Turn a seed idea into a polished AI video-generation prompt. Picks the right mode — T2V (text-to-video), I2V (image-to-video), or V2V (video-to-video) — then builds the prompt: for T2V, an 8-part structure [medium] + [shot] + [angle] + [movement] + [focus] + [subject] + [lighting] + [color]; for I2V, a shorter motion-first structure. Use whenever the user wants a prompt for generating video with any model — Sora, Veo, Runway, Kling, Pika, Luma/Dream Machine, Hailuo/MiniMax, Wan, Seedance, or unnamed — or asks to 'write a video prompt,' 'make a prompt for this clip,' 'animate this image,' 'improve my video prompt,' or gives a rough motion idea ('a samurai on a neon rooftop,' 'my logo forming from smoke') and wants it video-ready. Also trigger when the user asks why their generated video looks static, frozen, or like a moving JPEG, or how to describe camera moves.
Instrucciones de origen · Vista previa de solo lectura
name
ai-video
description
Turn a seed idea into a polished AI video-generation prompt. Picks the right mode — T2V (text-to-video), I2V (image-to-video), or V2V (video-to-video) — then builds the prompt: for T2V, an 8-part structure [medium] + [shot] + [angle] + [movement] + [focus] + [subject] + [lighting] + [color]; for I2V, a shorter motion-first structure. Use whenever the user wants a prompt for generating video with any model — Sora, Veo, Runway, Kling, Pika, Luma/Dream Machine, Hailuo/MiniMax, Wan, Seedance, or unnamed — or asks to 'write a video prompt,' 'make a prompt for this clip,' 'animate this image,' 'improve my video prompt,' or gives a rough motion idea ('a samurai on a neon rooftop,' 'my logo forming from smoke') and wants it video-ready. Also trigger when the user asks why their generated video looks static, frozen, or like a moving JPEG, or how to describe camera moves.
AI Video Prompts
A method for expanding a seed idea into one high-quality video-generation prompt, adapted from GenHQ's video prompting structure. It works for any model (Sora, Veo, Runway, Kling, Pika, Luma, Hailuo, Wan, Seedance) and any look — cinematic live-action, animated 3D, anime, VHS footage.
Think like a director, not a photographer
A still-image prompt describes a frozen moment. A video prompt must describe two layers over time:
The World — the subject and environment, and above all the action: what moves inside the frame (a character smiles, wind blows the trees, a car explodes). If you never describe motion, the model returns a near-frozen shot that looks like a moving JPEG.
The Lens — the camera as an observer: is it locked off and watching, creeping in, flying over, orbiting?
The prompt comes alive when you combine them intentionally. Two quick rules keep every clip from going dead:
If the subject is still, move the camera (to keep it interesting).
If the camera is still, move the subject (to keep it alive).
First, pick the mode
Mode
Meaning
Use when
T2V
Text-to-Video — start from nothing
The user has only an idea, no image
I2V
Image-to-Video — lock in an exact look, then animate it
The user has (or will make) a starting frame
V2V
Video-to-Video — transform an existing clip
The user has footage to restyle or alter
If the user supplies or references an image, default to I2V. Otherwise use T2V. Ask only if it's genuinely ambiguous.
T2V structure — the "burger" formula
Build the prompt in layers. Output one prompt in this order:
Write it as flowing cinematic description (not literal bracket labels), ideally 60–140 words. Not every field needs a keyword every time, but [movement] and [subject] action are mandatory — they are what make it a video.
[medium] — type and style of the video
The format and texture. Cinematic live-action, animated 3D render, 2D anime, or an analog film stock for organic grain and history:
Stock
Look
Best for
8mm / Super 8
Heavy grain, soft focus, flicker, warm nostalgic color, jittery edges
Memories, home-movie, indie music videos
16mm
Notable grain, raw gritty texture, high contrast, doc-style color
Indie drama, 70s crime thriller, raw fashion
35mm
Fine grain, rich dynamic range, creamy skin tones, classic depth
Camera doesn't move. Great for subtle motion (rain, wind, a blink)
Pan (L/R)
Swivels like turning your head — follow action, reveal a landscape
Tilt (up/down)
Angles like nodding — look up a skyscraper, down at feet
Jib / crane (up/down)
Physically changes height through the air (unlike a tilt, which only changes angle)
Push-in (dolly in)
Physically moves forward — builds intensity or focus
Pull-out (dolly out)
Physically moves backward — reveals, or ends a scene
Truck (L/R)
Slides sideways — travel beside a walking character
Orbit / arc
Circles the subject — makes them epic, heroic, isolated
Zoom
Lens magnifies, camera stays put (flatter and faster than a push-in; name it explicitly so the model doesn't confuse the two)
Handheld
Raw and chaotic — documentaries, high-stress scenes
Advanced moves for specific emotions:
Move
Effect / vibe
FPV drone
Flies fast and aggressive like a bird or jet — adrenaline, chasing, diving
Barrel roll ("vortex")
Rotates 360° on its axis, horizon spins — disorienting, dream-like, sci-fi
Dolly zoom ("Vertigo"/Hitchcock)
Moves in while zooming out (or vice versa); subject stays, background warps — panic, dread, realization
Crash / snap zoom
Zooms in almost instantly with motion blur — comedic shock, sudden intensity
God's eye view
Straight-down 90° top view, world as a flat map — clinical, detached, geometric
Bullet time (frozen orbit)
Subject frozen mid-motion while camera orbits 360° — superhuman, "The Matrix"
[focus] — sharpness of the image
Code
Focus
Vibe
RF
Rack focus
Shifts focus between subjects — redirecting attention
DF
Deep focus
Everything sharp — objective
SF
Shallow focus
Blurry background bokeh — intimate
SPD
Split-field diopter
Two separate planes sharp at once — surreal
[subject] — what action is happening
Who or what, plus what they do over time. This is the beating heart of the clip: "a lone samurai draws his blade and turns," "the barista slides the cup forward as steam curls up," "the car drifts around the corner, tires smoking." Include key descriptors (age, build, wardrobe, expression) and a clear, dynamic action.
