


Kling V3.0 Turbo is Kuaishou's video generation family built with MVL technology for developers creating dynamic, cinematic clips. Dedicated endpoints turn creative inputs into generated video through focused workflows for each supported mode. On Atlas Cloud, one OpenAI compatible key, transparent pay as you go pricing, and direct API access simplify integration from prototype to production. Start building today.
Kling 3.0 Turbo is developed by Kuaishou. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.
Atlas Cloud provides you with the latest industry-leading creative models.
Compare image to video and text to video endpoints, their supported controls, and suitable production workflows.
| Modality | Description |
|---|---|
| Kling V3.0 Turbo I2V API (Image to Video) | Animate a static image into a dynamic cinematic video using MVL technology. First and last frame control guides the visual progression, while integrated audio generation supports complete audiovisual output. Use this endpoint for character animation, product visuals, and cinematic image sequences. |
| Kling V3.0 Turbo T2V API (Text to Video) | Turn text prompts into dynamic cinematic videos powered by MVL technology. The endpoint combines first and last frame control with audio generation for more directed results. It suits concept visualization, narrative scenes, promotional clips, and social video production. |
Kling V3.0 Turbo brings text and image driven video creation, first and last frame control, generated audio, precise audiovisual synchronization, MVL based cinematic motion, and transparent Atlas Cloud API access into one efficient production workflow.
Kling V3.0 Turbo supports two production paths through dedicated text to video and image to video endpoints. Start with a written scene when you need a fresh concept, or animate a source image when composition is already established. Both routes use MVL technology to turn creative direction into dynamic cinematic footage. This flexibility suits ad concepts, story beats, and rapid visual prototyping.
Define the opening and closing frames to anchor how a generated sequence begins and ends. The model uses those visual boundaries with your prompt to build motion between two intentional compositions. Directors gain more control over entrances, exits, camera position, and the final reveal without assembling the transition by hand. It is especially useful for product transformations, scene bridges, and tightly framed narrative moments.
Audio can be generated in the same Kling V3.0 Turbo workflow as the video, while the model maintains precise audiovisual synchronization. Sound, action, and visible performance are developed together instead of being treated as unrelated outputs. Use scene prompts to align environmental sound and rhythmic action with the moving image. The result fits dialogue driven clips, musical moments, and cinematic scenes where timing carries the story.
Built on MVL technology, the model produces dynamic cinematic video with stable, high quality motion. Describe the subject, action, atmosphere, and camera behavior, then let the model translate that direction into a continuous moving scene. Its strength is not limited to one visual genre, so realistic footage and stylized animation can share the same production pipeline. Choose it for motion led storytelling that depends on coherent visual energy.
When iteration speed matters, Turbo is designed to improve creative efficiency while reducing production cost. Generate multiple directions, compare motion choices, and refine prompts without changing the core video workflow. Atlas Cloud exposes the family through one API layer, which keeps testing and deployment consistent across the two generation routes. This combination works well for teams producing frequent ads, social clips, and campaign variants.
Pay only for the video generation you use through transparent pay as you go access. Atlas Cloud lists the standard rate at $0.112 per second, with no temporary discount built into the page copy. The same integration covers both text and image driven requests, reducing setup friction for developers. It is a practical fit for production pipelines that need predictable metering and direct API access.
See how Kling V3.0 Turbo and two Atlas Cloud video models interpret the same prompts across cinematic realism, motion continuity, camera control, and stylized storytelling.
At a seaside net-drying yard at low tide just after dawn, a barefoot fisherwoman sprints after an enormous wet fishing net being dragged away by fierce ocean wind, weaving continuously between rows of coral-orange buoys and weathered wooden drying racks. Open with a sand-level low-angle tracking shot racing beside her feet as they splash through shallow tide pools and kick up wet sand; the net snaps, billows, tangles around posts, and strains with convincing weight and detailed cloth physics. Push directly through a whipping mesh opening into her first-person POV as her hands dodge ropes and buoys, then whip-pan sideways as she leaps and pins the escaping net corner beneath one bare foot. At that instant, dozens of silver fish burst from the net in one coordinated spray, glittering overhead and magically assembling into the silhouette of a giant luminous flying fish that sweeps above her head. The camera performs a fast, fluid orbit around her, then cranes upward into a top-down aerial view revealing the complete fish formation gliding across the patterned nets and tidal flats. As the fish scatter back toward the sea, tilt down for the playful final beat: one tiny octopus drops neatly onto her straw hat, its tentacles curling around the brim while she keeps balancing and looks up in startled delight. Cool cyan sea fog, coral-orange buoys, silver-white scales, strong dawn backlight outlining every wet net fiber, realistic wind interaction, dense fabric simulation, synchronized crowd motion, consistent character appearance, seamless continuous movement, cinematic magical realism, photorealistic texture, dynamic natural motion blur, no slow motion, no cuts to screens, interfaces, dashboards, progress bars, charts, captions, logos, or text. Immersive audio: rushing sea wind, snapping ropes, wet footsteps, rattling wooden racks, fluttering mesh, sparkling fish splashes, and a playful soft plop as the octopus lands, paced to a rising 8–10 second orchestral-percussive cue. 16:9 aspect ratio.
