Shorts & Reels prompts for AI video

For AI agents: find the right skill in one call — curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>" returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the how-to page. From a terminal: curl -fsSL https://varg.ai/install | sh installs the vargai CLI (https://varg.ai/how-to/cli.md): vargai search and vargai install <slug> with no key, every varg model after vargai login.

27 viral prompts with results and 0 prompt skills for Shorts & Reels: tikTok, Instagram Reels and YouTube Shorts: faceless videos, clips, memes and viral formats.

Viral Shorts & Reels prompts with results (27)

Full prompts, verbatim from their authors, each with the model it ran on and the post's own result, best first (likes plus three times saves). Credit the author when you reuse one. Examples to remake, with varg's remake prompts, are on Shorts & Reels.

Dashcam clip: a Coke-and-Mentos geyser launches a man

First, lock the initial frame to a realistic one. I've used GPT Image 2.5 and the prompt below:

DIRECTIVE:
Produce one still that reads as a real in-car dashcam frame grabbed from a moving car on a highway. Optical dashcam capture, wide windshield view, windshield glass, A-pillar, a slice of dashboard/hood — lived-in dashcam JPEG, not cinema, not HDR.

BEAT / COMPOSITION:
Looking forward through the windshield. On the LEFT side of the road (left lane or left shoulder, clearly in frame): TWO branded trucks close together.

COCA-COLA TRUCK (LEFT, CRITICAL):
A full-size Coca-Cola tanker / delivery truck, official Coca-Cola red livery and logos readable. It has a breakdown: a torn ragged hole in the tank wall. A thick, heavy jet of dark-brown Coca-Cola is blasting out of that hole onto the asphalt — lots of liquid, puddle spreading, foam, spray in the air, wet road shine. The truck is stopped or crawling, hazard situation.

MENTOS TRUCK (BESIDE IT, CRITICAL):
Right next to the Coca-Cola truck (same left cluster, slightly ahead or alongside): a closed box truck / delivery truck with large, unmistakable MENTOS branding on the side (Mentos logo, candy rolls artwork). Rear and side doors CLOSED. No candy spilling. You can clearly read that it is a Mentos truck.

CAMERA PACK:
Fixed dashcam behind the windshield, slight barrel wide, dashboard or hood bottom of frame, windshield dirt/reflections, timestamp overlay optional, daytime road, other traffic farther ahead. Real consumer dashcam still.

LIGHT:
Daylight, overcast or sun, real road color, cola looking like dark soda not black oil.

PHOTOGRAPHIC CHARACTER:
Unstaged dashcam grab — physically grounded trucks, readable brands, the leak is the event.

Once it's ready, use it as reference for Seedance 2.5 and this prompt:

[STYLE + CAMERA + ATMOSPHERE]
Vertical 3:4 smartphone video filmed FROM INSIDE a moving car, passenger or driver seat. Phone held handheld (not a bolted dashcam): arms, slight breathing shake, windshield and A-pillar in frame, a slice of dashboard/hood at the bottom, maybe a finger edge. We are ARRIVING — forward motion first, trucks growing larger, then we slow and stop short of the cola lake. CONTINUOUS SINGLE TAKE the entire 30s. Digital pinch-zooms only (no cuts): punch into the Coke jet, the jug fill, the Mentos doors, the launch, then zoom out as he shrinks to the horizon. Daylight, overcast, wet asphalt, rain specks on glass. Consumer phone JPEG, autofocus hunting, rolling shutter. Photoreal live physics: cola viscosity, foam, Mentos cases, one adult body launched like a Mentos rocket.

LOCKED SET / VEHICLES:
- LEFT ahead through the windshield: red Coca-Cola tanker with a ragged hole, dark-brown Coca-Cola ALREADY blasting onto the lane, spreading cola lake.
- BESIDE it: Mentos box truck, rear doors CLOSED at arrival, Mentos livery readable ("mentos / The Freshmaker").
- Highway continuing past them toward a clear vanishing-point horizon.
- NO other truck for the guy. He does not exit a vehicle.

LOCKED CAST:
- THE GUY: one very large man alone — sweat-dark tank top, cargo shorts, stained baseball cap, Alabama redneck energy. No second person. He ENTERS FRAME FROM THE RIGHT (shoulder / right edge of the windshield view) already on foot — he does not get out of any truck, van, or car.
- HERO OBJECT: one giant gas-station plastic jug / Big Gulp–scale cup in his right hand. Starts EMPTY (daylight visible through clear plastic), stays in that hand until the blast.

Diegetic audio: road noise while arriving, cola hiss, gulping, metal latch, volcanic foam roar, Doppler scream as he flies away, phone mic clipping.

[IMAGE REFERENCES]
[ref_image] = locked opening phone still from inside the car looking through the windshield at the Coke tanker + Mentos truck cluster. Tanker, hole, cola jet, Mentos truck, and in-car foreground are LAW. Clip BEGINS with us still rolling toward that cluster.

[TIMELINE SECOND BY SECOND]

0-3s: [HOOK — ARRIVING + ZOOM] Phone already rolling. Road noise. Through the windshield the Coca-Cola tanker and Mentos truck are already ahead on the left; cola ALREADY jetting from the hole. We close distance — trucks grow. Digital zoom punches into the Coke stream and the hole. By ~2.5s brakes dip. Several events already: motion, the leak, closing in, first zoom.

3-5s: [STOP + HE ENTERS FROM RIGHT] We fully stop. Idle phone shake. Zoom out a notch. THE GUY walks INTO FRAME FROM THE RIGHT — already on foot from the shoulder / right edge, giant EMPTY jug held high, clear plastic with daylight through it. He does not exit any vehicle. He steps straight into the cola lake toward the tanker jet.

5-9s: [FILL — HOLD IT] He shoves the empty jug INTO the Coke stream. ONE CONTACT: jug into the jet. Phone slam-zooms the fill and HOLDS. For a clear ~2 full seconds (through ~7–8s) the jug is STILL filling under the blast — brown liquid climbing the plastic, foam boiling over the rim, overflowing his forearm, stream hammering the mouth of the jug the whole time. Only then does he pull the full heavy jug out and raise it.

9-12s: [CHUG] He tilts and CHUGS — huge gulps, cola down the tank top. Empties most of it, gasps, still holding the jug. Turns to the Mentos rear doors. Phone zooms out enough to keep tanker jet + Mentos bumper + him in frame.

12-16s: [OPEN + DUMP] ONE CONTACT: he yanks both Mentos rear doors open. Cases stacked high. He dumps a case — Mentos rolls cascade into the cola lake. Packs split, white mints into the brown river. Digital zoom on the mint waterfall hitting the puddle. He still stands in the lake with the jug.

16-20s: [IT GOES] Hard fizz, then a WHITE FOAM COLUMN erupts between the trucks. ONE CONTACT: the fountain hits him from below like a human Mentos rocket. Feet leave asphalt. Jug flies. He launches UP and AWAY down the highway axis. Phone slam-zooms his body leaving the ground, then struggles to track him.

20-24s: [HUMAN FOUNTAIN] He is a dark silhouette riding the white column, spinning once, cap gone. The geyser leans him toward the open highway horizon. Foam hits our windshield — phone jerks but stays inside the car, still filming through glass. Digital zoom hunting his shape in the spray.

24-26s: [SHRINKS] Zoom out through foam streaks on the glass. He is airborne over the far lanes, a tiny spinning figure on a white spray trail, Mentos truck hopping, tanker still feeding the column. Phone digital-zooms into the shrinking speck, then out again.

26-30s: [PAYOFF — GONE] He dwindles to a speck and DISAPPEARS into the horizon haze past the vanishing point (~1s earlier than before). Phone holds on empty sky/road where he vanished, foam still climbing between the trucks, Mentos doors still open, Coke still dumping. Final tiny digital zoom into that empty vanishing point. Loop-open: empty horizon, roar still going.

[STYLE & QUALITY BOOSTERS]
Photoreal handheld phone from inside a car, 3:4 vertical. Arriving motion then stop. Digital pinch-zooms only, continuous take. One man enters from the RIGHT on foot — never exits a vehicle. Empty jug fills on camera for a clear multi-second hold. Body launched to the vanishing point. Coherent liquid physics. Identity lock to [ref_image] for both trucks, the hole, and the in-car windshield framing.

30 s anime cooking short: katsudon step by step, ASMR

Create a 30-second fast-paced cinematic Japanese anime cooking video showing the preparation of authentic katsudon, entirely from the text description below.

IMPORTANT: Do not display, recreate, trace, reference, or imitate any storyboard, sketch, reference image, panel, annotation, or source material. Generate only original anime-style animation.

STYLE

High-quality Japanese anime film style, cinematic summer lighting, ultra-detailed food textures, realistic cooking physics, visible steam and moisture, shallow depth of field, macro close-ups, smooth camera movement, warm Japanese kitchen atmosphere. Fast rhythmic editing with natural match cuts based on movement, shape, texture, and composition.

TIMELINE

0–2.5s — Prepare Pork
Close-up of hands pounding a thick pork loin with a wooden mallet on a cutting board. The meat gradually flattens and its fibers loosen. Sprinkle salt and pepper evenly. Crisp rhythmic impacts.

2.5–5s — Bread the Pork
Quick match cuts: press the pork into flour, dip into beaten egg, then firmly coat with coarse panko breadcrumbs. Show realistic egg dripping and breadcrumbs adhering to the surface.

5–7.5s — Fry
Lower the breaded pork into hot golden oil. Intense bubbling surrounds the cutlet as the crust turns golden brown and crispy. Warm cinematic lighting and detailed oil movement.

7.5–9.5s — Slice
Place the fried tonkatsu on a wooden board. A sharp knife cuts it into even strips. The crispy crust cracks naturally, revealing juicy white pork with gentle steam escaping.

9.5–12s — Simmer Dashi & Onion
Thinly sliced onions gently simmer in amber dashi inside a shallow pan. Small bubbles rise while the onions become translucent. Chopsticks gently move them through the broth.

12–14s — Add Tonkatsu
Place the sliced tonkatsu carefully over the simmering onions using chopsticks. The broth begins soaking into the crispy edges while steam rises.

14–16.5s — Pour Egg
Slowly pour beaten golden egg over the tonkatsu and onions. The egg spreads naturally through the gaps and begins setting around the hot edges.

16.5–19s — Set the Egg
Close-up of the egg gently coagulating over low heat. Edges become soft and golden while the center remains glossy, slightly runny, and trembling. No stirring.

19–21s — Prepare Rice
A white ceramic donburi bowl receives a generous mound of steaming Japanese short-grain rice. The rice looks fluffy and slightly glossy.

21–24s — Assemble
Carefully slide the egg-and-tonkatsu mixture from the pan onto the rice. The egg settles naturally in a soft wave while dashi lightly absorbs into the rice.

