AI Video Prompt GeneratorOne click. Cinema-grade prompts.

① Subject & Appearance

Specify who or what is in the scene, including physical details that matter: species, age, clothing, color, texture, size. Compare "a dog" vs. "a silver-furred Siberian husky puppy with pale blue eyes, wearing a tiny red bandana". Richer subjects give the model fewer degrees of freedom to fill with generic defaults.

② Subject Motion

This is the key difference between image and video prompts. Describe how the subject moves over the clip's duration: speed, trajectory, and specific action verbs. Use adverbs for pacing — "sprints frantically", "drifts slowly", "leaps and freezes mid-air". Temporal beats help: "[0-3s] subject walks toward camera, [3-6s] stops and looks up, [6-10s] runs away".

③ Scene & Environment

Ground the action in a place. Include setting type (urban, natural, interior), time of day, weather, and background details. Active environments add realism: "wet cobblestones reflecting neon", "wheat field under an approaching thunderstorm", "cramped server room with blinking LEDs". Avoid purely static descriptions — hint at what is moving in the background.

④ Camera Language

Camera movement is the single most underused element in amateur prompts. Name specific techniques: dolly in/out, pan, tilt, crane up, tracking shot, orbital (360° around subject), handheld shake, static locked-off, first-person POV, Dutch angle. Combine movement with distance: "low-angle tracking shot at ground level following the subject" paints a vivid cinematic idea. Models trained on filmmaking data respond strongly to these terms.

⑤ Lighting & Color

Light defines mood faster than any other element. Instead of "nice lighting", try: "golden hour backlight with long shadows and warm lens flare", "cold blue moonlight with hard shadows", "soft three-point studio lighting on a white cyclorama", "practical neon signs casting cyan and magenta highlights". Mention color temperature (warm/cool), contrast (high/low), and any practical light sources in the scene.

⑥ Atmosphere & Mood

Atmosphere wraps everything together. Words like "melancholic", "euphoric", "tense", "dreamlike", or "documentary-neutral" tell the model how to tonally grade the output. Add cinematographic shorthand at the end: "cinematic 16:9, photorealistic, 4K, shallow depth of field, fine film grain, anamorphic bokeh".

Veo 3.1 (Google)

Veo supports native audio generation, so describing the soundscape improves the full output: "crisp footsteps on gravel", "distant city hum", "wind rustling through dry leaves". Use natural, flowing prose rather than keyword lists. Veo is especially strong at physics — describe material properties like "translucent fabric catching the wind" or "water beading off a waxed car hood".

Sora 2 (OpenAI)

Sora excels at temporal coherence and physical realism. Structure your prompt as a short narrative: beginning, middle, and end within the clip. Emphasize realistic physics: "accurate cloth simulation", "natural gravity as the ball arcs". Reference high-end camera equipment for a quality signal: "filmed on Arri Alexa 65, 8K RAW, anamorphic lens".

Kling 3.0 (Kuaishou)

Kling is highly responsive to explicit camera verbs and motion direction. Use precise directional language: "camera slowly orbits clockwise around the subject from low angle", "fast push-in from wide to extreme close-up on the eyes". Kling also handles complex multi-character scenes well when each character's action is described separately.

Wan 2.5

Wan performs best with clear, readable scene descriptions. Avoid overly abstract or poetic language. Describe what is visibly happening in simple declarative sentences, then add camera and lighting as separate clauses. Good for product demos, character movement, and clean environmental shots.

1. Cinematic Portrait — Emotional Close-Up

An elderly fisherman with deeply lined face and silver stubble sits at the bow of a weathered wooden boat, gazing at a stormy horizon. [0-4s] static close-up on his face, wind rippling his coat. [4-8s] slow dolly back to reveal open ocean behind him. Overcast dramatic light with silver rim highlight from breaking clouds. Desaturated color grade, 16:9 cinematic, shallow depth of field, fine grain.

