1. Overview
Kling 2.6 Pro (Video 2.6 Audio) is an advanced generative video model that can produce high-quality video and audio simultaneously from a single prompt.
You can now create lifelike AI videos—complete with dialogue, environmental sounds, BGM, and SFX—without any additional editing.
2. Key Features
Native Audio Generation
Automatically generates dialogue, narration, ambient sounds, BGM, and sound effects without separate audio editing.
Natural Lip-Sync
Characters’ mouth movements are precisely synchronized with the generated speech.
High-Quality Output
Supports up to 1080p resolution and 5-second / 10-second video generation.
Multilingual Voice Support
Offers high-quality native audio generation in English and Chinese.
All-in-One Workflow
Video and audio are created together, eliminating the need for post-production.
3. How to Use
Step 1: Select Kling 2.6
Choose the Kling 2.6 Pro model with Native Audio enabled.
Step 2: Write Your Prompt
For best results, include both visual and audio elements in your prompt.
Short, clear sentences improve lip-sync accuracy.
Describing the speaker’s traits (gender, age, tone, emotion) helps the model generate a more accurate voice.
You can use brackets [] or quotation marks "" to provide explicit audio instructions after describing the scene.
Recommended prompt structure
Dialogue / Spoken Lines
[Character, emotional state] "Line of dialogue" + voice tone + pacingExample: [Female, cheerful] says "The weather is amazing today!" with a warm tone and slightly fast pace.
Singing / Rap
"Lyrics" + genre/style + moodExample: "Singing under the stars" in a K-pop ballad style with emotional delivery.
Sound Effects
Object/Action + state + sound characteristicsExample: [Wooden door] slams shut with a deep, echoing thud.
Background Music
Instrument + genre + moodExample: Piano melody, jazz-influenced, calm and slightly melancholic.
Example prompt:
A cozy café… [Female barista] says “Today’s latte is something special.” Soft jazz BGM plays in the background.
Step 3: Adjust Settings
Aspect ratio: 16:9, 1:1, 9:16
Duration: 5s or 10s
Optional reference images for consistent styling
Audio option: Enabled
(If disabled, the video will be generated without sound.)
Step 4: Generate
Click Generate to produce a fully synchronized video with audio.
Sample Output 1
Create a warm café scene filled with soft ambient lighting and quiet chatter. Shelves of books line the walls, and steam rises from a freshly brewed latte. [Young Caucasian male barista] leans casually on the counter with a relaxed expression. Spoken line: [Young Caucasian male barista, gentle voice] says: "Sometimes the smallest moments become the ones we remember most. I hope today brings you a little calm and a little comfort." Add slow camera push-in, shallow depth of field, glowing bokeh, and soft warm tones. Background BGM: Gentle lo-fi jazz with soft guitar and mellow vinyl ambience.
Sample Output 2
Create a lively Christmas market scene set at dusk. Warm golden string lights hang above wooden stalls selling ornaments, sweets, and hot cocoa. [Young Asian woman] wrapped in a red scarf holds a steaming cup, her breath visible in the cold air. The sound of distant carolers fills the space, and colorful decorations sway gently in the breeze. Spoken line: [Young Asian woman, cheerful voice] says: "This season always brings people together. May your Christmas be bright, warm, and full of beautiful surprises." Add soft film grain, gentle handheld camera motion, and glowing bokeh from market lights to enhance the festive mood.
4. Use Cases
Short-form content (TikTok, Shorts, Reels)
Fashion/beauty reviews and tutorials
Travel vlogs
News reporter–style videos
Emotional storytelling
Brand promotion and advertising content
5. Important Notes
Recommended Languages:
For dialogue or lyrics, English or Chinese produces the most natural results.
Other languages may be auto-translated before voice generation.
Credit Usage:
Generating videos with audio may consume more credits than standard visual-only generation.
Complex dialogue requires a clear prompt structure.
Model output quality depends heavily on prompt clarity and specificity.