24–26s — Final Close-Up
The finished katsudon rests on the counter. Glossy egg slowly settles over the tonkatsu and rice, gently trembling. Slow cinematic push-in.

26–30s — Hero Reveal
Present the finished katsudon in a traditional blue-and-white ceramic bowl on a wooden surface. Golden egg covers crispy tonkatsu over glossy rice, topped with fresh mitsuba. Steam rises as the camera slowly arcs around the bowl for a beautiful anime-food-film ending.

AUDIO

Bright 1980s-inspired Japanese city-pop instrumental, 110–120 BPM, with subtle koto and light chime percussion. Synchronize realistic ASMR cooking sounds: mallet impacts, knife slicing, frying sizzle, bubbling dashi, chopsticks, egg pouring, steam, and a soft ceramic clink.

End with one delicate wind-chime tone during the final reveal.

NEGATIVE

No storyboard, reference image, sketch, panels, borders, numbers, arrows, annotations, subtitles, captions, UI, logos, or text overlays. No unrelated ingredients or dishes. Katsudon only. Keep the food, hands, utensils, lighting, and environment visually consistent throughout.

Ordinary summer day in Seoul as a friend's home video

Create a 30-second, 1080p ultra-realistic documentary-style personal home video showing an ordinary summer day in the life of a young Korean man. The footage should feel spontaneous, intimate, imperfect, and genuinely observed rather than performed.
MAIN SUBJECT
The same young Korean man in his early 20s throughout the entire video.
Naturally handsome, realistic skin texture, minimal styling, relaxed expression, slightly tired but peaceful eyes.
He has naturally messy medium-length dark hair with a few strands falling over his forehead and very subtle stubble.
He wears a loose washed-black T-shirt, relaxed olive-beige trousers, worn white sneakers, and a simple silver wristwatch.
Keep his face, identity, body proportions, hairstyle, clothing, watch, and overall appearance completely consistent from beginning to end.
LOCATION
A quiet older residential neighborhood in Seoul during a warm summer afternoon.
Narrow concrete alleys, low-rise homes, rooftop terraces, external staircases, potted plants, laundry lines, parked bicycles, utility poles, overhead wires, mature trees, concrete walls, small residential courtyards, and distant city sounds.
The neighborhood should feel authentic and lived-in.
No crowds, tourist attractions, advertisements, recognizable brands, or commercial activity.
CAMERA / VISUAL STYLE
Authentic casual personal-video footage captured with an older consumer digital camera.
Handheld camera operated by a friend walking nearby.
Natural camera shake, imperfect framing, occasional autofocus changes, slight exposure adjustments when moving between sunlight and shade, soft image detail, mild motion blur, subtle digital noise, slightly muted colors, imperfect white balance, and natural compression.
The camera operator occasionally reacts a little late, cuts off part of the subject, or briefly loses focus.
No stabilization, gimbal movement, drone shots, cinematic camera choreography, dramatic lighting, slow motion, modern commercial color grading, or polished cinematography.
The footage should feel like someone simply decided to record his friend during an ordinary day.
---
00:00–00:05 — MORNING ROOFTOP
He sits casually on a small rooftop beside an old plastic chair.
A cold bottled drink rests beside him.
He looks quietly across the neighborhood while the wind moves his hair and T-shirt.
He takes a sip, notices something happening in the distance, and smiles faintly.
He briefly notices the camera and gives a subtle nod before looking away.
The camera takes a moment to find focus on his face.
---
00:05–00:10 — WALKING THROUGH THE ALLEY
He gets up and walks downstairs into the neighborhood.
He walks casually through a narrow concrete alley with his hands in his pockets.
He passes parked bicycles, potted plants, laundry hanging from balconies, and old residential walls.
The camera follows several steps behind him.
He occasionally looks back toward the camera but never deliberately poses.
His footsteps remain naturally synchronized with his movement.
---
00:10–00:14 — SMALL EVERYDAY MOMENT
He notices an old basketball resting near a wall.
He picks it up, casually bounces it twice, then takes a simple shot toward a nearby hoop.
The shot misses.
He laughs quietly, shakes his head, and leaves the ball where he found it.
The camera briefly loses focus during the movement and recovers naturally.
No exaggerated athletic movement.
---
00:14–00:19 — LOCAL SHOP
He walks to a tiny neighborhood shop and buys a cold drink.
He exchanges a few natural words with the shopkeeper but the conversation is not clearly audible.
He steps outside, opens the bottle, takes a drink, and leans casually against the wall.
He watches bicycles and pedestrians passing in the distance.
The camera remains handheld and slightly imperfect.
---
00:19–00:23 — SUMMER RAIN
A sudden summer shower begins.
He looks toward the sky with mild surprise.
Instead of immediately running for shelter, he smiles and slowly walks into the rain.
The rain becomes heavier.
His hair becomes wet and falls naturally across his forehead.
He eventually starts running down the alley, laughing genuinely.
He briefly spins around while running, then continues toward a covered walkway.
His clothes become visibly damp.
Maintain realistic rain interaction, wet fabric, wet hair, reflections, and foot contact with the ground.
---
00:23–00:27 — QUIET MOMENT
He reaches the covered walkway and catches his breath.
Rain falls heavily behind him.
He wipes water from his forehead and looks quietly toward the street.
For a moment, everything becomes still.
He notices the camera again.
He gives a small genuine smile, not a posed expression.
---
00:27–00:30 — WALKING AWAY
The rain becomes lighter.
He walks away down the wet residential lane.
The camera follows from behind.
Reflections shimmer across the concrete.
He turns his head once, gives a tiny wave toward the camera, smiles, and continues walking.
The camera remains pointed toward the empty street for a brief moment.
At approximately 00:29, the recording abruptly cuts to black mid-motion.
No fade-out.
---
PHYSICAL REALISM
Maintain believable real-world physics throughout.
Hands, fingers, feet, clothing, hair, rain, bottle, basketball, and background objects must behave naturally.
No extra fingers, fused hands, duplicated limbs, distorted anatomy, floating objects, teleportation, disappearing objects, or sudden transformations.
The bottle remains a separate physical object and never intersects with his face.
The basketball behaves naturally and remains where it lands.
Parked bicycles and background objects remain stationary unless physically moved.
His feet remain properly connected to the ground while walking and running.
Keep the environment and subject consistent between shots.
---
AUDIO
Natural environmental audio only.
Footsteps on concrete, distant traffic, birds, leaves moving in the wind, bicycles, faint neighborhood conversations, shop sounds, bottle opening, basketball bouncing, rain hitting concrete, water dripping from rooftops, and subtle camera-handling noise.
No music.
No narration.
No soundtrack.
No artificial sound effects.
No spoken dialogue is necessary.
---
FINAL FEEL
The result should feel like a forgotten personal recording of an ordinary summer day.
Not a commercial.
Not a fashion film.
Not a music video.
Not a professional cinematic production.
The emotional appeal should come from small human moments: sitting alone, wandering through familiar streets, missing a basketball shot, drinking something cold, getting caught in the rain, laughing, and walking home.
Quiet, masculine, youthful, nostalgic, slightly melancholic, warm, spontaneous, and deeply human.
Prioritize natural behavior, consistent identity, believable physics, imperfect handheld framing, authentic environmental details, and the feeling that the camera happened to be there.

Kurzgesagt-style 30 s explainer, drawn entirely in code

<inputs>
Ask me for: one topic as a "what if" question (default: "What if the Sun vanished?"), the length (default 30 seconds), and whether I have an ElevenLabs key (if not, use a free local voice).
</inputs>

<direction>
A Kurzgesagt-style animated explainer at 1920x1080, 30fps, drawn entirely in code: one 2D canvas plus one WebGL canvas for planets.
Space: a vertical gradient #081d2c to #102348, five huge parallax nebula blobs (teal rgb 24,150,160 at 20%, blue 40,95,195 at 16%, coral 220,95,110 at 10%, indigo 60,70,175 at 15%), three star layers at parallax depths .12/.35/.6 that twinkle, 40% of the near stars drawn as 4-point sparkles.
The Sun: radius 300px, half off the left edge. A radial gradient #fff7dc to #ffc857 to #ff8f4a with an offset highlight, additive halo rings at 1.23/1.48/1.76/2.1x the radius, 18 faint rotating ray wedges, 28 drifting glowing granules on its surface.
Earth: an orthographic sphere in a fragment shader, 4x supersampled, from a 2048x1024 map painted from longitude/latitude polygons: land #5fc47a, forest #48ad6b, desert #f5c75f, rainforest #3a9d62, ice #f1f8ff, ocean gradient #4dc7eb to #1a66b8, white capsule clouds. Tilt .26 rad, spin .55 degrees per second. Day/night uses smoothstep(-.12, .24, N·L) with the light direction recomputed from Sun to Earth every frame. Navy night side with ~380 warm city lights, a coral band on the terminator, a cyan rim, ocean specular, an atmosphere halo that is stronger on the lit side.
A small astronaut mascot (~180px) built from rounded rectangles: suit #f3f7fb, orange #ff8f4a boots, a visor gradient #1f5a73 to #0a1c2c with glowing cyan eyes that look at whatever matters, a blinking antenna light, an idle bob, squash and stretch on every pose.
Type: Fredoka 600/700 only. Captions in caps with 3-6px letter spacing in teal #8fd8e6, gold #ffd98a or white, sitting in rounded pills of rgb(6,20,40) at 62%. Every line of text rises 1.3x its own height through a clip on an ease-out-quint.
Finish: a vignette to rgba(4,4,20,.45) and a 6% film grain re-randomized 24 times per second.
Banned: outlines, flares or loops on the Sun's edge, static infographic strips, full stops in on-screen text, text that fades in whole, AI images or AI video, Kurzgesagt's own characters, bird or music.
</direction>

