Kling 3.0 Prompts: The Complete Guide to AI Video Generation
Kling 3.0 is the most capable AI video model we've seen. It understands cinematic language, generates native audio with dialogue, supports multi-shot sequences up to 15 seconds, and maintains character consistency across scenes. But getting great results requires knowing how to prompt it.
This guide covers everything you need to write effective Kling 3.0 prompts — from basic structure to advanced multi-shot sequences with dialogue. Every example prompt below is available in our Kling 3.0 prompt library where you can copy them and generate instantly.
What's New in Kling 3.0
Before we dive into prompting, here's what makes Kling 3.0 different from previous AI video models:
- Multi-shot generation — Up to 6 distinct shots in a single output. No more stitching clips together.
- Native audio — Dialogue, ambient sound, and voice tone control built into the model. Characters actually speak.
- 15-second duration — Long enough for narrative development, not just quick loops.
- Character consistency — Define a character once and the model maintains their appearance across shots.
- Image-to-video — Use any image as the first frame and animate from there. Text, logos, and fine details are preserved.
Basic Prompt Structure
If you're new to Kling 3.0, start simple. The model is surprisingly good at interpreting high-level direction.
Even short prompts work because Kling 3.0 is trained to understand cinematic intent, not just visual descriptions. It knows what "action scene" or "car drifting" looks like cinematically.
Generate a one-shot car drifting action scene.
That's it. Kling 3.0 infers the rest — characters, setting, pacing. You don't need to describe every frame.
Think in Shots, Not Clips
This is the biggest shift from older AI video models. Kling 3.0 supports multi-shot generation — you can describe a sequence of shots and the model handles transitions, pacing, and continuity.
The model understands standard cinema terminology: profile shots, macro close-ups, tracking shots, POV, low-angle, wide shot, medium shot. Use them freely — Kling 3.0 was trained on film.
Shot 1: A side profile, medium shot of a muscular man in athletic wear,
intensely dribbling a basketball on an outdoor court under a bright blue sky.
Shot 2: A dynamic, low-angle wide shot showing the man jumping high into
the air, performing a backflip while holding the basketball.
Shot 3: A close-up, slow-motion shot of the man mid-air and upside down
during his flip, showing his focused expression.
Shot 4: A dramatic, low-angle shot focusing on the basketball hoop as
the man powerfully dunks the ball into the net.
Pro tip: Keep 4-6 shots for a 10-15 second video. More than 6 shots in under 10 seconds feels rushed.
Camera Work That Actually Works
Kling 3.0 handles camera direction better than any AI video model we've tested. The key is describing both subject movement and camera behavior together.
Impossible Camera Angles
One of the most powerful things about AI video is placing cameras where real cameras can't go:
POV flight from a golden eagle soaring over vast mountainous steppe
landscapes. Camera locked to the eagle's head with clean, precise
tracking — stable forward motion, no jitter. The eagle actively flaps
its wings, powerful wingbeats transitioning into smooth gliding. Wings
and feathers visible at the frame edges, moving naturally in rhythm.
Camera Rig Simulation
You can reference real filmmaking equipment and Kling 3.0 understands:
Shot 1: A low-angle shot of a spinning race car wheel at night.
The camera is secured by a heavy-duty suction cup car mount (rig grip)
directly to the lower side panel of the chassis.
Shot 2: A dynamic tracking shot from the side of the car. The camera
is attached via a side-door camera rig, looking forward toward the track.
Terms that work well: tracking shot, dolly in, crane shot, handheld, steadicam, Dutch angle, whip pan, rig-mounted, suction cup mount.
Key rule: Always describe camera movement in relation to the subject. "Camera follows" is better than just "camera moves right."
Describe Motion Explicitly
Don't assume the model will add motion. Be specific about what moves and how.
Weak: "A cheetah in a field"
Strong:
The animal accelerates into a full sprint across the grassy field.
Powerful hind-leg extensions, visible spine compression and release,
tail counterbalancing each stride. Grass bends, flattens, and snaps
back under impact; dirt and small debris kick up naturally.
For action scenes, describe the physics — what happens on impact, what flies through the air, how things react:
The player being tackled by an opponent in a white uniform. The impact
is heavy, with grass and dirt flying into the air. The player's upper
body as he breaks through the tackle, clutching the football tightly.
Kling 3.0 respects physics descriptions remarkably well. Debris, particles, water splashes, glass shattering — describe it and the model delivers.
Using Audio and Dialogue
This is Kling 3.0's killer feature. The model generates synchronized audio — dialogue, ambient sound, and voice tones.
Audio Guidelines
Character Labels — Use unique, consistent labels like "[Character A: Black-suited Agent]" instead of vague pronouns like "he says... then, he says..."
Voice Descriptions — Give each character a distinct voice: "[Character, raspy deep voice]" instead of generic descriptions.
Timing — Use linking words like "Immediately," "Pause," and "Meanwhile" to control pacing. Avoid vague sequencing.
Actions First — Always describe the action, then tag the dialogue to the character. Don't drop dialogue without visual context.
Dialogue Example
A tense kitchen scene. Character A (exhausted woman in scrubs, soft
frustrated voice) sets her keys on the counter: "I asked you to do
one thing." Character B (defensive man in a hoodie, slightly raised
voice) turns from the stove: "I was going to, I just—" Character A
cuts him off with a sigh, rubbing her temples.
