Before video models with audio support appeared, creating AI video felt like the silent film era. Visuals were generated separately, and voiceover was added by hand through third-party services. Kling 2.6 Video offers video generation with sound in a single render — meaning the visuals, voice, background noise, and sound effects are created in sync with the picture, with no post-processing.
The model is integrated into GPTunneL's web interface for AI video models, where it supports short 5–10 second clips without a VPN or subscription. This guide is built on prompt tests and instructions from the developers, Kuaishou. We'll show which phrasings produce quality videos with dialogue and sound effects. You'll learn how to tie a voice to a character, control the camera and sound through the prompt, and get four ready-made scenarios to launch right now.
What's new in Kling 2.6: improvements in audio, motion, and scene stability
The workflow now revolves around a single prompt where you control not just the picture but the sound environment too. In the prompt you set five layers of audio:
- Who is speaking (character and role),
- What they say (the line in quotes),
- How they say it (pace, tone, manner),
- What's happening around them (background noise, e.g. rain on glass, street traffic),
- What sounds arise from actions (a chair creaking as someone turns, a lid clicking as it opens).
The more specific your sound description, the more accurately the model reproduces it. Instead of "noisy street," write "car horns + footsteps on asphalt + distant conversation."
Voices are managed through a "character → Voice ID" scheme: for serial clips, lock Voice1 to character A and Voice2 to character B, using the same parameters across every clip in the series.
The physics improvements affect small movements: a hand picks up an object without "clipping" through its texture, fabric reacts to wind and gait, liquids move without frame breaks. This works best when the scene is simple (one main subject, one action, one camera focus). Below is an example prompt with dialogue that demonstrates correct tagging of all layers. Customize this prompt in Creative.Lab to create your own video.
"Scene: a small room, warm light from a desk lamp, evening, rain outside the window. Characters: a woman in a plain dress by the window; a man at a table with books. Action: the woman walks to the window and stops; the man looks up and turns toward her. Camera: slow pan from the table to the window, no cut, 16:9, 10s. Dialogue: [Woman@Voice1: quiet, slow] "What happens next?" [Man@Voice2: low voice, steady] "It will be fine. We shouldn't stop". Sound: rain on glass (background); a light chair creak (SFX)".
Technical capabilities and settings for Kling 2.6 in Creative.Lab
Before your first generation, it's worth knowing the model's limits and the platform's settings so you don't waste credits.
Output limits: One clip runs 5 or 10 seconds. Quality targets 1080p. For dialogue and music, choose 10 seconds — that gives the model enough time to finish a phrase or a musical bar. For longer scenes, we recommend editing together several clips that repeat the same characters and location.
Aspect ratio: 16:9 (YouTube), 9:16 (Shorts/Reels), 1:1 (feeds/creatives), 21:9, 9:21, and 4:3 are all supported. The format is set through the Creative.Lab interface.
The model works in two modes:
- Text-to-video: Everything is controlled through the text prompt — scene, characters, action, camera, sound.
- Image-to-video: At most one uploaded image sets the look of the scene or character, and the prompt controls action, camera, and sound. For best results, use an image with one main subject, good lighting, and no clutter.
Below is an example video made from a pre-generated image and a prompt you can customize right now in Creative.Lab:
"On a rain-drenched city street at night, red neon signs "BAR" and "HOTEL" glow on opposite sides, their vivid reflections stretching across the wet asphalt like liquid fire. [Man in beige trench coat and dark pants] runs desperately after his black umbrella caught by the wind, his coat flapping behind him, feet splashing through puddles. The broken umbrella tumbles and spins through the air just out of reach. In the distant background, a silhouette of a woman with umbrella walks away. The camera tracks alongside the running man at street level, capturing the dynamic chase. Background: Heavy rain pouring down, wind howling, splashing footsteps on wet pavement, distant thunder. Cinematic noir atmosphere, deep blue-teal shadows contrasted with warm orange-red neon reflections on wet surfaces, shallow depth of field, dramatic low-angle lighting".
These two modes cover the main scenarios for creating short clips with native voiceover.
Audio and languages: Sound splits into two layers — speech and background+SFX. Voice generation is available only for English and Chinese. It's best to pick a voiceover language ahead of time and keep it consistent across a series of clips.
Match the number of character lines to the clip's length. For example, a 10-second clip with one character speaking rhythmically can fit about 7 short lines, while a 5-second clip should be trimmed to 2-4. The exact count depends on your case, but as a rule this keeps you clear of artifacts and overlapping lines. Here's an example prompt you can customize in the Lab right now, along with the generated video:
"Night street stage with bright spotlights, crowd in front. A rapper in dark hoodie stands at microphone, stage lights on his face. The camera slowly zooms in on his face. [Rapper, confident male voice, steady rhythm]: "City never sleeps. Beat keeps pounding. Heart keeps beating. We stand tall. We stay strong. This is our moment. This is our night." Background: Deep bass beat, steady pulse. Sound effects: Crowd clapping, sharp whistle".