<structure>
30 seconds, every line of narration gets a camera move or a transformation, nothing ever holds still.
Tight on the Sun at 2.25x (0s) → on the word "vanished" it swells 6% for 0.22s, collapses in 0.33s, then a white flash and a shockwave ring (1s) → pull back to 1x revealing Earth still lit and the astronaut staring at the empty spot (1.6-3s) → on "eight" an 8:20 countdown slams in from 1.7x to 1x and starts ticking, a "LAST LIGHT" label rides the edge of the growing dark disc (3.2s) → dive to 2.3x on Earth with light streaks flowing in (5.6s) → on "you" a YOU pin drops (7s) → on "left" a photon lands on the pin with "THIS LIGHT LEFT THE SUN / 8 MIN 20 SEC AGO" (7.5s) → on "play" the pin morphs into a play button, "YOU PRESSED PLAY / 15 SEC AGO" (8.8s) → one pull-back from 2.4x to a 0.3x orbit view, "LAST LIGHT" and "GRAVITY" riding the ring (9.6-12.5s) → on "nothing" a dotted circle at the empty centre (13.4s) → on "hits" the darkness sweeps Earth in 0.7s, city lights pop on, the countdown turns gold at 0:00 (15.8s) → on "black" the background fades almost to black (17.4s) → Jupiter appears, "STILL SHINING FOR 1 HOUR+" (17.9s) → zoom out, a dashed tangent line, "30 KM/S" as Earth flies straight off (20.8s) → a thermometer counts 15 to -70°C while frost grows from the poles (22.8s) → a 0.8s rewind on a separate story clock (24.3s) → sunglasses drop onto the astronaut (25.2s) → a photon tagged "8:20 OLD", then the title (27.7s).
For any other topic, keep the same shape: the event happens on its word, pull back to show scale, dive in to make it personal ("you"), pull back out, the consequence with a live counter, an escalation, a funny beat with the mascot, a callback and the title.
</structure>

<build>
1. One HTML file. Every frame is a pure function of time: window.seek(t) draws frame t. No timers, no CSS animation.
2. Camera moves on easeInOutCubic, zoom is interpolated in log space, every pop is a damped spring (damping .42-.5, frequency 12-16).
3. Voice: ElevenLabs eleven_v4 with a designed voice (calm, warm, curious male, late 30s, crisp, light neutral European English), stability .5, similarity .75, generated with timestamps. Without a key, use kokoro-onnx locally and get word times with faster-whisper. Every animation event fires on its word. About 165 words per minute, 0.24s between sentences, a 0.36s beat before the big reveal.
4. The darkness front: any pixel within the front's radius from the Sun turns to night with a 30px soft edge. The front moves at ~47px/s and ramps to 700px/s near Earth.
5. Keep two clocks: ambient time for twinkle, spin and bob, and a separate story clock for events, so a rewind stays consistent.
6. Render with Playwright in headless Edge with the GPU: seek every frame at 30fps and blend 2 subframes (shutter 0.6) for motion blur, then encode with libx264 at CRF 16 for the master and CRF 20 for delivery.
7. Sound: a calm royalty-free space music bed 7dB under the voice, timed so its natural ending lands on the title, swelling 5dB under the title. One downloaded royalty-free sound effect per event kind (collapse, impact, pull-back whoosh, countdown tick, dive, pin tap, photon land, play click, light hit, reveal, frost, rewind), each peak-aligned to its frame and 4-10dB under the voice. Master with gain plus a limiter to -14 LUFS, -2.2dB true peak.
</build>

<gotchas>
Make the WebGL globe canvas at least 2 x radius x zoom x 1.18 pixels or the sphere clips flat in close-ups. Never draw prominences on the Sun's edge, they read as white hooks. Never pad the voice to fit the visuals, tighten the read instead. Speed the darkness front up near Earth or it takes 13 seconds to cross the planet. Show me a contact sheet of every beat before rendering.
</gotchas>

<start>
Ask me the inputs, write the narration with the beat each word triggers, show it to me, then build and render the video.
</start>

Turn any 16:9 video into a native 9:16 Short

Convert the original 16:9 horizontal video @(TAG THE VIDEO) into a native 9:16 vertical video.

Do NOT simply crop the original video. Intelligently reframe and extend/reconstruct the scene so the vertical composition feels like it was originally created in 9:16.

Preserve all important visual information, characters, actions, objects, background details, and story beats from the original horizontal video. Reposition elements naturally within the vertical frame when necessary so nothing important is cut off.

Keep the exact same characters, animation, actions, timing, camera movement, environment, lighting, colors, saturation, and visual style as the original video.

Maintain correct anatomy, object geometry, perspective, spatial relationships, and continuity. Newly generated areas outside the original frame must seamlessly match the existing environment.

Final result: 9:16 vertical, full-frame, naturally composed, no black bars, no stretched image, no important details cropped, and visually consistent with the original 16:9 video.

15 s animation in your pick of 35 art styles, via a skill

Use huashu-art-motion to make me a 15-second animation. The skill's docs are in Chinese; read them and talk to me in English.
1. First check for uv, ffmpeg and Playwright Chromium, and tell me how to install anything that's missing.
2. Ask me what it's about, who it's for, and whether it's landscape or portrait. From the material layer in references/风格配方/INDEX.md, pick 3 styles that fit, three-star ones first. Redesign the composition for my subject in all three, each different from the others, and don't copy the room from the samples. Show me one still frame of each to choose from.
3. Once I pick, give each scene one main action plus two motif loops from that style's card. For Van Gogh, that's the starry sky curling into swirls and the lamp's halo spreading outward. If there's music, use the skill's BPM synthesis and put the motion on the beat.
4. If people need to appear, ask me first: my own character art, frames from an image model, or only hands and figures seen from behind.
5. After rendering, follow the skill's own QA steps: run its QA script first, then send a subagent that took no part in making it to watch only the finished film and find problems, have it write its findings into the 审片/ folder, and deliver with its delivery script. If anything comes up red, fix it and re-render before giving it to me.

Husky meets two bunnies in the snow, 5-beat animal short

Create an ultra-realistic cinematic video of a beautiful black-and-white Siberian Husky with striking blue eyes exploring a snowy mountain landscape at sunset. The environment features pristine white snow, snow-covered pine trees, enormous snow-covered rocks, distant blue mountains, and warm golden sunlight illuminating the snow. Every animal must look completely realistic, with detailed fur, natural movements, and believable interactions.

SCENE 1 — THE HUSKY APPROACHES 
A beautiful black-and-white Siberian Husky walks slowly through deep, powdery snow. Its paws sink naturally into the snow, sending tiny snow particles into the air. The camera follows the dog from a low angle as it lowers its head and sniffs the ground curiously. Warm sunset light illuminates its fur.

SCENE 2 — SOMETHING MOVES 
The Husky suddenly notices movement near a large snow-covered rock. It stops, raises its head, and turns its blue eyes toward the rock. Its ears stand upright, and its nose twitches as it investigates. The camera smoothly moves closer to capture its curious expression.

SCENE 3 — THE SURPRISE 
A tiny, fluffy brown bunny cautiously peeks out from behind the rock. A second, smaller white bunny appears just behind it. Both rabbits have realistic fur, twitching noses, upright ears, and tiny paws. The Husky watches them with curiosity while maintaining a natural, relaxed posture.

SCENE 4 — THE ADORABLE MOMENT 
The brown bunny hops forward through the fresh snow, followed by the tiny white bunny. The Husky gently lowers its head toward them, sniffing the snow nearby. The rabbits pause and look toward the dog. Their contrasting sizes create a beautiful cinematic composition.

SCENE 5 — THE HEARTWARMING ENDING 
Both bunnies hop closer to the Husky. The dog remains calm and gently tilts its head, watching their movements with curious blue eyes. The camera slowly pulls back to reveal the three animals together in the glowing snowy landscape, surrounded by majestic mountains and warm sunset light.

🎥 Camera & Quality Instructions

Photorealistic animal fur, eyes, whiskers, paws, and facial expressions.

Natural animal anatomy and believable movement.

Smooth cinematic tracking shots with realistic depth of field.

Golden-hour lighting with cool blue shadows across the snow.

Realistic snow particles, pawprints, and subtle wind.

Natural ambient audio: soft winter wind, paws crunching in snow, and gentle rabbit movements.

No dialogue, text, subtitles, logos, or watermarks.

No cartoon appearance, artificial CGI look, distorted anatomy, duplicated animals, or sudden scene transitions.

Maintain consistent animal appearances throughout the entire video.

ABC door-reveal kids video: A for Apple to L for Lion

Create a high-quality vertical 9:16 3D animated educational kids video in a bright, colorful, cute nursery-rhyme style.

Main character:
A cute adorable toddler boy, around 2 years old, with chubby cheeks, big expressive eyes, short light-brown hair, wearing a bright blue T-shirt with a playful “LOL Kids” style graphic and matching diaper/shorts. Keep the child’s appearance consistent throughout the entire video.

Environment:
A clean, bright indoor children's learning room with a glossy white floor, colorful geometric shapes scattered around the background, playful decorations, and a series of colorful doors. Use vibrant red, blue, yellow and green doors. Soft studio lighting, cheerful atmosphere, polished 3D cartoon animation, smooth reflections, high-quality Pixar-like children's animation aesthetic.

VIDEO SEQUENCE:

Scene 1 — A for Apple:
The toddler stands in front of a bright red door with a large bold yellow letter “A” on it. He reaches toward the door handle and opens the door with excitement. Behind the door is a colorful apple-themed environment with red apples. Show the text “A - APPLE” at the top. The child looks surprised and happy.

Scene 2 — B for Banana:
Cut to a bright blue door with a large yellow “B”. The toddler walks toward it, reaches for the handle and opens the door. Reveal a playful collection of bright yellow bananas behind the door. Display “B - BANANA” at the top.

Scene 3 — C for Cat:
Show a yellow/orange door with a large red “C”. The toddler opens the door and a cute friendly cat appears behind it. The child reacts with excitement and curiosity. Display “C - CAT”.

Scene 4 — D for Dog:
Show a red door with a large yellow “D”. The toddler opens it and reveal a cute friendly brown-and-white puppy standing behind the door. The puppy happily looks toward the child. Display “D - DOG”.

Scene 5 — E for Elephant:
Show a blue door with a large yellow “E”. The toddler opens the door and a cute baby elephant appears. The elephant playfully raises its trunk while the child reacts happily. Display “E - ELEPHANT”.

Scene 6 — F for Fish:
Transition to a bright underwater-themed aquarium area. Show colorful orange fish swimming inside a large glass aquarium. The toddler stands beside it and looks excitedly at the fish. Display “F - FISH”.

Scene 7 — G for Grapes:
Show a green door with a large yellow “G”. The toddler opens the door and discovers a huge bunch of shiny purple grapes behind it. He points toward the grapes with excitement. Display “G - GRAPES”.

Scene 8 — I for Ice:
Show a red door with a large yellow “I”. The toddler stands beside the closed door, reaches for the handle and opens it. Reveal a playful icy environment. Display “I - ICE”.

Scene 9 — J for Jelly:
Show a blue door with a large yellow “J”. The toddler opens the door and reveal colorful jelly/jelly dessert behind it. The child points toward it happily. Display “J - JELLY”.

Scene 10 — K for Kite:
Show a red door with a large yellow “K”. The toddler opens the door and reveal a colorful kite-themed scene. Display “K - KITE”.

Scene 11 — L for Lion:
Show a green door with a large yellow “L”. The toddler opens the door and a cute friendly cartoon lion appears behind it. The lion looks gentle and playful, not scary. The toddler reacts with excitement. Display “L - LION”.