The model maintains coherent lip movement and facial expressions. It even handles multiple languages, accents, and code-switching — you can have characters speak different languages in the same scene.
Pro tip: Assign unique, consistent character labels at the start. Avoid pronouns ("he/she") — use the character label every time for consistency.
Getting the Most From Longer Durations
Kling 3.0 supports up to 15 seconds of video. That's long enough for actual storytelling, not just flashy loops.
Shot 1: A profile medium shot of a woman in a dark coat standing under
an overhang during a rainstorm. She lights a cigarette.
Shot 2: A rapid, blurred tracking shot following a motorcycle speeding
past old brick buildings.
Shot 3: A low-angle ground shot as a motorcycle speeds through a narrow
alley. Small explosions burst from the sides of the buildings.
Shot 4: Close-up from the rear of the motorcycle, a large fireball
erupts on the city street behind.
Shot 5: Two motorcyclists weaving through city traffic. Fire bursts
erupt from manholes around them.
Shot 6: A motorcyclist driving toward camera. Behind them, a massive
explosion causes a building facade to collapse.
That's a complete 12-second action sequence with escalating tension — all from one prompt.
Duration recommendations:
- Simple scenes: 5-6 seconds
- Single action sequences: 8 seconds
- Multi-shot narratives: 10-12 seconds
- Complex dialogue scenes: 12-15 seconds
Image-to-Video: Start From Any Frame
Kling 3.0's image-to-video is exceptional. Upload any image and the model animates from there, preserving text, logos, fine details, and composition.
The key principle: Treat your input image as an anchor. Focus your prompt on how the scene evolves from the image, not what's in it.
Use the uploaded image as the exact first frame. Create an 8-second
ultra-dynamic, real-time macro food video. The camera starts extremely
low and close with shallow depth of field. Open with a sudden, aggressive
handheld macro push-in. Action: in one fast, confident motion, she grabs
a single onion ring and lifts it.
What works well as input images:
- Product shots (great for ads)
- Portrait photos (for character animation)
- Landscape/establishing shots (for cinematic reveals)
- Text/logo compositions (model preserves typography)
What to avoid: Images with complex layered text, multiple small faces, or very abstract compositions.
Example Prompts
Here are some of our favorite Kling 3.0 prompts across different categories. Each one is ready to copy and use.
Action & Explosions
Boxing Ring POV Knockout:
Create an 8-second ultra-dynamic POV shot. The camera is inside the boxing
ring, facing the fighter at head height. He launches forward and throws a
savage punch straight into the camera. On impact, the camera gets knocked
backward violently — we fall onto the canvas. At the exact moment we hit
the ground, a massive explosion erupts behind him. He steps into frame,
backlit by fire and smoke, and breaks into hysterical laughter.
Night Rain Car Chase:
A cinematic, high-speed car chase at night on a wet city street during a
rainstorm. Camera mounted on the front hood of a police car, capturing
flashing emergency lights. A silver sedan speeds away through traffic.
The chase reaches a climax when the sedan loses control, clips another
vehicle, and flips over spectacularly in mid-air.
Sports
Football Tackle Breakaway:
Cinematic, high-action footage of an American football game at night under
stadium lights. Close-up, low-angle tracking shot of a player in black and
gold sprinting down the field. He's tackled by an opponent — impact heavy,
grass and dirt flying. He breaks through the tackle and continues toward
the end zone with intense determination.
ASMR & Macro
Macro Onion Ring Crunch:
An 8-second ultra-dynamic real-time macro food video. Camera starts buried
between crispy onion rings with shallow depth of field. Sudden aggressive
push-in toward one ring as her hand enters frame. She grabs it, lifts it —
camera snap-tracks vertically. She bites decisively: batter cracks, crumbs
eject, micro oil droplets flick outward. Sound: sharp "CRRSHK" synced to
the bite.
Cinematic Training Sequences
Samurai Katana Training (6 shots):
Shot 1: Extreme close-up of a young woman's mouth, teeth clenched on a
wooden toothpick.
Shot 2: Medium shot in a Japanese courtyard at night, illuminated by
lanterns. She holds a katana in defensive stance.
Shot 3: Low-angle action — she jumps high, raising her katana to strike
a wooden training dummy.
Shot 4: High-speed impact — katana slicing through wood, splinters flying.
Shot 5: Tracking shot of her landing and immediately striking another target.
Shot 6: Medium close-up of her face, slightly breathless, sharp focused gaze.
Prompt Writing Checklist
Before you hit generate, run through this:
- Duration set? Match your duration to your scene complexity (5s simple → 15s narrative)
- Camera described? Include angle, movement, and relationship to subject
- Motion explicit? Don't assume — describe what moves and how
- Shots labeled? For multi-shot, use "Shot 1:", "Shot 2:", etc.
- Characters anchored? Define them at first mention, use consistent labels
- Audio included? If you want dialogue, describe voices and timing
- Physics described? For action scenes, describe impacts, debris, reactions
Start Generating
Ready to try these prompts? Head to the Kling 3.0 generator and paste any prompt from this guide. Or browse our complete Kling 3.0 prompt library for more inspiration — every prompt includes the generated video so you can see exactly what to expect.