If prompting feels tricky, use our assistant for building video model prompts, which turns your rough draft into a structured instruction (scene → characters → action → camera → sound).
How to get started: a step-by-step process
Making your first clip with native audio breaks down into five repeatable steps that help you avoid chaotic edits.
Step 1: Setup. Open Kling 2.6 in Creative.Lab → set the duration: 5 or 10 seconds → choose the aspect ratio → set the number of generation variants (1 to 4).
Step 2: Prompt. Paste your request into the input field. If it's not in English, run it through the assistant and check that the lines, roles, and sound sources weren't lost in translation.
Step 3: Generation. Start the render. Wait time is usually a few minutes, depending on platform load and audio complexity (dialogue and music render slower than a plain background). Open the preview as soon as it's available.
Step 4: Evaluation. Check the clip against three points:
- Do the roles and lines match the prompt?
- Is the action and camera path readable?
- Are there no extra objects or stray voices in the audio?
Step 5: Iteration. If you're not happy with the result, adjust one layer at a time: first the scene/characters (remove extra objects), then the action/camera (simplify to one action), then the sound (add 1–2 specific sources). After that, export to MP4. Keep your prompts as versions v1/v2/v3 with notes on what changed — it makes debugging much easier.
How to write a good prompt for Kling 2.6
A chaotic prompt produces a chaotic video. To get a predictable result, use a structured template that the model understands best.
Prompt template:
- Scene: place + time of day + light source + background. Example: "Room, daylight from a window, wooden floor, empty walls, no clutter."
- Characters/objects: who's in frame, clothing/attributes, position of each. Example: "Woman in a red dress by the table on the left; man in a light shirt on the right, facing the woman."
- Action: 1–2 actions in a given order. Example: "The woman sits down; the man steps forward; the man turns his head toward the window."
- Camera: one type of movement (pan / zoom / tracking), no cuts. Example: "Camera slowly pans left to right, no cut."
- Speech/vocals: character → voice → line. Example: "[Woman@Voice1: steady] 'What's next?' [Man@Voice2: calm] 'Let's continue'."
- Sound: background + 1–2 SFX tied to an action. Example: "rain on glass (background); chair creak (SFX)."
- Output: aspect ratio + duration + restrictions (no text, no logos).
Specificity always beats vague phrases. The prompt "forest landscape" gives an unpredictable result, while "pine forest at dawn, mist between the trees, one deer running left to right, camera tracking parallel" clearly sets the model's task. Style is best controlled through neutral terms: photorealistic, documentary, 3D animation, cel-shaded, high detail, sharp textures.
Follow the "one layer at a time" rule: edit the scene first, then the characters, then the movement, and only then the sound. Editing the whole prompt at once makes it impossible to track which change caused which improvement.
4 Kling 2.6 video generation examples
Four ready-made prompts cover typical tasks and demonstrate different modes of working with audio: a voiceover in an ad, a humorous dialogue with multiple characters, a dramatic slow-motion scene with a contrasting soundtrack, and a talking animal with a distinctive voice.
Example 1: Pizza ad
Prompt: "On a rustic wooden table, a freshly baked pizza with melting cheese and basil leaves. Steam gently rises from the hot surface. A hand reaches in and slowly pulls a slice, cheese stretching beautifully. [Off-screen voice, warm male voice, loving, delighted and passionate]: "Oh, look at that cheese. Made with love. Just like nonna used to make. Perfection." The camera starts close on the pizza, then follows the slice being lifted. Background: Soft acoustic guitar melody. Sound effects: Cheese sizzling, crust crunching as slice separates, gentle stretch sound."
The voiceover is set as an "off-screen voice" with emotional attributes — this is what lets the model generate a warm tone without tying it to an on-screen character. Customize the prompt →
Example 2: Humorous office scene
Prompt: "Mockumentary style with handheld camera. In a meeting room, [Serious boss in suit] stands at whiteboard with complex graphs. [Young employee] sits at table looking confused. [Boss, intense voice] says: "We need to synergize our core competencies and..." Suddenly a [Golden retriever in tiny tie] walks in, jumps on a chair, and [Dog, dubbed professional voice] says: "Or we could just ask customers what they want." Boss and employee freeze, look at dog, then at each other. [Employee, whispered voice]: "...the dog has a point." The camera captures all three in a wide shot, then zooms on the dog nodding wisely. Background: Awkward office silence, then subtle comedic music. Sound effects: Dog collar jingling, marker cap clicking".