Final scene:
Show a cute fluffy hamster waving goodbye to the camera in a bright pastel background. Add cheerful text:
“Bye-Bye 👋”
and a colorful kids-learning logo at the bottom.

Animation and camera:
Smooth toddler walking and reaching movements, natural hand interaction with every door handle, realistic door opening motion, expressive facial reactions, playful character animation, gentle camera movements, medium full-body framing, occasional slow push-ins, clean transitions between alphabet scenes, consistent character proportions, bright cinematic lighting, glossy 3D rendering, vibrant colors, soft shadows, highly detailed children'

POV: a day as a medieval peasant, chest-cam footage

First-person action-camera POV, wide-angle lens with mild distortion — NOT a fisheye: no black or vignetted corners — camera mounted at the wearer's chest: very shaky handheld throughout, constant hard jitter and bounce, the frame bobbing and swaying violently with every step, whipping hard on impacts and sprints, never smooth, never stabilized. The wearer is a medieval peasant man; his weathered hands with dirt-caked nails and coarse brown wool sleeves enter the frame constantly and stay consistent. Medieval England, cold damp climate, wet deep mud with sheen and ruts, chimney smoke, thatched and timber-framed village below a massive grey stone castle on a hill; natural light only. Mud behaves physically: splatter arcs, heavy clinging clumps, wet squelch. Raw unedited camera footage, no color grading, not cinematic. No subtitles, no on-screen text, no background music (diegetic sound only). No cuts within a shot.

Shot 1: Cold early morning. Looking down at a deep-rutted mud road while walking, boots squelching, wet mud glistening; the wearer's weathered right hand holds a gnarled walking stick and a small tied burlap sack. The camera tilts up mid-stride revealing a massive grey stone castle with flags on a hill above a medieval village, horse carts and hooded villagers on the road ahead; a passing villager brushes close past the lens. Frame bobs with every step.

Shot 2: Same POV arrives at a muddy market square. A bald man with a thick reddish-grey beard in knee-length chainmail and a grey cloak stands holding a tall staff beside a wooden cart piled with bulging burlap grain sacks, a tray of eggs and live brown chickens; a clerk's hand writes on parchment at the right edge of frame; crowd murmurs. The wearer's weathered hands reach into frame and cinch a burlap sack shut on the cart edge.

Shot 3: Same POV. An old woman in a dark grey hooded shawl, 70s, deeply lined face, bushy grey brows, shrewd eager eyes, hurries up close through the mud; she points a bony finger down at the eggs and looks up at the lens, asking in a cracked voice (on screen, lip-synced): "How much for five?" From behind the camera the wearer answers plainly, off-screen POV (no lip-sync, face not seen): "A penny." She digs a small coin from a cloth purse and presses it into the wearer's open weathered palm as his hand comes into frame to receive it. Behind her hang furs on a stall, clay pots, a pig rooting in the mud.

9:16 explainer reel with a talking cartoon presenter

<inputs>
Ask me for the topic and anything it must mention. Then write a 30-60 s script yourself (a 2-line hook, 3-7 points, 1 closing line) and show it to me before you record anything.
</inputs>

<direction>
A 1080x1920 explainer reel on warm cream paper (#EBE7E1 with fine noise grain). Colours: ink #1E1C1A, red #D7372C, grey #8A857E. Cards are #FBFAF8 with a 3px ink border, 20px corners and a halftone shadow (1.7px ink dots on an 8px grid, offset 13px left and 12px down).
Captions sit top left (x 120, y 196, 850px wide) in Instrument Sans 500 at 62px. Each word appears on the frame it's spoken, in light grey #B5AFA7, and turns ink in 0.2 s. One key word per line is Instrument Serif italic at 1.16x size, in red.
Titles are Anton up to 176px: the first word ink, the second red, with a hand-drawn red swash underline.
Small JetBrains Mono labels (25px, grey) sit at y 132: "// 01 · name" on the left, a stat on the right with its number in red bold.
Stamps are Anton 52px red text in a 5px red box, tilted -6°.
An original cartoon presenter (glasses, hoodie, flat colours, 6px dark brown outlines) stands bottom right, cropped at the chest, about 650x770px from x 430, y 1170. He talks the whole time.
Banned: gradients, glow, soft drop shadows, stock photos, emoji, full stops in on-screen text, and any moment where nothing moves for over 1 s.
</direction>

<structure>
Length: the voice decides, 30-60 s.
0 s line 1 states the problem in under 6 words, a UI card shows it and a red strike-through draws across it → line 2 promises the payoff, small cards pop in 0.16 s apart, a red ring draws around the payoff → halftone dot wipe 0.3 s before point 1 → each point: the header label updates, the title slams in on the spoken word, the underline draws 0.12 s later, the main card rises 0.18 s later with a number counting up over 1.15 s, a red #N badge spins in at 0.6 s, a terminal or search bar types one line in under 0.9 s → 0.3 s before the explanation everything exits upward and a demo animation acts out exactly what the voice says, with one stamp landing on the key word → halftone wipe before the last point → the closing line pays off the hook, and the last frame matches the first so it loops.
</structure>

<build>
1. Tools (all free): Node, FFmpeg, HyperFrames (npx hyperframes init), Kokoro for the voice (pip install kokoro) and faster-whisper for word timings. Install what's missing and tell me what you installed.
2. Voice: read line 1 in 3 Kokoro voices and let me pick one. Then record the whole script at speed 1.1. Cut every pause longer than 0.24 s down to 0.24 s, but only where it's truly silent (check loudness in 0.03 s windows).
3. Timing: run faster-whisper with word timestamps on the final voice file and match it to the script. Every caption word, title, stamp and gesture starts on a real word's start time, never on a guess.
4. Presenter: an SVG rig with separate head, brows, eyelids, glasses, 10 mouth shapes and 2 hands.
   - Pick the mouth shape every frame from the voice loudness at 30 fps: -42 dB closed, -16 dB wide open, instant attack, 0.55 release per frame.
   - Blink for 0.14 s every 2.4-4.2 s on a fixed seed.
   - Sway the head slightly all the time and nod for 0.5 s on each key word.
   - Raise a pointing hand from below for 1.7 s at every new point, and an open palm on every other explanation.
5. Motion:
   - pop: scale 0.55 to 1 in 0.34 s, back.out(2.2)
   - rise: 70px up in 0.4 s, power3.out
   - exit: 50px up and fade out in 0.22 s
   - slam: scale 1.22 to 1 in 0.24 s, power4.out
   - stamp: scale 1.75 to 1 and -18° to -6° in 0.2 s
   - wipe: 13x23 ink dots grow up to 62px from the centre out, then shrink away, 0.9 s in all
6. Layout: one HyperFrames sub-composition per point, each with its own GSAP timeline. Tracks from bottom to top: paper, scenes, presenter, captions, wipes. Run npx hyperframes check until it shows 0 errors, then look at a snapshot of the first frame of every point before you render.
7. Sound:
   - one downloaded free SFX per event: pop on cards, whoosh on scene changes, a tick roll under counters, typing under the terminal, a thud on stamps
   - put the loudest point of each sound on its frame
   - music at 0.16 volume with a 0.8 s fade out, voice at 1.0, final mix around -15 LUFS
</build>

<gotchas>
Only one .html file can sit in the project root, so keep source files in src/. Every SFX needs its own track and a data-duration. Hide elements with CSS from the start, not with a timeline set at 0, or they flash on frame 1. Inline-block words inside a flex box lose their spaces, so put captions in a normal block.
</gotchas>

<start>
Ask me for the topic first, then show me the script.
</start>

Exercise demo from a motion sheet: 3 yoga poses in 15 s

Motion sheet prompt: 
Monochrome grayscale technical illustration, biomechanically accurate yoga instruction sheet, clean 3D anatomical character, scientific diagram aesthetic, minimalistic, no artistic exaggeration

1x3 grid layout (3 panels total), perfectly aligned cells, equal spacing, thin black borders, numbered from 1 to 3

Neutral athletic human body (gender-neutral), proportional anatomy, consistent character across all panels

Yoga sequence (key positions only):

Forward fold (Uttanasana, hip hinge)
Plank pose (full body alignment)
Downward facing dog (inverted V, hips lifted)

Top-left: bold number + pose name (English)
Center: full-body pose (clear joint positions)
Bottom-left: short technical explanation (2–3 lines, alignment + breath cues)
Overlay: subtle directional arrows showing flow (down → forward → back/up)

Correct joint alignment, neutral spine where required, grounded feet, stable shoulders, controlled flexibility, no exaggerated stretching

Highly detailed grayscale shading, soft studio lighting, subtle shadows, clean linework, medical / sports science diagram quality

Pure white background

No colors, no background environment, no extra elements, no stylization, no blur

Seedance 2.0 prompt: Use the provided yoga motion sheet as the exact motion blueprint.
Use the provided character image as the subject.

The character must perform the exact same 3 poses and transitions shown in the sheet, in the same order and timing.

Preserve the exact illustration style of the character (linework, face, proportions, clothing, colors). Do NOT convert to 3D or anatomical style.

Duration: 15 seconds
 Camera: full body, centered, static
 Background: same solid color as character image

Motion:
Smooth, clean transitions between poses
Slightly stylized, natural movement (not robotic)

Subtle secondary motion (hair, clothing)

Important:
Match pose accuracy from the sheet
Keep movement readable and simple

No extra actions, no added poses

Pirate chef vs thieving parrot, 30 s Pixar-style ASMR

Create a 30-second Pixar-quality 3D animated ASMR comedy short aboard a warm, lantern-lit pirate ship galley.

STYLE: Premium cinematic 3D animation, expressive characters, polished feature-film quality, warm amber lighting, realistic food textures, cinematic depth of field, playful slapstick humor, gentle ship movement and crisp immersive food ASMR.

Characters: A large, burly, bearded pirate chef wearing a worn apron, and a mischievous bright-green parrot constantly trying to steal ingredients. Keep both characters visually consistent throughout.

0–4s

Extreme close-up of the parrot stealing a garlic bulb. The pirate's hand suddenly slams beside it. They freeze and stare at each other. Brief record-scratch silence. The pirate flicks the parrot away; it spins through the air and lands on a pot rack pretending nothing happened.

4–8s

The pirate rapidly chops garlic with crisp ASMR. The parrot tiptoes toward a tomato. Garlic hits hot oil with a huge sizzle, startling the parrot and sending it tumbling off the rack. Metal cups clang.

8–14s

Fast cinematic cooking montage: tomatoes sizzling, herbs being torn, olive oil pouring in golden slow motion, sauce bubbling and the pirate confidently stirring the skillet. Layer detailed chopping, sizzling, pouring and bubbling ASMR.

