Generate shots from text descriptions
Use action=text2video, explicitly specify model=kling-v3-turbo, and describe the subject, action, composition, and sound requirements in the prompt.
Overview
API
Pricing
Kling 3.0 Turbo · Video Generation
Generate short videos with native audio from text or a first-frame image
Use kling-v3-turbo to generate 3–15-second video clips. Choose std 720p or pro 1080p output, and structure prompts around the subject, action, scene, and sound.
Bring this model into your workflow
Submit requests to the public API at api.acedata.cloud using the documented parameters, then use the results in your application.
Input parameters and result formats vary by service. Use the public API for this model and follow its guide for generation, task retrieval and editing operations.
Capabilities
Start from a first-frame image
Use action=image2video and start_image_url to make the input image the starting point of the shot, then describe the subject's movement and scene changes.
Native audio generated with the visuals
This model includes native audio and does not provide an option to disable it. Omit generate_audio or set it to true; after generation, you should still verify that the sound meets delivery requirements.
Core Specifications
- Invocation ID
- kling-v3-turbo
- Endpoint
- POST /kling/videos
- Generation Methods
- Text-to-video, first-frame image-to-video
- Duration
- 3–15 whole seconds
- Quality
- std: 720p; pro: 1080p
- Audio
- Native audio, with no option to disable it
Use Cases
Individual shots in short films
Fit one clearly defined action into 3–15 seconds, validate the visuals and sound first, then combine them into a longer work.
Animate images
Use a person, product, or scene image as the first frame, and describe changes around the subject already present in the image.
Sound-enabled creative samples
Compare image quality, motion, and audio using real business prompts before deciding whether to use the generated result. The API does not guarantee that a single generation is ready for direct delivery.
How to Choose a Model
Choose Turbo for its input and audio combination
When a task requires only text or a single first-frame image and accepts native audio, you can start with kling-v3-turbo. std and pro correspond to different output resolutions; see Pricing for actual billing.
First check the specialized capabilities of other models
When you need an end frame, camera movement targets, independent negative prompts, or cfg_scale, do not apply these parameters directly to Turbo. For multi-image references and editing existing videos, choose the corresponding specialized model and operation, and verify against the documentation for that endpoint.
Getting Started
Prepare text or a single first frame
For text-to-video, use text2video and prompt; for image-to-video, use image2video and start_image_url. Write the subject's actions, camera work, and desired sounds into the description; do not submit an end frame.
Choose Turbo output settings
Explicitly set model=kling-v3-turbo for /kling/videos, choose an integer between 3–15 seconds, with std at 720p and pro at 1080p. Audio is generated natively; omit generate_audio or set it to true.
Review visuals and sound together
Use async or callback_url to retrieve completed tasks, and save the task_id and video ID; check motion, character or product details, and listen to sound effects and dialogue. For muted delivery, mute the finished video in post-production.
Trial suggestion: a first-frame ad with native sound
Input and goal
Use an image of a soda cup as the first frame, with ice cubes gently falling into the cup, bubbles rising, a fixed camera, and a quiet background, emphasizing crisp sounds.
Review and next steps
Choose 5 seconds and std or pro, then check the cup, ice cube motion, and audio; this model has no audio-off switch and does not accept an end frame.
Usage limits
- End frames, camera_control, standalone negative_prompt, and cfg_scale are not supported. Content to avoid should be written in the prompt.
- std outputs 720p and pro outputs 1080p; do not promise 4K configurations from other models for this model.
- Native audio does not provide an off switch; do not pass generate_audio=false. Muted videos require post-processing.
- Duration must be an integer between 3–15 seconds. Evaluate output quality and generation time using actual samples; do not infer speed guarantees from the model name.
Frequently Asked Questions
How do I start text-to-video?
Submit action=text2video, model=kling-v3-turbo, and prompt to POST /kling/videos, and set a valid quality and integer duration.
What is required for first-frame image-to-video?
Use action=image2video and provide start_image_url. This model supports first-frame guidance but does not support end_image_url end frames.
Which durations and resolutions can I choose?
Durations are integer values from 3–15 seconds; std is 720p and pro is 1080p.
Can I turn off generated audio?
This model includes native audio and does not provide an off switch. Omit generate_audio or set it to true; for muted output, post-process the completed video.
Are camera controls or standalone negative prompts supported?
camera_control, negative_prompt, and cfg_scale are not supported. Describe camera requirements and content to avoid in the prompt.
How do I retrieve asynchronous task results?
After setting async=true, first obtain the task_id, then query status and final video results through the task API; you can also use callback_url to receive completion notifications.
Use it in your favorite tools
Choose a development approach or application suited to this model and follow its setup guide.
↗Connect kling-v3-turbo to Python SDK
Python SDK Integration Guide
SDK installation, authentication and examples↗Connect kling-v3-turbo to TypeScript SDK
TypeScript SDK Integration Guide
SDK installation, authentication and examples
↗Kling Videos Generation API
API parameters and request examplesQuickstart
Try the API
API Key
Please obtain an API Key first
This is only a basic call example. See the full docs for more parameters and advanced usage.
View Docs