[lighting] — mood, subtext, texture
Style
Vibe / best for
Chiaroscuro (high-contrast)
Deep shadow vs. bright highlight — dramatic, moody; film noir, thrillers
Three-point (key/fill/back)
Studio-clean — professional; interviews, character intros
Motivated
Mimics a real in-scene source (lamp, window) — realistic, grounded; period drama
Neon noir (cyberpunk)
Vibrant artificial color on dark grit — electric; sci-fi cities, clubs
High-key
Flooded with light, few shadows — upbeat, airy; comedy, dream sequences
Low-key
Dominated by shadow — suspenseful, scary, intimate; horror, standoffs
Volumetric ("god rays")
Beams through dust/fog/smoke — ruins, churches, morning forests
Color gels
Colored wash over a scene (e.g. red gel = danger) — music videos, stylized horror
Rim / hair light
Glowing backlit outline separating subject from background — heroic silhouettes
Rembrandt
Small triangle of light on the shadowed cheek, 45° key — painterly portraits
Butterfly
Key light above and in front, small shadow under the nose — Hollywood glamour
Smoke or fog adding visible beams and depth — dream sequences, dystopia
[color] — how color tells the story
Palette
Vibe
Orange & teal
The "blockbuster" look — cinematic, professional
Monochromatic
Shades of one color — obsessive, dreamlike, claustrophobic (The Matrix)
Analogous (neighbors: red/orange/yellow)
Harmonious, natural, comforting
Complementary (opposites: purple/yellow)
Vibrant, high-energy, conflicting
I2V structure — motion-first, and shorter
When a starting image exists, the frame already bakes in ~70–80% of the visual (subject, pose, lighting, style). Over-describing the scene fights the input and causes drift. Describe only what should change over time:
[action/sequence] — what the subject does: "slowly draws sword and strikes," "accelerates through the tunnel then drifts," "subtle smile, then waves and walks away."
[subject/environment shifts] — how they change: "expression shifts from serious to joyful," "hair flows in the breeze," "leaves scatter across the floor."
[camera movement] — one clear move: "slow 360° orbit," "gentle pull-out revealing the landscape," "static locked-off with a subtle push-in."
[technical specs] — aspect ratio, "natural motion, no warping," shallow depth of field, filmic color grade.
Keep it tight — usually 25–70 words.
V2V — transforming an existing clip
The source video supplies the motion and composition. Describe the target transformation: the new medium/style, palette, lighting, or era to map onto the existing footage (e.g. "restyle this handheld street footage as 1980s VHS neon-noir anime, preserve the original motion"). Keep camera and action language minimal — the input already carries them.
Output rules
Output the finished prompt inside a Markdown code block so it's easy to copy. For T2V/V2V write flowing prose; for I2V use the comma-separated segments above.
Lead with the mode when it isn't obvious (e.g. a one-line "I2V prompt:" label above the block).
Always include motion — camera move, subject action, or both. A prompt with neither is the #1 cause of dead clips.
Adapt fields to the seed; don't force analog-film or portrait-lighting terms onto ideas that don't want them.
Match the model's known limits when named (clip length, whether it takes negative prompts or audio cues); otherwise stay model-agnostic.
Working with the user
One seed, one prompt. For variations, give each as its own complete prompt in its own code block — e.g. an "observer" version (subject moves, camera static) and a "tracking" version (both move).
Respect stated choices. If the user names a medium, shot, or camera move, fix that field and infer only the rest.
Diagnosing weak or static video: map the prompt onto the structure. A frozen result almost always means missing [movement] or missing [subject] action — add motion rather than piling on adjectives. Warping or a "fighting" look in I2V usually means the prompt over-described the baked-in scene — cut it back to what changes.
