Kling 3.0 Prompt Guide: Multi-Shot, Dialogue and Omni Prompts That Work

You typed a prompt into Kling, hit generate, and the result looked nothing like what you had in mind. The character moved wrong, the camera did something random, and the clip felt generic. The model can produce great footage. The problem is almost always the prompt.

Kling 3.0 changed what a prompt can do. You can now write several shots into one generation, give characters spoken lines, and point to saved reference “elements” by name. This Kling AI prompt guide covers the structure that works, what is new in Kling 3.0 prompting, and examples you can copy and adapt.

What Kling 3.0 Can Do (and Why It Changes Your Prompts)

Kuaishou launched Kling 3.0 and Kling 3.0 Omni in February 2026. The features that affect how you write prompts:

• Flexible length from 3 to 15 seconds. You pick the duration, so your prompt needs enough action to fill it.
• Multi-shot in one generation. Up to six shots, each with its own framing, camera move and duration. Kling can plan the cuts for you (Multi-Shot) or follow your shot list (Custom Multi-Shot).
• Native audio. Dialogue, sound effects and ambience come out with the video. Spoken lines work in Chinese, English, Japanese, Korean and Spanish, with American, British and Indian English accents.
• Omni references. Kling 3.0 Omni lets you save images or a short video of a character as an “element,” then call it in the prompt with @ and its name. You can also bind a voice sample to that character.
• 1080p and 720p output, plus start and end frame control in image-to-video.

Kling is still strongest where it always was: camera motion and physical movement with real weight. Hair bouncing, fabric swinging, a body shifting weight during a turn. The difference is that you can now chain those moments into a short scene instead of one continuous take.

The Kling Prompt Structure: 5 Layers

For a single-shot clip, this order works well:

Scene, then Characters, then Action, then Camera, then Audio and Style

Kling’s own guidance is to anchor your subjects early, so set the environment and subject first, then add movement and technical direction. This is the Kling version of the universal prompt formula.

Layer 1: Scene

Set the environment: time of day, location, weather, light.

A dimly lit jazz club interior, warm amber stage lights cutting through thin haze, wooden tables scattered in the foreground

Layer 2: Characters

Who is in the frame. Be specific about appearance, clothing and position, and use the same wording every time the character appears.

A man in his fifties wearing a rumpled charcoal suit and thin silver-framed glasses, sitting behind a grand piano

Layer 3: Action

What happens, as a physical sequence. This is where Kling shines.

His fingers move across the keys with practiced ease, his head tilting with the melody, shoulders swaying

Layer 4: Camera

Use standard film terms and always give a speed.

Slow dolly forward from a medium-wide shot to a close-up on his hands, shallow depth of field, the background softening as the camera approaches

Layer 5: Audio and Style

With native audio on, sound is part of the prompt, not an afterthought.

Soft piano jazz fills the room, muffled conversation and clinking glasses in the background. Film grain, muted warm palette, shot on 35mm

What’s New in Kling 3.0 Prompting

Three techniques did not exist in older Kling versions. They are where most people leave quality on the table.

1. Write Shots, Not Paragraphs

In multi-shot mode, label each shot and give it a size, an angle, a camera move and one action. Kling’s own guide uses exactly this pattern (“Shot 1, low-angle rear wide shot, tracking behind the rider…”). Describe the main subject the same way in every shot so the character does not drift.

Shot 1 (4 seconds): Low-angle wide shot from behind a delivery rider in a yellow rain jacket on a red scooter, tracking behind him as he weaves through a rainy night street full of neon signs. Rain hisses on the asphalt, scooter engine whines.

Shot 2 (4 seconds): Side close-up of the rider in the yellow rain jacket, water streaming off his helmet visor, eyes narrowing as he spots a gap between two buses. Camera moves alongside at his speed.

Shot 3 (4 seconds): First-person POV from the scooter handlebars, shooting through the gap between the buses as headlights flare. A horn blares, then the engine roars louder.

Tips for multi-shot prompts:

• Give durations that add up to your total clip length.
• One camera move per shot. Stack three moves into a 3-second shot and you get motion soup.
• Repeat the character anchor (“the rider in the yellow rain jacket”) instead of switching to “he” or “the guy.”
• Use real cut types like shot-reverse-shot, POV and insert close-up. Kling understands them.

