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AI video model
Kuaishou
Kling

Kling 3.0 Turbo

Kling 3.0 Turbo targets 3–15-second video generation. It uses text mode when no image is uploaded and switches to image-to-video when one valid image is supplied. Resolution and duration directly determine the preauthorization amount.

Workflow
Text / single-image video
Output
720p / 1080p
Duration
3–15 seconds
Credits
54–338
30-second overview
  • Automatically routes text and single-image workflows
  • Whitelists 720p / 1080p and every integer duration from 3–15 seconds
  • Image-to-video accepts only one JPEG or PNG
  • Completes preauthorization before reserving credits or creating a task

Popular searches: How do I use Kling 3.0 Turbo? · How much does Kling 3.0 Turbo cost? · How long can a Kling 3.0 Turbo video be?

Examples

Cinematic scene

Style: Ultra-realistic cinematic influencer reel, luxury lifestyle aesthetic, 4K HDR, golden hour lighting, shallow depth of field, smooth gimbal movements, subtle lens flares, vibrant city atmosphere, fashion-commercial quality, confident feminine energy 0:00–0:03 Camera: Low-angle tracking shot following stylish heels walking down a charming European-style street. Coffee cup in one hand, phone in the other. Pedestrians naturally move aside as she walks. Action: She casually glances at the camera with a confident smirk. Audio: Trendy upbeat pop beat begins with city ambience. --- 0:03–0:06 Camera:Orbit shot circling her in slow motion. Action: A gust of wind lifts her hair perfectly. She removes her sunglasses, makes eye contact with the camera, then effortlessly slides them back on. Time seems to slow while everyone around her blurs into motion. Effect: Dramatic speed ramp and cinematic lens flare. --- 0:06–0:09 Camera: Wide cinematic shot as she confidently steps onto a busy crosswalk. Action: The traffic lights turn green, but for a brief moment the entire city freezes. Cars stop, birds hang in midair, pedestrians become motionless. Only she keeps walking with complete confidence. Effect: Epic cinematic sound hit. --- 0:09–0:12 Camera: FPV drone smoothly rises from street level to reveal the entire skyline. Action: As she puts on her sunglasses, the frozen city instantly comes back to life. Cars move, people continue walking, and sunlight reflects dramatically off the skyscrapers. Effect: Whip transition synchronized to the music beat. --- 0:12–0:15 Camera: Slow-motion close-up as she takes a sip of coffee while walking toward the camera. Action: She gives a playful wink, then walks past the lens. The camera turns to reveal everyone behind her subtly watching in admiration. Music:Beat drops on the final frame with a clean cinematic logo-style ending.