14–19s

The parrot spots the food and secretly tries to drag the skillet away. Its tiny body strains comically across the wooden floor. The pirate slowly turns around and stares. The parrot freezes while still holding the handle, then innocently whistles and lets go.

19–24s

The pirate finishes cooking with a dramatic skillet toss. Steam rises as the glossy dish is plated. The parrot watches hungrily, trying to look innocent.

24–30s

Instead of scolding the parrot, the pirate prepares a tiny plate of sauce and bread and slides it across the table. The parrot happily bounces and eats beside him. They exchange a satisfied look as the ship gently sways.

End with a wide cinematic shot of the cozy galley glowing under amber lanterns, subtle ocean sounds and wooden ship creaks, with one soft playful accordion note fading out.

No dialogue, no subtitles, no text. Maintain strong character consistency, natural physics, smooth animation, cinematic framing and detailed food ASMR throughout.

Camcorder footage from the Great Pyramid's building site

This is handheld documentary footage recorded on an early-2000s consumer DV camcorder at the construction site of the Great Pyramid of Giza. The footage feels like real, imperfect documentation of one of the largest building projects in history.

The recording shows hundreds of workers moving massive stone blocks on a large construction ramp. Teams of men are pulling ropes attached to sledges with heavy limestone blocks. Overseers with sticks walk along the lines giving orders. Dust fills the air. In the background, the partially built pyramid rises against the sky. The work is extremely physical and organized.

The camera moves along one of the work gangs, following a team of workers as they pull a large block up the ramp. It occasionally tilts up to show the height of the structure. There are natural cuts between different groups of workers and close views of the ropes straining and the stone moving slowly. The movement of the camera feels like someone walking among the workers documenting the labor.

The handheld camera shows constant shake, drifting framing, autofocus hunting in the bright sunlight and dust, exposure changes, motion blur, and the typical look of filming heavy physical work with an old DV camcorder. The person filming is clearly moving through the active construction site.

Natural sound only: the sound of hundreds of men shouting and grunting in rhythm, ropes creaking under tension, stones scraping on the ground, and general noise of a massive construction site. No music.

The result must feel like authentic, raw footage of the construction of the Great Pyramid, captured on an old camcorder.

GoPro POV cliff jump into a turquoise volcanic spring

SEEDANCE 2.5 | TEXT TO VIDEO | SINGLE CONTINUOUS TAKE | 22s | 1080x1920 | 9:16 | 30fps | 1080p

SCENE AND LOCATION
A hidden volcanic spring canyon deep in a Pacific Northwest pine forest on a bright summer day. A narrow, deep gorge with steep, very high walls of dark gray basalt made of vertical hexagonal columns, streaked with tan and rust tones and covered in patches of bright green moss, ferns and small shrubs.
At the bottom is a crystal-clear natural spring pool. The shallow edges glow bright turquoise and aqua, fading to deep sapphire blue in the center. The water is so transparent that the bottom is fully visible: honeycomb-patterned volcanic rock, mossy boulders, and two long pale submerged logs lying diagonally across the bottom.
Two white waterfalls pour into the pool: a thin one at the far back of the canyon and a larger one spilling from the right-hand cliff wall, making white foam where it hits the water. Tall dark-green conifer and pine trees line the canyon rim. Above is a vivid clear blue sky with a few small white clouds. Hard, bright midday sunlight with strong contrast, and sun sparkles on the water.

THE JUMPER
A young man seen only from his own first-person view. Tanned bare feet and lightly hairy shins, and loose navy-blue swim shorts with a large mustard-yellow hibiscus flower pattern and white drawstrings. No shirt, no shoes, no gloves. His hands and forearms appear naturally in frame when he moves them.

CAMERA AND REALISM
First-person POV from a GoPro strapped to his forehead. It looks like real action-cam footage, not a cinematic camera. 16mm-equivalent ultra-wide lens with slight barrel distortion, and saturated but natural color.
Use real action-cam behavior throughout: small head bob and micro-jitter from breathing and body weight, rolling-shutter wobble on fast moves, quick auto-exposure shifts between bright sky and the shaded canyon, a small sun flare on upward tilts, light sensor noise in the shadows, and wind buffeting that shakes the frame during the fall.
The cliff is about 35 meters high. Gravity, body motion and water physics are fully realistic.

0-2s | THE EDGE (real time)
POV looking straight down from the top of the basalt cliff. His bare feet stand on the rough, dark rock ledge at the bottom of frame, with the shorts visible at the lower edge. Both hands hover forward at the sides of frame. The turquoise pool, the submerged logs and the waterfalls are far, far below. His toes curl over the edge and small grit crumbles off. His right hand tosses a pink-and-white striped inflatable tube out over the drop; it tumbles down and lands as a tiny speck on the water far below. Wind, distant waterfall roar, upbeat chill electronic music starts.

2-4s | THE COUNTDOWN (real time)
A quick nervous tilt down at the drop, a sharp exhale, then two fast steps back from the edge, with the ledge bouncing in frame. Young male voice, hyped: "Three, two, one!"

4-7s | THE TAKEOFF (natural slow motion, about 50% speed)
Two running steps forward, then his last foot pushes off the ledge in slow motion. Rock grit kicks up and floats in the sunlight, the cliff edge slides away beneath his feet, his arms swing forward and out wide, and the whole turquoise canyon opens up below. The slow motion looks like a real high-frame-rate action-cam clip, not a frozen hang. Deep bass swell, stretched wind.

7-13s | THE FALL (real time, fast and continuous)
The speed ramps smoothly back to normal and the stomach drops.
7-9s: The frame dips and wobbles, his arms flail slightly for balance at the edges of frame, and his feet kick at the bottom of frame. A loud yell: "Woooooo!"
9-11s: The basalt column wall, moss and ferns streak upward past the lens, and the right-side waterfall rushes by with spray catching the sun. Wind roars louder and the frame shakes from air buffeting.
11-13s: The glowing turquoise water rushes up and fills the frame, and the pink tube and submerged logs grow fast. His arms snap tight to his body and his legs lock straight for a feet-first pencil dive. The music builds to the drop.

13-14s | IMPACT
A hard feet-first hit into the water and a white explosion of bubbles swallows the lens. Loud plunge splash, deep impact whoosh, and the music goes heavily muffled underwater.

14-17s | UNDERWATER (short, energetic, real time)
A violent swirl of silver bubbles clears to reveal crystal-clear blue water, bright sun shafts cutting down from the surface, the pale submerged logs and honeycomb volcanic rock bottom below, and small fish darting away. His hands push into frame for one strong breaststroke pull, then fast kicks straight up toward the bright glowing surface, with bubbles streaming past the lens. No slow sinking.

17-19s | SURFACE BREAK
The camera bursts through the surface, water droplets sliding across the lens, and bright sunlight floods in. The music snaps back to full clarity on the beat drop. His hand grabs the pink-and-white tube floating right beside him.

19-22s | THE REWARD
POV bobbing on the turquoise water holding the tube, then a sharp tilt up revealing the towering basalt cliff, the tiny ledge he jumped from far above, the pine trees on the rim and the vivid blue sky, with the waterfall splashing on the right. Same voice, out of breath and triumphant: "Yeah, dude! That was insane!" Faint distant cheering. Music plays clean to the final frame.

AUDIO
Continuous upbeat chill electronic track: a bass swell on takeoff, a fast build through the fall, muffled underwater, then a clean drop on surfacing. Real ambient layers: wind that grows with speed, fabric flapping, heavy breathing, waterfall roar, splash, bubbles. Dialogue clear over the music.

KEEP
One continuous take, first-person only. The same shorts, feet and hands throughout, and the same canyon layout with two waterfalls, turquoise pool and submerged logs. The slow motion lasts only 3 seconds at takeoff. The fall is fast, real time and builds speed without pausing. Every beat is quick and punchy.

AVOID
Extra slow motion beyond the takeoff, hovering or floating mid-air, smooth cinematic gimbal movement, cuts to third person, showing the jumper's face, extra people, distorted hands or extra fingers, morphing cliffs, changing water color, text, subtitles, watermarks.

FPV dive through a storm-swallowed jungle temple

Immersive first-person flying camera perspective, no visible drone or flying device. The camera dives through an ancient jungle temple swallowed by storm clouds, racing between vines, stone statues, waterfalls, and glowing ruins. At the end, the temple opens into a massive underground sun, releasing golden shockwaves and levitating stone rings. Continuous POV shot, no cuts, aggressive banking, cinematic motion blur, volumetric mist, high-end fantasy VFX.

30 s FPV drone travel film of a country (Turkey)

Create a 30-second ultra-realistic cinematic FPV travel film showcasing the futuristic energy, natural beauty, and cultural character of TURKEY. Blend cyberpunk technology with Istanbul’s historic architecture, vibrant streets, Mediterranean and Aegean coastlines, and spectacular night imagery. Use extreme-speed FPV drone movement, hyperlapse, seamless spatial transitions, and dense but controlled flash-cut editing. 8K cinematic realism, photorealistic environments, realistic crowds and vehicles, dramatic lighting, smooth motion blur only during rapid transitions, premium commercial cinematography. No text, logos, subtitles, or watermarks.

[0–6s] — CITY FROM THE SKY
Begin above Istanbul at sunrise, surrounded by mist and clouds. An FPV drone dives rapidly between modern skyscrapers before sweeping toward the Bosphorus. The scene transitions from warm daylight into blue-hour neon as the city below comes alive. Cars create flowing light trails while the camera races through vibrant streets, revealing Istanbul’s futuristic energy beside historic architecture.

[6–12s] — TECHNOLOGY & HISTORY
Use rapid cinematic match cuts: a modern tram glides through the city, instantly transitioning into a close-up of a traditional Turkish coffee being prepared; a speeding ferry cuts across the Bosphorus, followed by a dramatic aerial reveal of the Hagia Sophia and Blue Mosque. Turkish street life, glowing shopfronts, crowded avenues, and modern architecture flash together in rhythmic visual transitions.

[12–18s] — SPATIAL FOLD TO THE COAST
A moving object passes directly across the lens and becomes a seamless transition into the Turkish coastline. The camera bursts over crystal-clear turquoise water near Antalya and races along dramatic Mediterranean cliffs. Speedboats cut through the sea, white spray exploding behind them. Transition toward Cappadocia as hot-air balloons suddenly fill the sky above the surreal rock formations.

[18–24s] — TURKEY IN MOTION
The camera dives between Cappadocia’s towering rock formations and rapidly transitions to a bustling Istanbul street at golden hour. Match-cut between a Turkish flag waving in the wind, a crowded bazaar, traditional architecture, modern city traffic, and people enjoying the coastline. Use fast but visually coherent transitions that emphasize Turkey’s contrast between ancient heritage and modern life.