2. Format Dialogue So Kling Knows Who Is Talking

When native audio is on, say who speaks, how they sound, and in what order. The format that works best labels each character with a role and a tone, then gives the line in quotes:

Medium two-shot in a cramped police interrogation room lit by one flickering fluorescent tube. [Character A: Detective, calm and cold]: "You were there at midnight." Immediately, [Character B: Nervous young man, shaky voice]: "I was home. I swear." The camera slowly pushes in on the young man as he wipes sweat from his lip. Buzzing light, a clock ticking.

The word “Immediately” tells Kling to play the reply with no pause. Leave it out and it adds a natural gap between speakers. Keep lines short: a punchy six-word line syncs much better than a 20-word sentence.

You can combine this with multi-shot for a classic conversation:

Shot 1 (3 seconds): Two-shot of a woman and a man at a cafe table, soft morning light through the window.
Shot 2 (4 seconds): Close-up of the woman, worried tone: "Are you sure this is legal?"
Shot 3 (4 seconds): Reverse close-up of the man, sly smile, deep southern voice: "Nobody will ever know."

3. Call Omni Elements With @

In Kling 3.0 Omni you upload reference images (up to 7) or one reference video of 3 to 10 seconds plus images, and save them as named elements. Then you refer to them in the prompt with @. Kling recommends a 3 to 8 second clip for a character video element, and you can attach a 5 to 30 second voice sample so the character keeps the same voice.

@Grace walks into the empty dance studio carrying a gym bag, drops it by the mirror and starts stretching. Medium shot, slow push-in, late afternoon sun through tall windows. @Grace says quietly, "One more time." Soft echo of her footsteps, distant traffic outside.

Rules for element prompts:

• Let the element carry the look. Do not re-describe her face or outfit in text. Spend the words on action and camera.
• Name elements clearly (“@Boxer A”, “@Boxer B”) when two similar characters share a scene.
• Match the reference to the prompt. A calm reference video and a prompt asking for a frantic sprint will fight each other.

7 Kling 3.0 Prompt Examples

Each uses the five-layer structure. Copy, swap the details, generate.

1. Cinematic Character Introduction

A rainy Tokyo street at night, neon signs reflecting in puddles on the asphalt. A young woman in a long black coat stands at a crosswalk, her dark hair damp against her shoulders. She looks up slowly as the walk signal turns green, then steps forward into the street. Tracking shot following her from the side at walking pace, medium shot, rain visible in the backlight of passing cars. Ambient city noise, rain hitting pavement, distant traffic. Deep teal shadows and warm orange highlights.

Why it works: scene first, specific physical details, a clear action, and a tracking shot that plays to Kling’s camera strength.

2. Product Showcase

A minimalist white table in a bright studio, soft diffused overhead light with no harsh shadows. A matte black wireless headphone sits centered on the table and slowly rotates 180 degrees, revealing the cushioned ear pad and brushed metal hinge. Smooth orbital camera movement at table height, close-up, shallow depth of field. A soft whoosh as the rotation ends. Clean commercial look, sharp focus on the product.

3. Found-Footage Viral Clip

Doorbell camera footage of a suburban front porch at dusk, fisheye lens distortion and a timestamp in the corner. A fat orange cat sits on the welcome mat staring at the door. A delivery driver walks up with a box, and the cat stands, arches its back and slowly steps onto the box as it is set down, refusing to move. The driver freezes, then backs away. Static wide angle, slightly grainy low-light image. Include a faint meow, footsteps on concrete and the driver muttering "okay, okay."

Why it works: the doorbell camera style gives viewers a reason to accept imperfect image quality, and the action has a clear beat-by-beat payoff.

4. Action Sequence

A parkour athlete in a gray hoodie and black joggers on a concrete rooftop at golden hour, city skyline behind him. He sprints toward the edge, plants his foot on the ledge, and leaps across a six-foot gap to the next building, landing in a roll and springing back to his feet. Handheld tracking shot following from behind, slight camera shake, wide-angle perspective. The thud of sneakers on concrete, wind rushing past. Raw documentary feel, desaturated color.

Why it works: sprint, plant, leap, land, roll, spring. Giving Kling a physical chain to follow is better than one vague verb like “jumps.”