Editorial design

Cinematic scene

Create a 30-second, 1080p ultra-realistic documentary-style personal home video showing an ordinary summer day in the life of a young Korean man. The footage should feel spontaneous, intimate, imperfect, and genuinely observed rather than performed. MAIN SUBJECT The same young Korean man in his early 20s throughout the entire video. Naturally handsome, realistic skin texture, minimal styling, relaxed expression, slightly tired but peaceful eyes. He has naturally messy medium-length dark hair with a few strands falling over his forehead and very subtle stubble. He wears a loose washed-black T-shirt, relaxed olive-beige trousers, worn white sneakers, and a simple silver wristwatch. Keep his face, identity, body proportions, hairstyle, clothing, watch, and overall appearance completely consistent from beginning to end. LOCATION A quiet older residential neighborhood in Seoul during a warm summer afternoon. Narrow concrete alleys, low-rise homes, rooftop terraces, external staircases, potted plants, laundry lines, parked bicycles, utility poles, overhead wires, mature trees, concrete walls, small residential courtyards, and distant city sounds. The neighborhood should feel authentic and lived-in. No crowds, tourist attractions, advertisements, recognizable brands, or commercial activity. CAMERA / VISUAL STYLE Authentic casual personal-video footage captured with an older consumer digital camera. Handheld camera operated by a friend walking nearby. Natural camera shake, imperfect framing, occasional autofocus changes, slight exposure adjustments when moving between sunlight and shade, soft image detail, mild motion blur, subtle digital noise, slightly muted colors, imperfect white balance, and natural compression. The camera operator occasionally reacts a little late, cuts off part of the subject, or briefly loses focus. No stabilization, gimbal movement, drone shots, cinematic camera choreography, dramatic lighting, slow motion, modern commercial color grading, or polished cinematography. The footage should feel like someone simply decided to record his friend during an ordinary day. --- 00:00–00:05 — MORNING ROOFTOP He sits casually on a small rooftop beside an old plastic chair. A cold bottled drink rests beside him. He looks quietly across the neighborhood while the wind moves his hair and T-shirt. He takes a sip, notices something happening in the distance, and smiles faintly. He briefly notices the camera and gives a subtle nod before looking away. The camera takes a moment to find focus on his face. --- 00:05–00:10 — WALKING THROUGH THE ALLEY He gets up and walks downstairs into the neighborhood. He walks casually through a narrow concrete alley with his hands in his pockets. He passes parked bicycles, potted plants, laundry hanging from balconies, and old residential walls. The camera follows several steps behind him. He occasionally looks back toward the camera but never deliberately poses. His footsteps remain naturally synchronized with his movement. --- 00:10–00:14 — SMALL EVERYDAY MOMENT He notices an old basketball resting near a wall. He picks it up, casually bounces it twice, then takes a simple shot toward a nearby hoop. The shot misses. He laughs quietly, shakes his head, and leaves the ball where he found it. The camera briefly loses focus during the movement and recovers naturally. No exaggerated athletic movement. --- 00:14–00:19 — LOCAL SHOP He walks to a tiny neighborhood shop and buys a cold drink. He exchanges a few natural words with the shopkeeper but the conversation is not clearly audible. He steps outside, opens the bottle, takes a drink, and leans casually against the wall. He watches bicycles and pedestrians passing in the distance. The camera remains handheld and slightly imperfect. --- 00:19–00:23 — SUMMER RAIN A sudden summer shower begins. He looks toward the sky with mild surprise. Instead of immediately running for shelter, he smiles and slowly walks into the rain. The rain becomes heavier. His hair becomes wet and falls naturally across his forehead. He eventually starts running down the alley, laughing genuinely. He briefly spins around while running, then continues toward a covered walkway. His clothes become visibly damp. Maintain realistic rain interaction, wet fabric, wet hair, reflections, and foot contact with the ground. --- 00:23–00:27 — QUIET MOMENT He reaches the covered walkway and catches his breath. Rain falls heavily behind him. He wipes water from his forehead and looks quietly toward the street. For a moment, everything becomes still. He notices the camera again. He gives a small genuine smile, not a posed expression. --- 00:27–00:30 — WALKING AWAY The rain becomes lighter. He walks away down the wet residential lane. The camera follows from behind. Reflections shimmer across the concrete. He turns his head once, gives a tiny wave toward the camera, smiles, and continues walking. The camera remains pointed toward the empty street for a brief moment. At approximately 00:29, the recording abruptly cuts to black mid-motion. No fade-out. --- PHYSICAL REALISM Maintain believable real-world physics throughout. Hands, fingers, feet, clothing, hair, rain, bottle, basketball, and background objects must behave naturally. No extra fingers, fused hands, duplicated limbs, distorted anatomy, floating objects, teleportation, disappearing objects, or sudden transformations. The bottle remains a separate physical object and never intersects with his face. The basketball behaves naturally and remains where it lands. Parked bicycles and background objects remain stationary unless physically moved. His feet remain properly connected to the ground while walking and running. Keep the environment and subject consistent between shots. --- AUDIO Natural environmental audio only. Footsteps on concrete, distant traffic, birds, leaves moving in the wind, bicycles, faint neighborhood conversations, shop sounds, bottle opening, basketball bouncing, rain hitting concrete, water dripping from rooftops, and subtle camera-handling noise. No music. No narration. No soundtrack. No artificial sound effects. No spoken dialogue is necessary. --- FINAL FEEL The result should feel like a forgotten personal recording of an ordinary summer day. Not a commercial. Not a fashion film. Not a music video. Not a professional cinematic production. The emotional appeal should come from small human moments: sitting alone, wandering through familiar streets, missing a basketball shot, drinking something cold, getting caught in the rain, laughing, and walking home. Quiet, masculine, youthful, nostalgic, slightly melancholic, warm, spontaneous, and deeply human. Prioritize natural behavior, consistent identity, believable physics, imperfect handheld framing, authentic environmental details, and the feeling that the camera happened to be there.