The three characters are tagged with visual anchors ("boss in suit," "young employee," "golden retriever in tiny tie"), and each line is tied to its speaker — this keeps the model from blending voices in the dialogue while also showing off its ability to handle several interacting characters. Customize the prompt →
Example 3 (Music/Rhythmic):
"Action movie style with dramatic slow motion. In a chaotic open office, papers fly through the air, coffee spills in slow motion, colleagues run past in panic. In the center sits a calm young woman at her desk, typing peacefully on her laptop with a slight smile. Everything around her moves in slow motion chaos while she remains still. She looks at camera and [Woman, zen peaceful voice] says: "Deadlines? I don't feel them anymore." She takes a calm sip of coffee as a paper airplane flies past her head. The camera slowly orbits around her. Background: Dramatic orchestral music contrasting with chaos. Sound effects: Muffled screaming, objects crashing in slow motion".
The contrast between chaos and calm is set through slow motion for the surroundings and the character's static pose — the dramatic orchestral background amplifies the comic mismatch. Customize the prompt →
Example 4: Talking llama
Prompt: "Photorealistic style. A fluffy white llama wearing oversized pink sunglasses and a gold chain sits in a trendy cafe, holding a smartphone with its hoof. The llama looks at the camera with a smug expression and [Llama, confident influencer voice] says: "Your content is good. But is it scroll-stopping good?" The llama raises one eyebrow and takes a sip from a tiny espresso cup. The camera slowly pushes in. Background: Trendy chill hop music. Sound effects: Cafe ambience, coffee cup clink".
The talking animal gets a distinctive voice through the "confident influencer voice" attribute — the model syncs lip movement to the line while keeping the photorealistic style. Customize the prompt →
Troubleshooting: why isn't it working?
Diagnosing common issues helps you fix the result in one iteration instead of rewriting the whole prompt.
Blurry image or a jumble of objects
Cause — too many objects, an undefined scene, several simultaneous actions, no restrictions. Fix: keep 1 location + 1 main object/character, add "no text / no logos / no extra people," specify a concrete light source and background.
Extra voices and mismatched lines
Cause — roles aren't tagged, lines aren't tied to characters via the @Voice scheme. Fix: tag the dialogue strictly as [Character@Voice → line], cap it at 2 lines max, remove nested quotes, avoid adding a third voice unless truly necessary.
Action and sound out of sync
Cause — sound is described in generic terms ("noisy," "music plays"), with no SFX tied to a specific event. Fix: for each SFX, specify a source and trigger (chair creaks as it turns, lid clicks as it opens), remove sources unrelated to the action.
Static movement or mannequins instead of characters
Cause — action is described as a state ("stands nicely," "looks thoughtful"), with no concrete kinematics. Fix: describe 1–2 movements with verbs and a trajectory (steps forward, turns head to the right, lifts a book off the table).
Style conflict
Cause — the prompt mixes incompatible instructions (realistic + drawing + CGI), and the model produces a compromise. Fix: pick one style and remove the rest; if you need a hybrid, generate it as separate renders.
Prompt too long
Cause — details listed without hierarchy, multiple scenes in one request. Fix: return the prompt to the template (scene → characters → action → camera → sound), keep one scene per clip.
Generation refused
The model blocks prohibited topics. Fix: remove trigger elements (violence, sexual content, exploitation, banned symbols), rephrase without the details that trip the filters.
Conclusion: quick start and next step
Kling 2.6 is available on GPTunneL in the Creative.Lab section. Try the simplest test: generate a 5-second clip with one character and one short line, no background music. If you like the result, scale up to 10 seconds, add a second voice, and a couple of sound effects. That's the fastest way to learn how the model reacts to different audio layers and find your own balance between prompt detail and generation quality.
FAQ
What's the main difference between Kling 2.6 and Kling 2.5?
In Kling 2.6, sound is generated together with the video in a single request: speech/vocals, background, and SFX are described in the prompt and returned in sync with the picture. In 2.5, the workflow was more often video first, sound separately (voiceover/editing after generation).
What's the maximum clip length and resolution in Kling 2.6 Video?
The limit is 10 seconds per clip. Quality targets 1080p. Longer scenes are assembled from several clips, repeating the location/characters and keeping the same voice/camera parameters.
How do you control a character's voice and sound effects?
The prompt sets the roles (who's speaking), the voice parameters (timbre/manner/pace), and the lines. Sounds are set as a list of sources: background (e.g. rain/street) and SFX tied to an action (e.g. a chair creaking as someone turns, a lid clicking as it opens).
Which languages does audio generation support?
Voice generation works in English and Chinese. For a series of clips, it's best to pick the voiceover language ahead of time and keep it consistent.
How does Kling 2.6 Video compare to Sora 2 and Veo 3?
All three models can generate video with synchronized audio. Kling 2.6 leans heavily into short 5–10 second clips and controllable tagging of speech/background/SFX in a single prompt; its English and Chinese voiceover quality is also frequently highlighted. Sora 2 and Veo 3 also support native audio but differ in ecosystem, style, and the level of control over scene/motion. They also support more languages.