5. Nature and Wildlife

A misty mountain valley at dawn, first sunlight breaking over the ridgeline, pine trees fading into blue-gray fog. A red fox trots across a mossy clearing, pausing to sniff the air, ears rotating forward. Slow crane shot rising from ground level to reveal the whole valley behind the fox. Wind in the pine needles, distant birdsong. Documentary style, natural color palette.

6. Abstract and Artistic

An infinite black void. A single drop of glowing blue liquid falls in slow motion, hits an unseen surface and bursts into a symmetrical crown splash. Tendrils of blue rise and curl like smoke before freezing in place. Extreme close-up, macro perspective, the camera slowly orbiting the frozen splash. Deep bass thump on impact, then silence. High contrast, bioluminescent blue against pure black.

7. Period Piece

A candlelit stone library in a medieval monastery, leather-bound books lining the walls, dust floating in the warm light. An elderly monk in a brown wool robe sits at a heavy oak desk, writing on parchment with a quill, his hand slow and steady. Slow push-in from a wide shot to a close-up on the quill tip, golden candlelight carving deep shadows into his face. The scratch of quill on paper, distant chanting echoing down stone corridors. Rembrandt lighting, rich amber and brown tones.

Tips for Better Kling Prompts

Keep each shot to one idea

A clear subject, one action sequence and one camera move per shot. Add a second character doing something different while the camera whip-pans and the style shifts, and the output falls apart. If you need more beats, use multi-shot instead of cramming them into one.

Describe movement step by step

Instead of “she dances,” write “she spins slowly on her left foot, her right arm extending outward, her skirt flaring with the turn.”

Qualify camera speed

“Pan left” and “slow pan left” give different results. Always add slow, steady, fast or sudden.

Use negative prompts where you have them

Kling’s API exposes a negative prompt parameter (its default is “blur, distort, and low quality”), and many apps that run Kling show it as a separate box. Use it for artifacts, not for story instructions:

blurry, distorted face, extra fingers, jittery movement, text overlay, watermark

For more, see our negative prompts guide.

Clean reference images

For image-to-video and Omni elements, use well-lit images with the subject clearly visible and no clutter. Busy backgrounds confuse the model.

Get Structured Kling Prompts Faster

Writing five-layer prompts, shot lists and dialogue by hand takes time, especially when you want several versions of one idea. That is why I built LzyPrompt. You type your idea in plain words, like “cat refuses to let the delivery guy leave,” and get 10 full prompt variations with camera style, setting, lighting, action beats, imperfections and sound cues, plus a caption for each. They are plain text, so you paste them straight into Kling or any other model. See sample outputs on the Kling AI prompt generator page, or try LzyPrompt free for 7 days.

FAQ

What is the best prompt length for Kling 3.0?

For a single shot, 50 to 120 words is a good range: enough to control subject, action, camera and sound without burying the important parts. Multi-shot prompts run longer, but keep each shot to one or two sentences.

How many shots can Kling 3.0 do in one generation?

Up to six, inside a total length of up to 15 seconds. Use Custom Multi-Shot to set each shot’s duration, framing and camera move yourself, or let Kling plan the cuts automatically.

Can Kling 3.0 make characters talk?

Yes. Native audio supports dialogue in Chinese, English, Japanese, Korean and Spanish. Label each speaker with a role and tone, put the line in quotes, and use “Immediately” when one line should follow another without a pause.

What is the difference between Kling 3.0 and Kling 3.0 Omni?

Both support multi-shot and native audio. Omni adds multimodal references: saved image or video elements you call with @names, plus voice binding, so a character keeps the same face and voice across generations.

Does Kling support negative prompts?

The Kling API has a negative prompt parameter, and many interfaces show it as a separate field. Use it for visual artifacts like blur, distorted faces and watermarks. For everything else, describe what you want to see.

Is Kling better than Veo 3.1?

They are good at different things. Kling 3.0 is the better pick for multi-shot sequences, action and physical motion within 15 seconds. Veo 3.1 is stronger on single cinematic shots with dialogue, and it has first and last frame control and clip extension. See our Veo 3.1 prompt guide and the 2026 AI video generator comparison. If you are moving over from Sora, which OpenAI has shut down, read the Sora shutdown alternatives guide.