Cinematic scene

Cinematic scene

Generate a fast, energetic montage set at an outdoor pool party in the style of an early 2000s TV show. The footage should feel like it was shot for a teen drama / reality-TV / lifestyle series from the early 2000s — playful, chaotic, youthful, sun-drenched, and slightly messy in a charming way. CAMERA STYLE: true early-2000s handheld DV / broadcast camcorder aesthetic. Use the kind of camera commonly used for behind-the-scenes TV, MTV-style coverage, reality shows, or teen pool-party montage footage from that era. The camera should feel physically operated by a person walking through the party: shaky handheld movement, imperfect framing, quick pans, sudden zoom-ins and zoom-outs, loose reframing, small exposure shifts, slight autofocus hunting, occasional overexposed highlights, rolling movement, and imperfect reactions to the action. No modern cinematic gimbal smoothness. No robotic motion. No polished high-end commercial feel. LOOK: early digital video image quality. Slightly soft detail, baked-in camcorder sharpness, bright blown highlights in the sun, mild video noise, slight interlacing / DV texture feel, saturated summer colors, warm skin tones, punchy pool blues, glossy sunscreen skin, and a nostalgic 2000s television vibe. The footage should feel like archived network TV pool-party coverage from around 2001–2006. SETTING: daytime outdoor pool party at a big suburban or resort-style house. Bright sun, clear sky, palm trees or lush greenery, lounge chairs, towels, coolers, plastic cups, floaties, people sitting on the edge of the pool, groups talking, music playing, people jumping in the water, dancing, laughing, flirting, splashing, and hanging around the patio. MONTAGE CONTENT: capture lots of quick, cuttable handheld shots from different angles and distances. Include: wide shots of the full pool party, medium handheld walk-bys through groups of people, close-ups of drinks clinking, girls laughing, guys hyping each other up, feet kicking water, people jumping into the pool, splashes hitting the lens, quick zooms onto funny moments, people dancing near the pool, someone adjusting sunglasses, floaties drifting, someone cannonballing into the water, friends reacting and cheering, casual flirting, towels and bags scattered around, poolside conversations, and spontaneous party moments. Make the montage feel busy and real, like a highlight sequence from an episode. SHOT LANGUAGE: lots of short handheld shots that feel easy to cut together. Mix wide establishing shots, medium coverage, close-up reaction shots, splashy inserts, and little candid moments. Include snap zooms, whip pans, quick push-ins, brief rack-focus imperfections, and operator reactions to surprising or fun moments. The operator should sometimes arrive a beat late or reframe sloppily in a way that feels authentic to the time period. TONE: fun, carefree, slightly chaotic, flirty, youthful, summery, nostalgic. It should feel like “last day of school / pool party episode / spring break montage” energy from an early 2000s TV show. IMPORTANT: keep the footage outside the whole time. No indoor scenes. No modern influencer aesthetic. No ultra-clean 4K commercial polish. This should feel authentically early-2000s TV coverage with handheld camcorder energy. No dialogue required, or only indistinct background chatter. Focus on visuals, reactions, party atmosphere, splashing water, and nostalgic early-2000s television montage energy.

Cinematic scene

Hyper-realistic cinematic action sequence, 15 seconds, 16:9. A futuristic pursuit begins above the clouds at the summit of the tallest city ever built. The interceptor dives continuously downward along the exterior of the megastructure, passing rooftop gardens, luxury sky districts, dense residential towers, elevated transit systems, giant industrial levels, glowing neon commercial zones, and immense ventilation shafts before reaching the bustling streets at ground level. The camera constantly alternates between cockpit POV, FPV pursuit, side-mounted flybys, rooftop drone shots, and dramatic IMAX-wide reveals that emphasize the city's staggering vertical scale. Final shot: the aircraft disappears into a glowing underground transit tunnel beneath the city. Style: IMAX realism, believable architecture, crystal-clear action, cinematic lighting, seamless continuous descent.

At a glance

Is this model right for you?

Text mode offers three aspect ratios. Image mode accepts one JPEG or PNG and does not send the text-mode aspect-ratio field. Images, prompts, and quality settings are validated before credits are reserved, preventing unsupported combinations from creating a task.

What it does best
A video generation option built around short durations, two resolutions, and clearly separated text and single-image workflows.
Who it is for
A good fit for ad storyboards, social clips, product motion studies, and extending a shot from a key frame.
Why use it on Kyeo AI
Kyeo conservatively preauthorizes credits from resolution and duration before task creation, then settles against actual consumption after completion.

Key facts

Quickly evaluate whether this model fits your business use case.

Model category
AI video model
Runtime
Asynchronous task
Text-mode aspect ratios
1:1 / 9:16 / 16:9
Image formats
JPEG / PNG

Other names

The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.

Kling 3.0 Turbo
Kling 3 Turbo
Kling V3 Turbo
Kling 3.0 Turbo image to video

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

How do I use Kling 3.0 Turbo?
How much does Kling 3.0 Turbo cost?
How long can a Kling 3.0 Turbo video be?
What image formats does Kling 3.0 Turbo support?
How do Kling 3.0 Turbo 720p and 1080p differ?

Decision guide

Still deciding? Start with these key decision points.

