
Kling v2.5 Turbo Pro is Kuaishou's Kling video generation model for turning prompts and source images into polished clips. It delivers cinematic motion precision and enhanced temporal stability, helping scenes remain coherent as subjects and cameras move. Atlas Cloud provides both generation modes through a unified API with transparent pay-as-you-go pricing and one OpenAI-compatible key. Start building today.
Kling 2.5 Turbo Pro 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.
Compare text-driven creation and image animation workflows across the Kling v2.5 Turbo Pro endpoints.
| Modality | Description |
|---|---|
| Kling v2.5 Turbo Pro T2V API (Text to Video) | Turn text prompts into video with high-speed generation, cinematic motion precision, and enhanced temporal stability. This endpoint suits concept visualization, narrative sequences, promotional clips, and other workflows that begin with written direction. |
| Kling v2.5 Turbo Pro I2V API (Image to Video) | Animate still images as lifelike video clips at 2× faster speed while preserving fine textures and consistent lighting. Use it for product visuals, character animation, social content, or any project that needs motion built from an existing image. |
Kling v2.5 Turbo Pro brings high-speed text-to-video, 2× faster image-to-video generation, 5 or 10 second outputs, first and last frame guidance, flexible framing, and precise prompt controls together through Atlas Cloud's unified pay-as-you-go API.
The text-to-video endpoint is tuned for high-speed generation with cinematic motion precision and enhanced temporal stability. It turns written direction into moving sequences while maintaining continuity through fast action. Prompt the subject, staging, and camera path in one request. This makes it a strong fit for kinetic ads, action beats, and short narrative shots that need clean, controlled motion.
The image-to-video endpoint transforms one still into a lifelike clip at 2× faster speed while preserving fine texture and lighting consistency. Add a motion prompt to guide the subject, environment, and camera. The required source image anchors composition and visual identity across the sequence. Choose this path for product shots, portraits, illustrations, or artwork that must move without losing its original look.
Need a controlled visual destination? Supply a required first frame and an optional last image to guide the image-to-video endpoint from opening composition to ending frame. Atlas Cloud accepts JPG, JPEG, or PNG inputs up to 10 MB, with at least 300 by 300 pixels and aspect ratios from 1:2.5 to 2.5:1. It suits planned reveals, transformations, and branded transitions.
Generate either 5 or 10 second clips, then frame text-to-video output in 16:9, 9:16, or 1:1. Those options let one endpoint serve widescreen stories, vertical feeds, and square placements without changing models. Image-to-video also offers the same two duration choices. Use the shorter setting for rapid iterations and the longer setting when a motion beat needs room to resolve.
Kling v2.5 Turbo Pro accepts prompts up to 2,500 characters, an optional negative prompt up to 2,500 characters, and guidance values from 0 to 1. Tune how closely motion follows your direction, then exclude unwanted visual traits. Both generation paths use Atlas Cloud's unified API with transparent pay-as-you-go access. The listed standard base price is $0.07, making repeatable testing easier to budget.
Compare how three video models interpret the same prompt through motion continuity, camera control, visual coherence, and storytelling.
An 8–10 second one-take “breakfast rescue” inside a luxurious zero-gravity starship restaurant: begin from an extreme low-angle POV inside a polished silver cloche as a silver-white-uniformed waiter lifts the lid; a sudden attitude shift sends a sunny-side-up egg, bright red berries, and exactly three spherical globules of coffee drifting apart. The camera follows one coffee sphere upward, barrel-rolling smoothly through the floating liquid as surface tension makes it wobble, stretch, split slightly, and recombine; whip-pan to the waiter kicking off the table, spinning upside down, and using his tray for a rapid sequence of precise ricochets that bounce the egg and berries neatly back onto the plate. Rapid dolly-out reveals the full cobalt-blue dining cabin and the waiter suspended inverted mid-catch, maintaining consistent character design, costume, props, and spatial continuity. He reaches triumphantly for the final coffee globule—only for a translucent pet jellyfish to drift across, gulp it down, and gradually turn coffee-brown from bell to tentacles. End with a fast push-in on the jellyfish’s wide-eyed, innocently blinking expression as the waiter freezes in comic disbelief. Retro-futurist cel animation with crisp hand-drawn outlines and sophisticated fluid-effects animation, layered cobalt blue, creamy yellow, and berry red composition, cold white porthole light carving strong rim silhouettes, lively parallax, believable zero-gravity inertia, collisions, liquid deformation, and uninterrupted high-density motion. Audio: soft starship ambience, cloche chime, airy whooshes, rhythmic tray pings synchronized to each ricochet, elastic liquid plops, then one tiny comedic gulp and a playful musical sting. No screens, software interfaces, dashboards, progress bars, graphs, captions, labels, logos, watermarks, slow motion, static filler, jump cuts, duplicated food, extra coffee globules, broken anatomy, costume changes, identity drift, inconsistent object positions, implausible gravity, or chaotic liquid flicker. 16:9 aspect ratio.
