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Sora 2 Prompts

A curated library of Sora 2 style prompts for realistic motion, physics, and cinematic scenes. OpenAI is sunsetting Sora, so the example outputs here are recreated with today's state-of-the-art video models in VideoGen, where every prompt on this page still runs.

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Salesforce
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Google
Amazon
Michigan
TikTok

Realistic motion and physics prompts

Sora 2 became known for believable physics: weight, momentum, and material behavior. These prompts lean on that strength, and the bound examples show the same prompts generated with current models.

Dynamic multi-shot chase: a parkour runner vaults across Moroccan rooftops at dusk, camera whips between wide drone shots and close handheld follows, footsteps and wind audible

Dynamic multi-shot chase: a parkour runner vaults across Moroccan rooftops at dusk, camera whips between wide drone shots and close handheld follows, footsteps and wind audible

Generated with Seedance 2.0 in VideoGen

Body weight and momentum are where physics-strong models shine. Name both camera distances explicitly.

A paper origami crane on a desk slowly unfolds, reshapes itself, and takes flight through an open window into a paper-craft world, whimsical multi-shot sequence

A paper origami crane on a desk slowly unfolds, reshapes itself, and takes flight through an open window into a paper-craft world, whimsical multi-shot sequence

Generated with Kling v3 in VideoGen

Material transformation prompts test physical plausibility. Keep one material as the through-line.

A glass of iced tea knocked off a picnic table in slow motion, liquid and ice separating mid-air, condensation droplets catching sunlight, grass below, ambient summer sounds

A glass of iced tea knocked off a picnic table in slow motion, liquid and ice separating mid-air, condensation droplets catching sunlight, grass below, ambient summer sounds

Generated with Seedance 2.0 in VideoGen

Liquids in slow motion are the classic physics stress test. Describe every element you expect to see mid-air.

Cinematic storytelling prompts

Scene-setting prompts with a clear emotional register. Sora-style prompting favors concrete visual detail over abstract adjectives.

Cinematic wide shot of an astronaut walking through red desert dunes toward a distant landing capsule, heat shimmer, dramatic score

Cinematic wide shot of an astronaut walking through red desert dunes toward a distant landing capsule, heat shimmer, dramatic score

Generated with Kling v3 in VideoGen

One subject, one destination, one atmosphere effect. Restraint reads as cinematic confidence.

Close-up of raindrops racing down a train window at dusk, focus pulls to a passenger's reflection as city lights streak past, melancholic piano

Close-up of raindrops racing down a train window at dusk, focus pulls to a passenger's reflection as city lights streak past, melancholic piano

Generated with Kling v3 in VideoGen

A focus pull described in words ('focus pulls to') gives you an in-camera transition without a cut.

Handheld found-footage style shot of a long dark hallway, a single red balloon floats slowly toward the camera, flickering fluorescent light, low ominous hum

Handheld found-footage style shot of a long dark hallway, a single red balloon floats slowly toward the camera, flickering fluorescent light, low ominous hum

Generated with Seedance 2.0 in VideoGen

Naming the genre ('found-footage') sets camera shake, grain, and pacing without extra description.

Dialogue and sound prompts

Sora 2 generated synchronized audio alongside the video. Current models in VideoGen do the same: quote the spoken line and describe the ambience.

Warm kitchen scene: a grandmother teaches her grandson to fold dumplings, she laughs and says 'Not too much filling, patience!', flour dust catches the window light

Warm kitchen scene: a grandmother teaches her grandson to fold dumplings, she laughs and says 'Not too much filling, patience!', flour dust catches the window light

Generated with Seedance 2.0 in VideoGen

Emotion cues around the line ('she laughs and says') shape the voice performance, not just the words.

A taxi driver glances in the rearview mirror at night and says 'First time in the city?', rain on the windshield, wipers keeping rhythm, distant sirens

A taxi driver glances in the rearview mirror at night and says 'First time in the city?', rain on the windshield, wipers keeping rhythm, distant sirens

Generated with Seedance 2.0 in VideoGen

Rhythmic ambient sounds (wipers, sirens) give the audio mix structure around a single spoken line.

A climber reaches a snowy summit, pulls off her goggles and whispers 'We actually made it', wind gusts, rope clinking on the harness, breath visible in cold air

A climber reaches a snowy summit, pulls off her goggles and whispers 'We actually made it', wind gusts, rope clinking on the harness, breath visible in cold air

Generated with Seedance 2.0 in VideoGen

Whispered lines test audio nuance. Pair them with quiet, textured ambience so the whisper carries.

Ad and social prompts

Commercial-style prompts for product moments and vertical social clips. Swap the bracketed product for your own.

Luxury perfume commercial: liquid gold ribbons swirl around a crystal bottle in slow motion, then snap into the logo etching as orchestral swell peaks

Luxury perfume commercial: liquid gold ribbons swirl around a crystal bottle in slow motion, then snap into the logo etching as orchestral swell peaks

Generated with Seedance 2.0 in VideoGen

Syncing a visual beat to an audio beat ('snap into the logo as the swell peaks') is what makes ads feel edited.

Vertical 9:16 clip: [a canned sparkling water] cracked open in extreme close-up, fizz erupting in slow motion against a summer sky, crisp carbonation sounds

Vertical 9:16 clip: [a canned sparkling water] cracked open in extreme close-up, fizz erupting in slow motion against a summer sky, crisp carbonation sounds

Generated with Seedance 2.0 in VideoGen

One product, one satisfying action, one sound. Vertical ad clips reward radical simplicity.

Vertical street-style interview setup outside a coffee shop, a stranger grins at the camera and says 'Okay that's actually good', natural city ambience, morning light

Vertical street-style interview setup outside a coffee shop, a stranger grins at the camera and says 'Okay that's actually good', natural city ambience, morning light

Generated with Seedance 2.0 in VideoGen

UGC-style prompts work when the reaction is specific and small. Overwritten reactions read as fake.

How to write prompts for Sora 2

  1. Prompt the physics, not just the picture

    Sora-style prompting describes how things move and behave: weight, momentum, liquid separation, fabric in wind. Models reward prompts that specify the physical event you want to see, not just the composition.

  2. Structure as subject, action, camera, mood, audio

    Concrete beats abstract. 'A glass knocked off a table in slow motion, liquid separating mid-air' generates better than 'a beautiful dramatic moment'. Keep one physical event per clip and let the camera serve it.

  3. Quote dialogue and stage it

    Put spoken lines in quotation marks and describe how they are delivered: laughed, whispered, said over a shoulder. The staging cue shapes the generated voice performance as much as the words do.

  4. Run Sora prompts on current models

    OpenAI announced the Sora API sunsets on September 24, 2026. Sora-style prompts transfer directly to current models like Seedance 2.0, Kling v3, and Veo 3.1, which is exactly how the example outputs on this page were generated in VideoGen.

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Frequently asked questions

Run these prompts in VideoGen.

Sign in to generate clips from any prompt in this library, then build them into finished videos with narration, music, and captions.