kling-v3 is the standard video generation model in Kuaishou Kling 3.0, suitable for creating short films from text concepts or static images. It supports flexible whole-second durations, first-and-last-frame guidance, synchronized audio, and multiple aspect ratios, making it useful for advertising shots and social content as well as for previewing motion in a scene. When you need to directly edit existing videos or combine multiple reference assets, choose a different Omni model.
Submit requests to the public API at api.acedata.cloud using the documented parameters, then use the results in your application.
api.acedata.cloudkling-v3Input 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.
The above are the calling specifications for kling-v3 on this platform; its native creative capabilities and the available parameters for each mode should be understood separately.
Text-to-video is suitable for designing scenes from scratch: use prompts to specify the subject, action, environment, lighting, and camera intent, then choose the duration and aspect ratio. Relevance strength and negative prompts can help express creative constraints, making them suitable for iteratively adjusting the same shot rather than cramming an entire complex plot into one short film.
Image-to-video uses a first-frame image to establish the visual starting point, and can add a last frame to specify the ending image. For product displays, character actions, or scene transitions, this approach can turn static designs into dynamic assets. Prompts should focus on how motion occurs between the two images, avoiding conflicts with the subjects and composition in the images.
When a short film needs sound, synchronized audio generation can be enabled; when more explicit camera movement is needed, camera motion control can be used in std or pro mode. The 4k mode is suitable for tasks that prioritize output clarity, but camera_control cannot be added at the same time, so image quality settings and camera control should be weighed before creation.
Input a static product image, describe the display action, background atmosphere, and camera changes, and generate product shots for subsequent editing. If you already have a clear final composition, you can also provide an end frame. Clearly specify the main subject and core action, complete individual shots first, then assemble them into a complete advertisement.
Use the event theme, scene, and subject actions as text input, select a 9:16 aspect ratio and a suitable whole-second duration, and create vertical short-form video assets. Enable generate_audio when sound is needed; if you already have a brand poster or visual design, use image-to-video to bring the design into dynamic expression.
Turn storyboard descriptions or keyframes into short videos for discussing action pacing, scene atmosphere, and camera direction. Keep subject and scene descriptions consistent, adjust only one key factor per round, and make it easier to compare different options. The deliverable is video footage suitable for further editing, rather than completing all post-production at once.
If the task is “generate a shot from a piece of text” or “make an image come alive,” the kling-v3 workflow is more direct and also provides first-and-last-frame and camera movement options. If you need to use multiple assets as independent references, or add or remove elements from existing videos or change their style, choose kling-v3-omni or kling-o1; the standard version's first-and-last-frame guidance is not equivalent to video editing.
Compared with most older models that accept only 5-second or 10-second durations, kling-v3 can schedule shots between 3–15 seconds in whole-second increments, making it easier to match short-video pacing. It supports synchronized audio, while kling-v2-6 limits audio to pro. Existing older-version workflows can be retained; when you need flexible duration, 4K, or a combination of camera movement and audio, consider this model first.
For text-only, choose text2video; for image animation, choose image2video and provide start_image_url, optionally with end_image_url. Clearly describe the action for a single shot; for multiple shots, configure them separately according to this model's storyboard fields.
Specify model=kling-v3 to /kling/videos, and start with a whole-number duration of 5 seconds and std/pro. Set generate_audio=true when audio is needed; do not pass camera_control when 4k is needed.
Save the asynchronous task and video ID, and obtain the finished video through queries or callbacks; check the actions, shot transitions, and final frame, and listen to the audio after enabling it. For multi-shot tasks, also verify the action order and duration of each segment.
A craftsperson first takes out a piece of wood, then shows the carving details, and finally places the finished product on the table, in a cinematic style, accompanied by subtle crafting sounds.
Organize actions using whole-number durations of 3–15 seconds; use only combinations supported by the guide for multi-shot, audio, and camera position control, and do not pair 4k with camera_control.
Submit a request to POST /kling/videos and explicitly set model to kling-v3. For text creation, use action=text2video and fill in prompt; for image creation, use image2video and provide start_image_url, then choose the duration, aspect ratio, and audio as needed.
Integer durations from 3–15 seconds are supported, along with three aspect ratios: 16:9, 9:16, and 1:1. You can arrange the composition for advertising shots, vertical short videos, or square content; the duration should match the subject's actions, and too many continuous events should not be planned in a short clip.
Select image2video and first provide the starting frame with start_image_url; add end_image_url when you need to specify the ending image. The end frame cannot be submitted without the start frame. The prompt can describe how the subject transitions from the initial state to the final state, keeping the visual guidance consistent with the action requirements.
4k mode supports generate_audio but does not support camera_control. Explicitly enable audio generation if you need sound; use std or pro if you need parameterized camera movement. Audio is disabled by default, so selecting 4k alone will not automatically produce a video with sound.
You can set async=true to first obtain task_id, then query task progress and results; you can also configure callback_url to receive completion notifications. Completed results include information such as video_url, video_id, and state. Retrieve the video after confirming success, rather than treating successful task submission as completed video generation.
Choose a development approach or application suited to this model and follow its setup guide.
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This is only a basic call example. See the full docs for more parameters and advanced usage.
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