[24–30s] — THE GRAND FINALE
Night falls instantly. The camera rises above Istanbul and reveals the Bosphorus illuminated by thousands of city lights. A massive coordinated drone light show forms elegant abstract shapes above the skyline while boats move across the glowing water below. The camera pulls rapidly backward and upward into an enormous aerial panorama, revealing Istanbul stretching across both sides of the Bosphorus.

End with a powerful wide cinematic shot of the illuminated city, water, bridges, historic landmarks, and night sky.

STYLE: ultra-realistic 8K cinematic travel film, photorealistic Turkey, extreme FPV drone cinematography, high-speed hyperlapse, seamless spatial transitions, dynamic match cuts, realistic crowds and vehicles, detailed architecture, natural atmospheric haze, volumetric light, cinematic depth of field, realistic reflections, subtle motion blur only during fast transitions, HDR, premium tourism-commercial quality.

COLOR: begin with warm natural daylight, transition into cool blue and cyan tones during futuristic city sequences, use rich turquoise and golden tones along the coast, then finish with deep blue night and warm city lights.

AUDIO: cinematic electronic pulse building with the speed of the visuals, Istanbul street ambience, ferry horns, traffic, waves, wind, subtle traditional Turkish instrumental textures, then a powerful musical rise for the final aerial reveal. No spoken dialogue.

POV: morning train commute in a seaside Japanese town

POV — Morning Commute in Coastal Japan | Ultra-Realistic, One Continuous Take

First-person POV, no cuts, one unbroken handheld-feeling shot from our own eyes on the way through a small seaside town. Ultra-photorealistic, phone-in-hand realism — natural camera micro-shake, subtle head bob with each step, occasional glance down at our own hands and shoes. 4K, shallow but natural depth of field, real morning light, no color-grading fantasy, no neon.

Beat 1 — Descending into the station (0–4s): We walk down worn concrete station stairs into a small coastal-town metro entrance, one hand loosely gripping a canvas bag strap that swings into the lower frame. Fluorescent tint mixes with daylight bleeding from the entrance behind us. Commuters pass in soft focus; we hear muffled announcements and the shuffle of footsteps.

Beat 2 — The orange cat (4–9s): We slow and crouch — the horizon dips as our POV lowers toward the ground. An orange tabby sits by a ticket-gate pillar, tail curled. Our hand (natural skin texture, slightly bitten nails, cuff of a sleeve) reaches into frame and gently strokes its head. The cat leans into the touch, eyes half-closing, ears flicking. We hold there a beat, warm and quiet.

Beat 3 — Boarding, settling by the window (9–14s): We rise, the horizon lifts, and we step through the train doors just as the chime sounds. POV turns and moves toward a window seat; we sit, and the frame settles against the glass. A faint silhouette of us ghosts over the view. The train pulls away with a gentle lurch.

Beat 4 — The shimmering sea (14–20s): Through the window, the town gives way to open coastline. Sunlight scatters across the water in thousands of moving sparkles — real specular glitter, not CGI bloom. Utility poles and wires strobe past in the foreground. We rest our chin lightly (subtle downward frame tilt), just watching.

Beat 5 — Rails into the sea (20–25s): The track curves and runs so close to the shore that the rails seem to vanish straight into the water — the sea fills nearly the whole frame, waves lapping right up to the ballast. Foam catches the light. We're gliding along the edge of the ocean, the horizon line steady, gulls crossing in the distance. Hold on this until the shot ends.

Technical spec: continuous POV, first-person, no cuts or transitions, natural handheld micro-motion, realistic morning ambient audio (station hum, cat, train chime, rail clatter, distant surf), authentic Japanese coastal-railway setting (Shimonada / Enoden-style seaside line), overcast-to-clear soft daylight, photoreal skin and fabric texture, 2.39:1 or 16:9, ultra-realistic.

POV: riding a dragon off a cliff and under the sea

Create a 30-second vertical 9:16, 24fps, 8K-quality photorealistic live-action fantasy sequence from a first-person rider POV. A massive original obsidian-crimson dragon with individually detailed scales, subtle dark mottling, molten-gold eyes, volcanic-black swept-back horns, blade-like dorsal fins, burgundy-red translucent wings and faint ember-like fissures across its body. Rider wears black leather gloves, dark-green sleeves and weathered leather bracers, holding heavy chain reins from a worn brown studded saddle.

Begin with the dragon calmly breathing on a wet emerald coastal cliff; it slowly turns toward camera and the rider gently pets its neck. Suddenly it lowers its body, launches across the grass and leaps from the cliff. Dive steeply toward the grey-green ocean, deploy huge wings with realistic membrane movement, then skim just above the water with spray hitting the lens. Perform a dramatic high-speed bank around a sea stack, then plunge directly underwater. Brief dark-teal underwater silence with bubbles and faint crimson glow, followed by a powerful eruption through the ocean. Finish with a calm glide above foggy water as the dragon slowly turns and looks toward the rider.

Use physically accurate anatomy, weight, gravity, wing aerodynamics, water physics, scale deformation, wind and environmental interaction. Natural rider-mounted camera movement, realistic motion blur, lens droplets, focus breathing, subtle handheld vibration, cinematic depth of field, soft overcast lighting, HDR, restrained film grain and natural cinematic color grading.

Audio: atmospheric drone → intimate cello → rising orchestral tension → massive launch/flight score → intense percussion during the bank → muffled underwater audio → epic orchestral return during emergence → soft cello/piano ending. Layer detailed ASMR/SFX: dragon breathing, scales, leather, reins, claws scraping soil, wind, wingbeats, water spray, bubbles, ocean impact and a deep natural dragon roar.

Make it indistinguishable from expensive real live-action cinema. No AI look, cartoon, anime, game CGI, plastic textures, fake physics, neon glow, oversaturation, distorted anatomy, extra limbs, text or watermark.

Claymation build of a miniature Phinisi ship, 8 scenes

— 15 Seconds | 8 Scenes | 9:16
Create a cute, hyper-detailed claymation stop-motion video showing the step-by-step creation of a miniature traditional Phinisi sailing ship from colorful modeling clay. Keep the visual style consistent with the reference image: handcrafted clay texture, miniature diorama, bright tropical ocean, soft cinematic lighting, colorful and satisfying visuals.

Scene 1 — 0:00–0:02
Top-down close-up of colorful clay pieces, wooden-style clay tools, tiny ropes and miniature ship accessories arranged neatly on a crafting table. A pair of small clay hands begins preparing the materials. Slow camera push-in.

Scene 2 — 0:02–0:04
Close-up of hands shaping the brown clay into the curved wooden hull of the miniature Phinisi ship. Show fingerprints and realistic clay texture. Smooth stop-motion movements.

Scene 3 — 0:04–0:06
The hull becomes more detailed as tiny windows, railings, decorative patterns and wooden planks are carefully added. Camera slowly rotates around the model.

Scene 4 — 0:06–0:08
Two tall masts are placed precisely onto the ship. Tiny ropes and rigging appear piece by piece. Close-up macro shot emphasizing the craftsmanship.

Scene 5 — 0:08–0:10
Cream-colored clay sails unfold and attach to the masts. The complete miniature ship begins to take shape. Camera changes to a low cinematic angle.

Scene 6 — 0:10–0:12
Tiny cabin, deck details, windows, ropes and accessories are added. The camera moves smoothly along the side of the ship, revealing the intricate handcrafted details.

Scene 7 — 0:12–0:14
The finished Phinisi ship is placed on a miniature turquoise ocean made from textured clay. Small waves move around the hull while the ship gently rocks.

Scene 8 — 0:14–0:15
Wide cinematic final shot: the completed miniature Phinisi sailing peacefully across the bright blue clay ocean under a sunny tropical sky, with small clouds, palm trees and colorful scenery in the background. The ship gently moves with the waves.

Style: premium clay animation, stop-motion, handcrafted miniature, pastel clay texture, ultra-detailed, colorful, cinematic lighting, macro photography, shallow depth of field, smooth camera movement, satisfying transformations, realistic miniature scale.

Audio: soft clay-working sounds, gentle tapping and sculpting sounds, subtle ocean waves, light tropical ambience and soft cheerful background music.

Negative Prompt: blurry details, distorted ship, extra masts, deformed hands, flickering, inconsistent objects, realistic human proportions, text overlays, watermark, logo, sudden camera movement, low-quality textures. Seedance 2.0

Cartoon strongman vs dinosaurs, 20 s cel-shaded fight

Character sheet prompt:

"Create a premium cinematic character bible sheet for POPEYE & OLIVE OYL. Use uploaded character sheets as strict visual reference for both characters. Do not change either's appearance.
LAYOUT: Single unified wide format. Both characters large and dominant filling most of the sheet — close up from mid thigh up, taking up almost the entire frame. Popeye on the left, Olive Oyl on the right. Deep navy and volcanic red watercolor explosion radiating behind both.
TOP LEFT: Large bold brushstroke text POPEYE in deep navy. Below small text: HOT SAUCE / PREHISTORIC JUNGLE.
TOP RIGHT: Large bold brushstroke text OLIVE OYL in volcanic red. Below small text: THE RESCUE / THE JUNGLE.
CHARACTERS: Both cropped close from mid thigh up filling most of the sheet. Popeye on the left — enormous forearms, face still slightly red, fresh toothpick in corner of mouth, steam fading from ears, one arm flexing, one arm around Olive Oyl. Olive Oyl on the right — black hair bun, red top, black skirt with yellow trim, one enormously long arm thrown dramatically around Popeye, wide relieved expression. Behind both — faint silhouettes of dinosaurs and volcanic mountains fading into the watercolor.
BOTTOM CENTER: Bold text POPEYE & OLIVE OYL in volcanic red slightly worn. Tagline: HE CHUGGED THE HOT SAUCE. THE DINOSAURS DIDN'T STAND A CHANCE.
COLOR PALETTE: Deep navy, volcanic red, white.
OVERALL: Clean white background, deep navy and volcanic red watercolor explosion radiating behind both characters, faint dinosaur silhouettes in background, bold flat color blocking, chunky simplified forms, hard edge shadows, thick black outlines, cinematic cel-shaded 3D anime, hand-painted textures, not cartoon not Disney not Pixar, print ready."

