Pro-funktionKling AI is Kuaishou's AI video generator for turning text prompts, images, and visual references into short cinematic videos. The model family supports text-to-video, image-to-video, directed camera movement, consistent subjects, multi-shot scene planning, and native audio workflows.
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3Watch the official channel example for how Kling frames a short clip around motion, camera direction, subject continuity, and a finished video feel.
Use these video examples as direction references. Each one names the scene, movement, camera behavior, and continuity target so the idea feels like a video plan, not a loose prompt.
A dancer crosses a sunlit rooftop while fabric trails in the wind, giving Kling a clear subject, camera orbit, and motion texture to carry through the clip.
Use a slow camera orbit as fabric moves in the wind; keep the dancer centered, the skyline soft, and the white costume readable across the shot.
A still wildlife frame becomes a gentle shoreline clip, with the shell pattern, wave direction, and low camera angle kept clear as the turtle moves.
Animate the turtle moving into shallow water, with small waves, shell detail, warm daylight, and a low tracking camera near the sand.
Researchers cross a blue glacier field as wind moves snow across the frame, with a slow aerial camera that keeps the team readable against the ice.
Move slowly above the glacier as researchers cross blue ice, with snow haze, orange parkas, and the team staying readable against the landscape.
A helicopter rescue shot gives the model a physical motion path: rotor wash, sea spray, rope movement, and a bright cliff edge for spatial clarity.
Track from below as the medic descends, with wind in the grass, sea spray, rope tension, and the helicopter staying readable against the sky.
A fencing move cuts through powder smoke, making the effect part of the action instead of a separate decoration.
Hold a clean side angle as the fencer lunges, powder expands from the blade path, and the body pose stays sharp through the effect.
A rally car cuts through a snowy corner with clear tire spray, stable vehicle shape, and a camera angle that sells speed without losing the subject.
Use a low chase camera as the rally car drifts through a snowy corner, keeping the vehicle shape stable while powder spray shows speed.
Kling reads a video brief like a director's note — it acts on the input mode you choose, the camera move you describe, the references that should stay consistent across shots, the dialogue or native audio you want, and any visible effect or scene-edit beat in the clip. The features below walk through each of those layers and when to lean on them.
Start from a written idea and describe the subject, setting, visible action, lighting, mood, and camera behavior. A useful text-to-video prompt tells Kling what changes over time, not just what the first frame looks like.
Use an image or reference frame when the subject, product, pose, layout, or style should guide the generated video. Then use the prompt to define the motion, camera path, and what must remain recognizable.
Give the model camera language it can act on: slow push-in, side track, low chase, orbit, macro close-up, aerial move, handheld energy, product reveal, or action beat. Then pair the camera move with physical motion in the scene.
Tell Kling what should not drift while the clip moves: face, outfit, product shape, logo area, material, color palette, lighting style, background identity, or brand scene.
When the video needs dialogue, voiceover, music, ambience, or lip sync, write that into the brief early. Say who speaks, what the sound should feel like, and whether the clip should also work mute-first for social feeds.
When a scene needs a visible change, describe it as part of the shot: relighting, object swap, clean background, scene extension, impact moment, water, smoke, reflection, or a before-and-after transformation.
Choose Kling AI when a short generated video needs cinematic motion, clear shot direction, recognizable subjects, reference control, native audio, and readable visual details.
Generate complete short scenes with camera angles, shot-reverse-shot dialogue, cross-cutting, voice-over beats, and smoother transitions between shots.
Kuaishou's Kling 3.0 release states that Kling Video 3.0 supports video generation up to 15 seconds, giving each clip room for a beginning, change, and ending.
Use reference videos or multiple image references so characters, products, objects, and scenes stay coherent across frames and camera changes.
Kling 3.0 adds native audio generation for speech across several languages, accents, and dialects, including multi-character dialogue control.
Guide identity, objects, locations, style, voice, or performance with references, then keep each reference tied to a clear role in the scene.
Preserve or generate signage, captions, branded clothing, labels, and other text elements more clearly when the prompt and references call them out.
Compare Kling 2.1, Kling 2.6, and Kling 3.0 on resolution, clip length, multi-shot support, native audio languages, and reference control — so you can match the brief to the right generation instead of always picking the newest one.
| Features | Kling 2.1 | Kling 2.6 | Kling 3.0 |
|---|---|---|---|
| Released | May 2025 | Early 2026 | 2026-02-05 (Kuaishou IR launch) |
| Max resolution | 720p Standard / 1080p Professional | 1080p (Standard and Pro) | Up to 4K (3840 × 2160) |
| Frame rate | 30 fps | 30 fps | Up to 60 fps |
| Max clip length | ~5 seconds | 10 seconds | 15 seconds (flexible 3–15 s) |
| Multi-shot in one generation | Single shot only | Single continuous shot | Up to 6 connected shots — Multi-Shot (auto-planned) or Custom Multi-Shot (per-shot framing, duration, and camera move) |
| Native audio & lip-sync | Not native — add voice and music in post | Native audio + lip-sync in Chinese and English | Native audio + lip-sync in 5 languages — English, Chinese, Japanese, Korean, Spanish — plus accents, dialects, and multilingual code-switching; multi-character coreference for 3+ speakers |
| Reference & element control | Start- and end-frame control | Motion control via reference video; tighter character consistency | Element Reference — multi-image and reference-video inputs locked as Elements; native-level on-frame text rendering |
| Best for | Budget volume work; 5-second 720p / 1080p social clips and start-/end-frame tests | Last 1080p single-shot tier and the first Kling where native audio is built in — short cinematic clips with sync sound | Cinematic short stories, multi-shot scenes, 4K deliverables, and clips that need on-frame text or multi-language voice |
Use VidMage to turn a Kling video idea into a clear brief: choose the input, describe the shot, add camera or audio notes when needed, generate the video, then refine the parts that drift.
Start with text when you want a new scene from scratch. Use an image or reference frame when the subject, product, character, composition, or style should guide the video.
Describe the subject, setting, action, camera movement, lighting, mood, pacing, audio needs, aspect ratio, and details to preserve.
Preview motion, camera behavior, subject consistency, audio intent, and visual drift. Refine the brief before the next version.
Kling AI fits creators and teams that need short generated videos with clear motion, recognizable subjects, and reusable visual direction across ads, social clips, story tests, and product scenes.
Create product clips, launch visuals, ad concepts, and seasonal scenes with clear framing for 9:16, 1:1, or 16:9 campaign edits.
Turn quick ideas into vertical video concepts for TikTok, Reels, Shorts, hook tests, mute-first captions, and fast visual experiments.
Explore alternate hero shots, campaign beats, product moments, social cuts, and reference-led variants before production starts.
Prototype action beats, camera movement, lighting ideas, transitions, sound intent, and impossible-to-shoot shots before committing to a larger edit.
Test visual systems, mood, product styling, reference frames, camera language, and subject consistency before choosing the final direction.
Prepare explainers, demonstrations, scenario clips, and visual examples where the viewer needs to understand motion, process, or cause and effect.
Describe the shot or upload a starting frame. Note how it should move, then hit Generate when you're ready.