Generated with Kling v2.5 Turbo Pro Text-to-video on Atlas Cloud
Generated with Seedance 2.0 Text-to-Video on Atlas Cloud
Generated with Kling V3.0 Turbo Text-to-Video on Atlas Cloud
An 8–10 second continuous high-energy sequence on a storm-lashed mountaintop observatory at night: beneath a brilliant Milky Way, the camera plunges rapidly from outside the rotating dome, dives through the open observation slit, then skims sideways past tumbling star-chart papers to track the same female maintenance engineer throughout—distinct face, orange insulated suit, dark helmet, magnetic boots—chasing a spherical probe that has broken free and is drifting through sudden zero gravity. The tilted wide-angle framing rolls with the spinning dome as she runs magnetically across the curved wall, releases one boot, grabs the swinging telescope mount, and arcs into midair; whip-pan into a fast 360-degree orbit as her suit fabric, loose straps, snow crystals, tools, and papers move with believable inertia and complex weightless physics. Just before her outstretched glove reaches the probe, it unfolds in a crisp mechanical transformation into a silver robotic jellyfish, catches her gently with articulated tendrils, and blooms a translucent deceleration membrane, lowering her safely onto the rotating floor as gravity returns. Cold blue moonlight and pulsing orange hazard lights sweep alternately across silver-blue metal and coal-black shadows; restrained silver-blue, coal-black, and warning-orange palette, photorealistic retro science-fiction cinema, practical miniature texture, subtle film grain, dynamic motion blur, sharp subject continuity, seamless choreography, no slow motion. Audio: howling blizzard, groaning dome machinery, magnetic boot clanks, rushing paper, tense analog-synth pulse, then a bright mechanical unfurl and soft landing impact. No screens, software interfaces, dashboards, progress bars, charts, captions, subtitles, logos, or readable text. 16:9 aspect ratio.
Generated with Kling v2.5 Turbo Pro Text-to-video on Atlas Cloud
Generated with Seedance 2.0 Text-to-Video on Atlas Cloud
Generated with Kling V3.0 Turbo Text-to-Video on Atlas Cloud
Kling v2.5 Turbo Pro turns scene prompts and still images into cinematic, temporally stable motion for storyboards, product launches, editorial campaigns, action previsualization, artwork, and training visuals.
Turn written scene concepts into cinematic motion with precise movement and stable timing. Directors and creative teams can preview dramatic beats, camera intent, and visual pacing before committing to full production.
Animate polished product stills while retaining fine texture and consistent lighting. Marketing teams can turn approved key art into motion assets for launches, landing pages, and campaign testing across digital channels.
Build fashion and editorial clips from text with cinematic motion precision and enhanced temporal stability. Brands gain composed visual sequences for lookbooks, concept pitches, and campaign treatments without arranging a shoot.
Need fast iteration for action concepts? Kling v2.5 Turbo Pro renders prompt-driven movement with stable timing, helping sports creatives and filmmakers compare choreography, pacing, and shot ideas before production begins.
Bring illustrations and photographic stills to life at twice the generation speed while preserving texture and lighting. Artists can create expressive loops, mood pieces, and animated portfolio visuals from existing artwork.
Use Kling v2.5 Turbo Pro to animate clear visual sequences from prepared stills with consistent lighting and fine detail. Educators can produce concise process demonstrations and training visuals for focused instruction.
See how Kling v2.5 Turbo Pro compares on clip length, resolution options, native audio support, and standard Atlas Cloud pricing.
| Model | Output Duration | Resolution Options | Native Audio | Standard Price |
|---|---|---|---|---|
| Kling v2.5 Turbo Pro Text-to-video | 5 or 10 seconds | 720p, 1080p | - | $0.07/second |
| Seedance 2.0 Fast Text-to-Video | 4 to 15 seconds | 480p, 720p; SR to 1440p | √ | $0.09/second |
| Wan-2.7 Text-to-video | 2 to 15 seconds | 720p, 1080p | √ | $0.10/second |
| Veo 3.1 Lite Text-to-video | 4, 6, or 8 seconds | 720p, 1080p | √ | $0.05/second |
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Combining the advanced Kling 2.5 Turbo Pro 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 2.5 Turbo Pro, 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 v2.5 Turbo Pro is a Kuaishou video generation model available through Atlas Cloud. It supports high speed text-to-video creation and image animation with cinematic motion, temporal stability, and consistent visual details.
Turn written prompts into cinematic clips or animate still images with controlled actions and camera movement. Image-to-video generation is designed to preserve fine textures, lighting, and the overall appearance of the source image.
Create an API key in the Atlas Cloud dashboard and send a POST request to the video generation endpoint with the relevant model ID and required inputs. Poll the returned prediction ID until processing finishes, then retrieve the generated video URL from the outputs field.
Choose `kwaivgi/kling-v2.5-turbo-pro/text-to-video` when your starting point is a written scene description. Use `kwaivgi/kling-v2.5-turbo-pro/image-to-video` when you want to animate an existing image or guide a transition between two frames.
Text-to-video requests support 5 or 10 second clips in 1:1, 9:16, or 16:9 aspect ratios. Image-to-video accepts JPG, JPEG, or PNG source images up to 10 MB, with at least 300 by 300 pixels and an aspect ratio from 1:2.5 to 2.5:1.
Both workflows accept a positive prompt, an optional negative prompt, duration, and a guidance scale from 0 to 1 with a default of 0.5. Text-to-video also provides aspect ratio selection, while image-to-video accepts a required starting image and an optional ending image.
Atlas Cloud lists the standard price at $0.07 per second for both supported endpoints. Pay-as-you-go billing lets you select the workflow and duration required for each request without a subscription commitment.
Yes, the image-to-video endpoint requires an `image` as the starting frame and optionally accepts `last_image` as the ending frame. Supplying both guides the model to create a visual transition between those two images.
First verify the API key, exact model ID, required fields, supported duration, and any applicable image or aspect ratio constraints. If the status becomes `failed`, inspect the returned error before changing the prompt or submitting another request.
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