Seedance 2.5 prompt:

"Cinematic anime clip, 20 seconds. Prehistoric jungle — dense trees, volcanic mountains in background, rivers, lush green, clear blue sky. Bright daylight throughout.
SHORT STOCKY MALE WITH MASSIVELY OVERSIZED FOREARMS: Use uploaded character sheet.
VERY TALL EXTREMELY THIN FEMALE WITH BLACK HAIR BUN AND OVERSIZED BROWN SHOES: Use uploaded character sheet.
DINOSAURS: T-Rex, Raptors, Triceratops, Pterodactyl. All powerful, all fought completely differently. Never easy opponents.
0:00–0:02 — Already mid brutal fight with T-Rex. T-Rex snapping massive jaws. Main character diving sideways, crashing into jungle floor. Back on feet immediately, driving combinations into T-Rex's knee. Massive tail connecting, sending him flying backwards through jungle trees.
0:02–0:03 — Close up on main character getting up. Toothpick still in mouth. Female character's voice cutting through everything — HELP!!!!!!! Quick cut — female tied to chair, raptors circling, arms flailing dramatically.
0:03–0:05 — Main character winding back one massive punch connecting with T-Rex's jaw. T-Rex spinning into jungle trees. Immediately pulling out hot sauce chugging entire bottle. Face turning bright red. Steam blasting from both ears. Forearms tripling.
0:05–0:07 — Three raptors bursting from tree line charging simultaneously. First raptor caught mid air by tail, swung into the second. Third raptor slashing from behind — main character grabbing fallen tree trunk, swinging it connecting with the third, sending it flying deep into jungle.
0:07–0:09 — Ground shaking. Massive Triceratops charging at full speed. Main character grabbing both horns — feet sliding backwards through dirt leaving deep grooves. Straining hard. Pterodactyl swooping silently from above simultaneously — releasing one hand, punching Pterodactyl mid swoop out of the sky without breaking stride. Both hands back on horns pushing with everything. Launching Triceratops sideways into jungle.
0:09–0:13 — T-Rex back — recovered, angrier, roaring, charging again. Main character charging back simultaneously. Both closing at full speed. T-Rex jaw opening wide. Main character winding back biggest punch of entire video. Fist connecting with T-Rex's jaw. Biggest shockwave rippling through jungle — trees bending outward, birds scattering, ground cracking. T-Rex launching into volcanic mountain in background. Rocks exploding outward.
0:13–0:16 — Two final raptors guarding female character charging. Main character grabbing both by tails, swinging them into each other. Both crashing. Sprinting toward female character.
0:16–0:18 — Main character reaching female character, untying rope in one quick motion. Female character throwing enormously long arms around him dramatically.
0:18–0:20 — Main character hugging female with one arm, flexing other enormous forearm, fresh toothpick in mouth, steam fading. Volcanic mountains behind them. Done.
Cel-shaded 3D anime, Unreal Engine quality, prehistoric jungle dense trees volcanic mountains rivers lush green clear blue sky bright daylight throughout, bold flat color blocking, hard edge shadows, thick black outlines, vibrant saturated colors, film grain, massive orchestral score never dropping every dinosaur roar shaking everything every punch enormous BOOM female screaming HELP!!!!!!! loud and piercing, camera switching constantly never same angle twice — low angles from jungle floor, wide from above, medium side shots, close ups on face forearms and fists, behind shots — short stocky male always uploaded sheet toothpick in mouth face red after hot sauce steam from ears forearms enormous aggressive never backing down, tall thin female always uploaded sheet tied to chair screaming dramatically, dinosaurs always massive powerful always fought completely differently never easy, relentless from frame one to last frame."

What if Jurassic Park were real? Tourist camera roll

Format: Found-footage vacation video, 15 seconds, seven shots with hard cuts — a tourist's camera roll from one full day, morning to dusk.

Image reference: Use the attached gate photo as the exact visual reference for Shot 1 — match its architecture, proportions, torch placement, lighting, and signage precisely.

Main subject: Young woman, blond hair in a loose low bun shedding strands, oversized faded olive t-shirt, denim shorts, white canvas sneakers, disposable-camera strap on her wrist. Realistic skin texture, minimal makeup, wide-eyed tourist joy. Maintain perfect visual consistency — identity, hair, clothing, proportions — across every shot and location.

Location: A vast island dinosaur preserve. Jungle mountains, open savanna paddocks, wooden observation structures, tall electrified perimeter fences, dirt tour roads. Dinosaurs are photorealistic animals — muted natural hides, birdlike motion, visible breathing weight. Filmed like wildlife, never like monsters.

Camera style: Mid-range smartphone, handheld by her friend. Heavy shake, autofocus hunting, motion blur on pans, compression grain, exposure pumping. Each cut is abrupt and mid-motion, like real unedited camera-roll clips.

00:00–00:03 — THE GATES (morning, filmed from inside a moving open-top tour jeep). The camera films forward over the seats as the jeep approaches the colossal timber gates from the reference image — flared stone-and-wood towers, flaming torches, jungle pressing in on both sides, the road still wet from morning rain. The doors groan open. She spins around from the front seat into frame, gripping the roll bar, and half-shouts over the engine: "Oh my god, this is wild! I can't believe we're actually here!" — as the jeep passes under the archway into shadow and out again.
00:03–00:05 — SAVANNA (late morning, wide shot from a raised wooden platform). She stands small at the rail against an open plain where a herd of long-necked giants wades through heat haze, one rearing slowly against the treeline. The camera zooms in shakily, overshoots, corrects.
00:05–00:07 — RIVER CROSSING (midday, low angle through the jeep's open side). Past her shoulder as the jeep fords a shallow river: a crested duck-billed dinosaur drinks twenty meters away, lifting its head to watch them pass, water dripping from its jaw. She raises her disposable camera; the phone catches its tiny click.
00:07–00:09 — JUNGLE FENCE (afternoon, handheld walking shot). Dim under the canopy beside a tall humming fence. She peers through the wire — and a small crested predator peers back from the ferns, head tilting in quick birdlike jerks. She backs up a slow half-step, whispering "okay... hi." Autofocus argues between wire and eye.
00:09–00:11 — THE HERD RUNS (late afternoon, chaotic pan from the jeep at speed). A flock of small striped dinosaurs floods across and around the vehicle. The camera whips left-right, blurred bodies streaking past, her whooping off-mic, dust on the lens.
00:11–00:13 — QUIET GIANT (golden hour, static shot at a wooden overlook). The frame finally settles: silhouetted against low sun, she stands at a rail as an immense horned dinosaur grazes just below, close enough to hear grass tearing. She isn't laughing anymore — just watching.
00:13–00:15 — DUSK ROAR (blue hour, half-framed and accidental). Filmed as the phone was being lowered, frame tilted: a colossal, deep bellow rolls in from the darkening jungle far off. Everyone freezes and turns toward it. Cut to black mid-turn.

Audio: Ambient only, shifting per location — jeep engine and gate groan, her excited line over the motor, savanna wind, river wading, fence hum, thundering small feet, grass tearing, and the single distant bellow that swallows everything. No music. No narration.

Style & quality boosters: Raw consumer camera-roll aesthetic, abrupt mid-motion cuts, heavy handheld instability, natural motion blur, golden-hour lens flare, coherent animal mass and physics — ground tremor, water displacement, dust. No text overlays, no watermarks.

Goal: One unforgettable day inside the world's most famous dinosaur preserve, told through seven imperfect tourist clips — opening on the gates everyone recognizes, and closing on the sound that reminds them what lives beyond the fences.

Samurai cat vs ninjas in a misty Japanese wetland

A cinematic 30-second action sequence in a misty Japanese wetland. An orange tabby cat with a white chest, white paws, and intense green-gold eyes wears a traditional woven straw conical kasa hat and a small katana strapped diagonally across its back with a leather harness. A thin stalk of dry reed hangs from its mouth like a toothpick. Overcast gray sky, dense tall beige reeds, moss-covered rocks, damp earth, light fog, muted earthy palette, filmic grain, shallow depth of field, motion blur on fast movement.

Opening close-up: the cat sits in profile on a mossy rock, hat low over its eyes, looking off to the side. It slowly turns its head to face the camera with a calm, knowing stare.

Cut to a tracking shot as the cat walks then sprints toward camera from behind a large mossy boulder, hat bouncing, tail up, reeds parting.

Two black-clad ninjas in full face-covering outfits appear in the reeds. The cat weaves between them at high speed, sword flashing, kicking up dirt and leaves. Low-angle ground-level shots with heavy motion blur as the cat dashes past.

The cat drops low and sprints through a dense bamboo-like reed tunnel, hat almost covering its face, then bursts out and leaps high into the air, body stretched, sword on its back, spinning against the gray sky.

Mid-air flips and corkscrew jumps through tall swaying reeds. One shot from below as the cat silhouettes against the overcast sky. Another as it twists and lands rolling on the wet grass.

A ninja swings a katana; the cat dodges in mid-air, hat flying slightly off-center. Quick cuts of the cat running, sliding, leaping again.

The cat soars high one last time and lands on the bow of a small dark wooden rowboat floating on a still, misty lake. Ripples spread. Several ninjas leap from the reed bank toward the boat in dramatic slow-motion, swords drawn, bodies mid-jump.

The cat lands in a low, wide stance on the wet wooden planks, front paws planted, staring straight into the camera. Hat slightly tilted. It then walks slowly and confidently forward along the center of the boat toward the lens, sword still on its back, expression unreadable and slightly menacing. Background reeds and fogged water. Distant ninjas splash or fall behind it.

Cinematic camera work throughout: mix of locked-off portraits, low tracking shots, handheld chase energy, dramatic low angles, overhead flips, and a final slow push-in on the cat’s face. Natural overcast lighting, soft fog, wet surfaces, photorealistic fur and fabric texture, 24fps film look, slightly desaturated, epic yet slightly absurd tone. No dialogue, only wind, rustling reeds, splashes, and distant sword sounds.

Tiny construction workers build a giant sushi roll

Create a 10-second ultra-realistic cinematic miniature-world video showing tiny construction workers building a giant sushi roll with the help of real human hands. The style is realistic ASMR, satisfying miniature construction, macro photography, highly detailed textures, warm cinematic lighting, shallow depth of field.

Scene 1 — 0:00–0:01: Tiny construction workers use a miniature excavator to scoop freshly cooked white rice and place it into a large bowl. Close-up macro shot, realistic rice texture, tiny machinery sounds.

Scene 2 — 0:01–0:02: A giant human hand pours water into the rice bowl while miniature workers carefully wash and mix the rice. Clear water movement, realistic ASMR sound.

Scene 3 — 0:02–0:03: The rice is transferred into a miniature cooking pot. Steam rises as tiny workers supervise the cooking process. Close-up of the lid opening and warm steam escaping.

Scene 4 — 0:03–0:04: Tiny workers spread the cooked sticky rice evenly across a large sheet of nori using miniature tools, while a human hand gently helps flatten and smooth the rice.

Scene 5 — 0:04–0:05: A tiny construction crane carefully lifts large pieces of fresh salmon and places them neatly on top of the rice. The salmon looks glossy, fresh, and realistic.

Scene 6 — 0:05–0:06: Tiny workers bring cucumber and other colorful sushi vegetables and carefully arrange them in straight layers over the salmon. Macro close-up of the ingredients.

