write down what changed </learn> <honesty> - only put numbers on screen or in captions that you scraped or measured - mark anything you guessed rather than measured - if no clip passes the gate today, say so instead of forcing a weak one </honesty> <deliverables> - the final mp4 at the source resolution, with the original audio - the reference sheet - a short note on why this clip won and why the runners-up lost - the caption, tags and posting time - total spend, and anything a human should still check </deliverables> ```

Replace The Dog With The Small Dinosaur From The

@shikoba_86· 3.5K

Replace the dog with the small dinosaur from the reference image. It runs, catches the yellow ball in its mouth and drops it at Friend B's feet, with the same path, timing and actions as the dog. Friend B pets it in the last shot. Keep everything else unchanged.

Apartment Turning into an Underwater World VFX Breakdown

@onofumi_AI· 1.6K

A dramatic before/after VFX breakdown, one continuous 10-second locked-off shot of a small plain white studio apartment in daylight: a young woman sits on a chair in the middle of the room reading a book, beige carpet, white walls, a window. The camera never moves and the woman keeps reading, turning a page, the whole time. A thin bright lime vertical wipe line, rendered as a flat 2D screen overlay with a small round lime handle, travels horizontally across the frame; everything on the side the line has already passed changes to the next stage, the other side keeps the previous stage, and the room geometry stays perfectly aligned. Stage 1 (0-2s): raw footage, ordinary empty white room. Stage 2 (2-4s, line sweeps left to right): the room becomes untextured matte grey clay: grey clay coral shapes, grey clay whale and fish models floating in the air, flat grey light. Stage 3 (4-7s, line sweeps right to left): final composite, the whole room is now deep underwater: turquoise water fills the space with god rays from the window, vivid coral reef grows over the floor and walls, a huge humpback whale swims slowly past behind her, schools of bright tropical fish swirl around, bubbles rise, her hair floats gently while she keeps reading calmly. 7-9s: the line sweeps quickly back and forth once, flashing between the plain white room and the underwater world to compare them. 9-10s: the line exits, full underwater shot holds. The before and after are extremely different. Photorealistic, cinematic, clean VFX breakdown style.

Female Android Awakening in a Robotics Laboratory

@Alin_Reaper05· 1.2K

Ultra-realistic cinematic close-up of an elegant female android awakening inside a sterile futuristic laboratory, intricate chrome machinery unfolding around her skull like mechanical petals, dozens of articulated robotic arms reconnecting cables and neural interfaces, tiny red status lights pulsing beneath translucent skin, her glowing crimson eyes slowly focusing on the camera, subtle breathing motion, micro facial expressions, hydraulic pistons moving naturally, camera slowly dollies forward while orbiting around her face, shallow depth of field, realistic reflections on polished metal, volumetric laboratory haze, physically accurate motion, seamless mechanical animation, high-end sci-fi film realism 😉

Coastal Image Keyframe Transformation

@shikoba_86· 1.1K

Use the start image as the exact opening frame and preserve the identity of the coastal location: the rocky shoreline, narrow sandy beach, curved dirt path on the right, calm bay, wooden posts in the foreground water, small pier in the distance, and the large rock wall on the far side of the cove.Build a multi-shot scene that begins in quiet stillness and then pushes the same location into its opposite extreme. Opening: the sea is calm, the air is still, and the scene feels cold and quiet at dusk. Then the weather begins to shift. Wind rises across the shoreline. The water becomes rougher. Dark storm clouds roll in over the bay. Rain begins falling and waves crash harder against the rocks and beach. From the sea, a monstrous humanoid figure slowly emerges from the stormy water. It first appears at a distance, partially obscured by rain, sea spray and waves, then continues walking toward the shore with heavy deliberate steps. Structure the scene as a multishot sequence: 1. Wide establishing shot of the calm coast. 2. Environmental shot as the storm takes over. 3. Medium-long shot of the figure appearing from the sea. 4. Closer dramatic shot as the creature walks through the waves. 5. Final wide or medium-wide shot as it approaches the beach. Keep the geography of the original location coherent throughout the sequence. Sound: rising wind, distant thunder, rain, crashing waves and heavy water movement around the creature. No background music. No captions.

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