2. Action — Parkour Urban Chase

A young woman in a grey hoodie sprints across rain-slicked rooftops at dusk, leaping between buildings with precise athletic grace. Handheld tracking shot following from behind, then cuts to a low-angle facing shot as she vaults a railing. [0-5s] chase sequence, [5-8s] she glances back over her shoulder. Blue-grey twilight with orange practical lights from windows below. Tense, breathless mood. 16:9, photorealistic.

3. Brand Ad — Luxury Watch

A titanium mechanical watch with exposed gear movement lies on a polished black marble surface, water droplets scattered around it. Camera performs a slow 360° orbital macro shot, rising from table level to overhead. Single overhead spotlight with tight beam, perfect specular highlights on the sapphire crystal and brushed case. Ultra-premium watch commercial look, extreme macro depth of field, 16:9 photorealistic, 4K.

4. Nature — Autumn Forest Timelapse

A dense forest canopy transitions from peak golden autumn foliage to bare winter branches in a compressed timelapse. Static wide shot looking straight up at the treetops, leaves falling and swirling in wind. Soft overcast diffused light throughout, color shifting from warm amber to cool grey-blue as season advances. Peaceful, melancholic documentary mood. Photorealistic, 16:9.

5. Sci-Fi — Deep Space Docking

A sleek silver spacecraft with glowing blue ion thrusters approaches a massive rotating space station against a star-filled nebula backdrop. [0-4s] wide establishing shot, both vessels tiny against the galaxy. [4-8s] slow dolly in to docking port, mechanical clamps extending. [8-10s] lock confirmed, connection sparks. Cold blue-white interior lights, warm amber nebula in background. Epic orchestral tension, cinematic widescreen 21:9, photorealistic CGI.

6. Food — Hero Shot Slow Motion

A perfectly seared wagyu steak is plated on a dark slate board; a chef's hand pours a glossy red wine reduction from a silver ladle in slow motion, sauce cascading and pooling around garnishes. Camera: static overhead then cuts to low side-angle macro. Warm key light from the left casting dramatic shadow, steam wisping upward. Rich, appetizing commercial food photography aesthetic. 1:1 square, 4K, shallow DOF.

7. Music Video — Neon Dance

A solo dancer in a white bodysuit performs sharp contemporary choreography inside a pitch-black studio. Multiple ring lights in saturated pink and teal create colored shadows on a reflective floor. Camera orbits slowly during slow phrases, then cuts to rapid close-up fragments on each beat accent. [0-5s] full body, [5-8s] hands and face montage, [8-10s] wide freeze frame. High contrast, 9:16 vertical for social, stylized music video aesthetic.

8. Travel — Golden Hour Aerial

A drone glides at low altitude along the edge of Santorini's white-washed clifftop village at golden hour, the caldera glowing copper-orange to the left, the Aegean deep blue to the right. Smooth forward tracking at 20 km/h, gradually descending from rooftop level to street level. Warm golden-orange key light with long shadows, slight haze in the distance. Wanderlust travel film mood, cinematic 2.39:1, photorealistic.

9. Horror — Atmospheric Tension

A narrow Victorian hallway lit by a single bare bulb that flickers on and off. The camera creeps slowly forward in first-person POV toward a closed door at the end. Each flicker reveals the door slightly closer. [0-6s] slow approach, [6-9s] door handle rattles on its own, [9-10s] door swings open to darkness. Cold desaturated color grade with occasional warm flicker. Oppressive silence broken by faint scratching. 16:9, high contrast, fine grain.

10. Comedy — Pet Reaction

A fluffy orange tabby cat sits on a kitchen counter, watching a cucumber placed silently beside it by an offscreen hand. [0-2s] cat notices cucumber, [2-4s] slow double-take, [4-6s] explosive leap off the counter in slow motion, fur puffed out. Bright natural daylight from a window, warm and cheerful. Static camera then slow-motion playback. Comedic timing, clean domestic setting, 9:16 vertical, photorealistic.