Scene 7 — 0:06–0:07: Several miniature construction workers work together to roll the sushi tightly. A human hand assists by gently pushing and guiding the roll. The nori wraps smoothly around the filling.

Scene 8 — 0:07–0:10: A large human hand uses a sharp sushi knife to cut the finished sushi roll into perfect pieces. Tiny workers celebrate around the completed sushi, raising their hands. Add a small “MISSION COMPLETE” sign.

Camera: macro close-ups, smooth cinematic camera movement, realistic focus pulls, shallow depth of field, detailed miniature perspective.

Audio: satisfying ASMR, rice movement, water pouring, steam, tiny construction machinery, knife cutting through sushi, subtle ambient sounds. No music.

Visual quality: photorealistic, cinematic, highly detailed, realistic human hands, realistic miniature workers, natural physics, clean composition, warm restaurant/kitchen environment, 4K, vertical 9:16, smooth motion, no text except the small “MISSION COMPLETE” sign.

A cat films its own day: 60 s selfie vlog, no words

Create a 60-second realistic day-in-the-life cat vlog, following the same cute cat from waking up in the morning until falling asleep at night.

Critical Requirement

NO HUMAN SPEECH AND NO DIALOGUE.

The cat must not speak any words at any point. Do not use narration, voice-over, human voices, subtitles, captions, or text.

The story must be communicated entirely through the cat’s actions, facial expressions, body language, meows, purrs, chirps, yawns, and natural environmental sounds.

Overall Visual Style

One continuous handheld front-facing smartphone selfie-vlog perspective. The cat holds the phone itself with its paw and films its own day.

- Realistic modern smartphone footage
- Natural handheld shake
- Slight framing imperfections
- Occasional autofocus hunting
- Natural front-camera lens distortion
- Realistic unfiltered smartphone colors
- Soft natural morning, afternoon, and evening lighting
- Same cat, face, fur pattern, eyes, and body throughout
- Cute but believable cat behavior
- Natural expressions and movements
- No cinematic camera movements
- No third-person camera
- No tripod or external camera
- No beauty filter or cinematic color grading
- No logos, watermarks, subtitles, captions, or on-screen text
- No background music

0–10 sec — Wake Up

The cat wakes up in a cozy bed.

It picks up the phone with its paw and starts filming itself selfie-style.

It looks sleepy, yawns, stretches, rubs its face with its paws, and looks into the camera with sleepy eyes.

It gives a tiny “meow”, then climbs out of bed.

10–20 sec — Breakfast

The cat walks into the kitchen while filming itself.

It sees its food bowl and immediately becomes excited.

It prepares or receives its breakfast, eagerly eats, then drinks water.

It looks happily into the camera and gives a couple of excited little meows.

Include realistic food-bowl sounds, chewing, drinking, and kitchen ambience.

20–30 sec — Playtime

The cat grabs its favorite toy.

It runs around the house, chases the toy, jumps onto the couch, bats at it with its paws, and playfully rolls around.

The phone shakes naturally during the energetic movement.

The cat stops for a moment, looks directly into the camera, gives a playful chirp/meow, then immediately runs off again.

30–40 sec — Exploring

The cat explores the house.

It looks through a window, watches birds outside, investigates a strange sound, walks into another room, and sniffs interesting objects.

It notices something outside and becomes curious.

The cat makes a soft “mrrp” sound and continues exploring.

Keep the behavior authentically feline rather than human-like.

40–50 sec — Afternoon Adventure

The cat safely goes outside into a garden or quiet courtyard.

It walks around while filming itself, sniffs flowers and plants, watches birds, investigates leaves, and explores its surroundings.

The cat pauses, looks excitedly at something off-camera, then gives a small curious meow.

Use natural outdoor sounds such as birds, wind, leaves, distant traffic, and footsteps.

50–60 sec — Evening & Bedtime

The cat returns home as the light becomes warm and soft.

It has its evening meal, drinks some water, then climbs onto the couch or back into its bed.

It grooms itself, yawns, becomes sleepy, and curls into a comfortable position.

It looks into the phone one last time, gives a tiny sleepy meow, slowly closes its eyes, and lowers the phone naturally.

End with quiet nighttime home ambience.

Final Audio Requirements

Absolutely no dialogue. No words. No narration. No human voice. No talking cat.

Use only natural diegetic sounds:

- Cat meows
- Purring
- Chirping
- Yawning
- Footsteps
- Food and water sounds
- Toy sounds
- Household ambience
- Birds and outdoor sounds
- Wind and leaves
- Natural nighttime ambience

The finished video should feel like a realistic, cozy smartphone vlog from a cat’s perspective, showing what the cat naturally does throughout an entire day without saying a single word.

Halloween twist horror short: the kind host is the witch

On October 31, Halloween night, a young adult woman stands alone at a deserted bus stop surrounded by thick fog, dead trees, and flickering orange Halloween pumpkins. Suddenly, a terrifying witch appears behind her, with wild gray hair, glowing eyes, and an antique silver locket around her neck.

The witch whispers, “You shouldn't be alone on Halloween night!” The woman turns, screams, and runs desperately into the fog.

SCENE 2 — THE OLD MANSION (10–23 seconds)

The woman discovers an ancient Victorian mansion and knocks on the door. An elderly woman opens it warmly and invites her inside. The candlelit room is cozy, with Halloween decorations, carved pumpkins, and an old fireplace.

The elderly woman serves her hot soup and bread, speaking gently: “Come in, dear. You're safe here tonight.”

The frightened woman begins to relax as thunder rumbles outside.

SCENE 3 — THE SHOCKING DISCOVERY (23–38 seconds)

While eating, the woman notices an old portrait hanging on the wall. It shows a beautiful young woman wearing the exact same silver locket as the terrifying witch at the bus stop.

She slowly approaches the portrait, staring at the familiar face and identical necklace. Beneath the painting, an inscription reads: “OCTOBER 31 — 40 YEARS AGO.”

Her face turns pale. She suddenly realizes that the woman in the portrait is the witch she encountered outside.

She slowly turns her head toward the elderly woman standing behind her.

SCENE 4 — THE FINAL SCARE 

The elderly woman stares at her with an unnatural, sinister smile. Her eyes suddenly glow yellow, her face transforms into the terrifying witch's face, and she bursts into a chilling, maniacal laugh.

The camera rapidly pushes toward the witch's horrifying face as lightning flashes through the window.

SMASH CUT TO BLACK.

The witch's evil laughter echoes once in the darkness.

END.

VISUAL STYLE: Photorealistic live-action horror, cinematic Victorian mansion, realistic fog and rain, flickering candlelight, detailed facial expressions, practical supernatural transformations, dramatic shadows, and intense Halloween atmosphere.

SOUND DESIGN: Howling wind, distant thunder, footsteps, creaking doors, eerie whispers, a sudden transformation sound, and terrifying witch laughter.

CHARACTER CONSISTENCY: Maintain the same young woman, the same elderly woman, and the identical silver locket throughout. The witch's appearance must match the portrait's young woman before her transformation.

NEGATIVE PROMPT: No cartoon, no anime, no cheap CGI, no inconsistent faces, no costume changes, no subtitles, no logos, no watermark, and no scenes after the final black screen.

Faceless mannequins summon a spirit falcon, music visual

Create a 25-second surreal cinematic music video synchronized to Habibi by ANIGER.
Set the scene in a grand palace hall draped with deep red velvet curtains, illuminated by intense crimson lighting, warm candlelight, and shimmering golden reflections. At the center stands a luxurious round banquet table covered in rich red velvet, decorated with ornate gold tableware, dozens of candles, and a massive arrangement of red roses.
Surrounding the table are several faceless matte-black mannequins wearing ultra-detailed royal Middle Eastern-inspired attire: embroidered silk robes, jeweled turbans, layered gold necklaces, and flowing fabrics in crimson, emerald green, and gold.
Part 1 — The Ritual Begins (0–15s)
0–5s:
Wide establishing shot. The camera slowly dollies into the grand hall as the mannequins stand motionless around the feast table in elegant ceremonial poses.
5–10s:
The mannequins raise their hands in synchronized ritual movements. Red and gold energy streams from their fingertips, converging into a glowing orb above the roses. Candle flames intensify and rose petals begin floating.
10–15s:
The orb expands and pulses with the beat. Mystical symbols appear in the air as curtains billow and golden particles swirl around the room.
Part 2 — The Summoning (15–25s)
15–20s:
The glowing orb erupts into a towering column of crimson and gold light reaching to the ceiling. The mannequins continue their ceremonial movements as the room vibrates with magical energy.
20–23s:
From the center of the light emerges a majestic spectral falcon made of glowing embers and golden particles. It spreads its wings above the table.
23–25s:
Final overhead rotating hero shot. The mannequins freeze with arms raised in reverence while the falcon circles above and the enchanted tableau glows intensely.
Visual Style
Photorealistic 8K, cinematic realism, 35mm film look, ARRI ALEXA aesthetic, high-fashion editorial styling, volumetric lighting, atmospheric smoke, floating particles, rich red-and-gold color grading, mystical and hypnotic atmosphere.
Negative Prompt
blurry, low quality, visible faces, text, watermark, modern clothing, bright daylight, distorted anatomy, poor fabric detail, weak visual effects.

Rainy-evening chicken soup ASMR, 15 s shot list

Ultra cinematic ASMR cooking video of homemade chicken soup being prepared in a cozy rustic kitchen during a rainy evening, warm golden lighting, shallow depth of field, highly detailed food cinematography, realistic steam rising from the pot, close-up shots of fresh vegetables being chopped on a wooden cutting board, raw chicken gently placed into a simmering pot, carrots, garlic, onions, celery, and herbs falling in slow motion, rich broth bubbling softly, cinematic camera movements, macro lens food shots, knife chopping sounds, sizzling butter, boiling soup sounds, spoon stirring the soup slowly, crispy ambient kitchen atmosphere, natural window rain ambience, soft foggy background, emotional comfort-food aesthetic, ultra realistic textures, dramatic steam, smooth transitions, professional food commercial style, cozy and satisfying mood.
Shot sequence for 15 sec:
0–3 sec: Extreme close-up of vegetables being chopped, crispy knife ASMR
3–6 sec: Chicken dropping into hot pot with sizzling broth sound
6–9 sec: Slow-motion herbs and spices falling into the soup
9–12 sec: Steam rising dramatically while soup simmers
12–15 sec: Beautiful top-angle shot of finished chicken soup in bowl, spoon dipping slowly, cinematic steam, cozy ending shot
Style Tags:
4K, ultra realistic, cinematic lighting, food commercial, ASMR audio focus, shallow DOF, volumetric lighting, warm tones, macro food videography, cozy aesthetic, smooth camera motion, film grain, high detail, immersive atmosphere.

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