Generated with Kling V3.0 Turbo Text-to-Video on Atlas Cloud
Generated with Seedance 2.0 Text-to-Video on Atlas Cloud
Generated with Kling Video O3 4K Text-to-Video on Atlas Cloud
An 8–10 second single-take cinematic sequence inside a retro zero-gravity space-laundry module: begin from inside a spinning washer drum, rotating rapidly as the camera pulls backward through the round hatch while a single scarlet sock escapes into the cabin. A suited astronaut kicks off the wall, twists head-over-heels, and weaves through drifting shirts, towels, and tangled underwear in frantic pursuit; the camera transitions into a tight 360-degree orbiting follow shot, preserving the astronaut’s identity, anatomy, and spatial continuity. The astronaut collides with a huge floating sphere of water, which bursts, deforms, and coherently re-forms around the red sock; whip-pan alongside the wobbling transparent water globe as it accelerates away, with realistic surface tension, refraction, suspended droplets, wet fabric, and momentum transfer. At the last instant, a cabin cat springs from an open laundry basket, fully extends in zero gravity, and pins the water-wrapped sock with one paw. The camera snaps into a wide rolling reveal, flipping the horizon to expose the entire upside-down compartment—astronaut, cat, laundry, droplets, and machinery still drifting with consistent inertia. Cold cyan cabin lighting mixed with flickering amber emergency light, restrained gray-white interior emphasizing the scarlet sock and crystalline water. Authentic 1970s analog science-fiction film, practical miniature-set photography, tactile handmade props, subtle wire-work, optical compositing, soft halation, anamorphic flares, fine 35mm grain, slight gate weave, no screens, no interface graphics, no dashboards, no captions, no logos, no readable text. Continuous energetic motion, physically credible zero-gravity bodies, cloth, fluid collision, animal movement, stable subjects, seamless camera transitions, no slow motion. Audio: rotating drum rumble, ventilation hum, fabric flutter, muffled suit impacts, wet splash, playful cat yowl, and a brisk analog-synth pulse synchronized to the chase. 16:9 aspect ratio.
Generated with Kling V3.0 Turbo Text-to-Video on Atlas Cloud
Generated with Seedance 2.0 Text-to-Video on Atlas Cloud
Generated with Kling Video O3 4K Text-to-Video on Atlas Cloud
Whether a project begins with a written prompt or a static image, Kling V3.0 Turbo turns ideas into dynamic cinematic video, supports first and last frame control, and generates audio for ads, social content, product visuals, and story prototypes.
Turn written prompts into dynamic cinematic videos with the text-to-video model and MVL technology. Creative teams can develop campaign concepts, mood pieces, or narrative prototypes from a concise written brief.
Animate a static product image into a dynamic cinematic video with Kling V3.0 Turbo Image-to-Video. Brands can produce launch teasers, catalog loops, and campaign visuals from product artwork already available to their teams.
Set first and last frames to define how an image-driven sequence begins and resolves. Designers can shape branded reveals, visual transitions, or before-and-after narratives with clearer endpoints for each video.
When a scene needs sound, Kling V3.0 Turbo can generate audio alongside dynamic cinematic video. Use it for character moments, atmospheric clips, or concept pieces that benefit from combined audiovisual output.
Move from either prompts or still images to dynamic videos suited to fast social content planning. Content teams can explore campaign hooks, creator posts, and teaser directions across multiple creative starting points.
Give Kling V3.0 Turbo a written concept or source image to create a cinematic motion study. Filmmakers and creative directors can visualize story beats, scene movement, and potential endings before production.
Compare Kling V3.0 Turb0 with other video models available on Atlas Cloud across duration, resolution, audio generation, reference controls, and standard pricing.
| Model | Max Duration | Resolution | Audio Generation | Reference Control | Atlas Standard Price |
|---|---|---|---|---|---|
| Kling V3.0 Turbo Image-to-Video | 15 seconds | 720p, 1080p | √ | First and last frames | $0.112 (unit not listed) |
| Kling V3.0 Turbo Text-to-Video | 15 seconds | 720p, 1080p | √ | First and last frames | $0.112 (unit not listed) |
| Seedance 2.0 Reference-to-Video | 15 seconds | Up to 1080p | √ | Up to 9 images, 3 videos, and 3 audio clips | $0.112 (unit not listed) |
| Veo 3.1 Lite Start-End Frame to Video | 8 seconds | 720p, 1080p | √ | First and last frames | $0.05 (unit not listed) |
| MiniMax H3 Reference-to-Video | 15 seconds | 768p; 2K via regeneration | √ | Up to 9 images, 3 videos, and 3 audio clips | $0.038 per second |
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud's platform.
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Combining the advanced Kling 3.0 Turbo models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Kling 3.0 Turbo, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Kling V3.0 Turbo is a speed and cost optimized video generation model from Kuaishou. Built with MVL technology, it creates cinematic videos from text or images while supporting audio generation and frame control.
It turns written prompts into dynamic video scenes and animates static images through separate Atlas Cloud routes. Use it for cinematic motion, controlled visual transitions, and videos with generated audio.
Create an Atlas Cloud API key and submit a request to the video generation endpoint with the appropriate model ID. Match the request body to the published playground schema for your chosen input mode.
Select kwaivgi/kling-v3.0-turbo/text-to-video when your generation begins with a written prompt. Choose kwaivgi/kling-v3.0-turbo/image-to-video when you want to animate a source image.
Yes. First and last frame control lets you define the visual starting point and intended ending, giving the model clearer guidance for composition and transitions.
Audio generation is supported for both the text and image routes listed on Atlas Cloud. Review the selected route's parameter schema before submitting your request to configure the available audio options correctly.
Atlas Cloud lists a standard price of $0.112 per generated second for both routes. Billing follows transparent pay as you go pricing, so longer outputs cost proportionally more.
Choose Turbo when faster iteration and lower generation cost matter more than using the highest tier in the Kling family. For production workloads, compare representative prompts and source images before selecting a route.
First verify the API key, model ID, and required fields for the selected text or image route. Next, compare the payload with the current playground schema and inspect the returned task status or error message before retrying.
Guides, tutorials, and product updates to help you get the most out of Atlas Cloud.