1
Choose quality before duration

1080p has a higher per-second cost. Test the shot direction at a short duration before extending it to keep the budget predictable.

2
Compose the source image first

Image mode does not send the text-mode aspect ratio, so the source image should already be close to the intended composition.

3
Use another model for multiple references

If the task needs several images, video, or audio references at once, compare Seedance 2.0 Mini or MiniMax H3.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

How do the input options of Kling 3.0 Turbo and Kling 3.0 differ?
When should I choose Kling 3.0 Turbo or Seedance 2.0 Mini?

Model comparison table

Not sure which model to choose? Compare the key differences between this model and its alternatives at a glance.

Current Kyeo input
Kling 3.0 Turbo
Text or 1 image
Seedance 2.0 Mini
Text, first/last frames, or multimodal references for cinematic generation
MiniMax H3
Text, first/last frames, or multimodal references with native stereo sound

Real-world experience

Practical guidance based on public sources, current on-site limits, and representative tasks.

Turbo is a version name, not a quality verdict

Speed, consistency, and visual quality still need to be compared with the same prompt and source material.

Two fields drive short-video cost

Resolution and output seconds jointly set the preauthorization amount, so fixing both variables makes cost comparisons clearer.

Capabilities

Text-to-video

Create a short video from a prompt, aspect ratio, resolution, and duration.

Single-image-to-video

Use one image whose true format has passed validation as the visual starting point.

Dynamic preauthorization

Calculate integer preauthorization from the requested resolution and duration, then settle after completion.

Use cases

Product shot

Add subtle camera movement and environmental change to one product hero image.

Vertical social clip

Select 9:16 in text mode and plan the action rhythm for mobile viewing.

Storyboard test

Start with 3–5 seconds to validate framing and motion before extending the shot.

Prompt tips

State the subject's action

Organize the prompt around subject, action, environment, and camera.

Constrain visual changes

For single-image tasks, name the appearance, branding, and composition that must stay consistent.

Match complexity to duration

Split complex action into several short shots instead of packing too many events into a brief clip.

Why choose it

Clear boundaries between two workflows.
Explicit resolution and duration ranges.
True image format is validated during upload.
The price can be calculated before task creation.

What to know first

No multiple images, reference video, or reference audio.
Image mode does not expose separate aspect-ratio control.
Automated checks do not replace copyright, subject-consent, or content review.
The model name does not guarantee speed or output quality.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Resolution
Required
Parameter type: Select
Default: 720p
720p
1080p
2 options
Video duration
Required
Parameter type: Integer
Default: 5 seconds
3–15 seconds
Text-mode aspect ratio
Required
Parameter type: Select
Default: 16:9
1:1
9:16
16:9
3 options

Credit cost

54–338 credits

720p costs 18 credits per output second, while 1080p costs 22.5 credits per output second. Kyeo rounds the request total up before task creation, so valid requests require 54–338 credits of preauthorization. Final settlement uses the actual consumption reported after completion.

Credit-saving tip

Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.

Frequently asked questions

Related models

Still deciding? Take a quick look at these similar alternatives.

Kling 3.0

Review Kling 3.0 on Kyeo AI: 3–15 seconds, single-shot or up to 5 multi-shots, first/last frames, sound, and std/pro/4k per-second rates. A fit for specifying first and last frames or splitting a 3–15-second concept into up to 5 short shots. Character consistency, lip sync, text, sound, and shot continuity still require review of the actual result.

AI video model
42–1005 credits / request

Seedance 2.0 Mini

Seedance 2.0 Mini combines text, first/last-frame, and multimodal-reference generation in one entry point. Reference video enters the pre-task pricing formula, so both media duration and output duration must be verified before task creation.

AI video model
15–150 credits

MiniMax H3

MiniMax H3 offers 768P and 2K output with text, first/last-frame, and image/video/audio reference scenes. Reference-video duration and every input image from image 6 onward affect pre-task authorization.

AI video model
32–406 credits

Sources

This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.

Source note

Explore Kling 3.0 Turbo on Kyeo AI: 720p or 1080p, 3–15 seconds, text and single-image video, image limits, 54–338-credit preauthorization, and usage boundaries. 720p costs 18 credits per output second, while 1080p costs 22.5 credits per output second. Kyeo rounds the request total up before task creation, so valid requests require 54–338 credits of preauthorization. Final settlement uses the actual consumption reported after completion.

Last updated: 2026-08-28
Kling 3.0 Turbo current interface notes
Integration

Used to check the input modes, visible controls, media limits, and availability of the version currently connected to this site. The page and workbench show the actual options.