kling-v2-5-turbo is Kuaishou Kling V2.5 Turbo video model, suitable for turning text concepts or static images into short shots. It offers two main creation methods: text-to-video and image-to-video, and in pro mode, first and last frames can be used to arrange the opening and ending visuals. For product showcases, character motion, and storyboard trials, generation tasks can be organized around clear action and visual goals.
Clarify capacity, inputs and outputs, and invocation methods before selecting a model.
The durations and control ranges above apply to this platform's invocation entry point; photo talking is a combined creation workflow and does not mean the model natively generates accompanying audio.
Learn what kling-v2-5-turbo can bring to your work.
Use text2video to describe the subject, scene, action, and lighting, turning your shot concept into video. When creating, focus on one main event, such as a person turning around or a product entering the frame, then use negative prompts to exclude unwanted elements, making it easier to compare the visual approaches created by different descriptions.
Image-to-video uses the first frame as the visual starting point, making it suitable for projects that already have product images, character images, or storyboard frames. pro mode can also add an ending frame, giving the creation both a starting point and an end goal. First and last frames guide generation rather than provide frame-by-frame editing, so intermediate actions still need to be clearly expressed through prompts.
In the talking photo workflow, submit a character image and prepared audio to create a dynamic talking-head video. V2.5 Turbo animates the photo, then performs lip sync based on the audio; prompts can describe actions and expressions during the animation stage, and the results include both the final video and a link to the intermediate animated video.
Start with specific tasks to find where the model can be most effective.
Input a product first-frame image, describe the desired action, environment, and lighting, and generate short shots for product pages or promotional edits. When you need to specify the ending composition, choose pro and add an ending frame; first determine whether the intended use is landscape, portrait, or square, then organize the assets to reduce composition loss caused by later cropping.
Break an individual shot in the script into descriptions of subject, action, and scene to generate different visual versions with text; when storyboard images already exist, use the first frame to begin. The deliverables are video clips that can be viewed and edited, suitable for comparing shot directions and visual atmosphere rather than concentrating an entire multi-scene narrative into a single generation.
Prepare a clear front-facing photo of one person and recorded dialogue audio, then use /kling/talking-photo to generate a character introduction or short talking-head video. The audio length is recommended not to exceed the selected video duration, and action prompts should mainly describe expressions and subtle movements; when complete, you can obtain the lip-synced final video and the non-lip-synced animation clip.
Choose based on task complexity, input materials, and expected results.
If the goal is to create a short shot starting from a single image, you can choose std or pro based on the task; when the ending frame must also guide the generation, choose pro. Compared with kling-v2-1-master, the pro version of V2.5 Turbo provides a first-and-last-frame creation method, making it more suitable for tasks with prepared starting and ending storyboards, but this does not mean the intermediate process can be precisely locked frame by frame.
The focus of choosing V2.5 Turbo is short video creation driven by text or images. If you need to generate accompanying audio synchronously, consider the pro version of kling-v2-6; if you need a duration of 3 to 15 seconds or 4K mode, consider kling-v3. If the task involves multi-image references or directly editing existing videos, choose kling-o1 or kling-v3-omni instead of adding these material fields to this model.
From a small-scale task to formal integration.
Clarify the goal, required inputs, and output requirements, using real business examples as a starting point.
Open the trial page, confirm the parameters supported by this entry point, then submit a small-scale task to view the results.
Keep the complete model ID, use the request format specified in the documentation, and confirm billing rules on the Pricing page.
Before formal use, understand the output quality and capability scope.
Answers to common questions about using kling-v2-5-turbo.
Explicitly specify model=kling-v2-5-turbo in /kling/videos or /kling/talking-photo requests; do not rely on the default model. For video creation, also choose text2video or image2video; image-to-video requires a first frame, while talking photo requires an image and audio.
V2.5 Turbo std does not support end frames, while pro supports start and end frame guidance. When you need to specify the ending image, choose image2video and pro, and submit both start_image_url and end_image_url; submitting only an end frame is not valid, and an end frame cannot replace a start frame.
Regular video generation does not support generate_audio. If you already have voiceover audio, you can use the talking photo option to combine a portrait image and audio into a lip-sync video; this does not mean the model creates sound itself. For video tasks that need synchronized audio generation, choose a Kling version that supports this capability.
This model is suited for text, start-frame, and pro start-and-end-frame creation, and should not be given multiple images or reference videos according to the Omni workflow. When you need to reference multiple subjects, use video features, or modify an existing video, choose kling-o1 or kling-v3-omni and organize the task according to the corresponding asset rules.
Completed results provide video_url, video_id, task_id, and status information. For batch or background tasks, you can use async=true to obtain a task ID and then query the result, or configure callback_url to receive completion notifications; talking photo results additionally provide source_video_url for the intermediate animation.
Model information · Updated: 2026-10-01. See the API and pricing sections for request parameters and billing rules.
Start with a clear goal and evaluate whether it suits your work based on real results.
This is only a basic call example. See the full docs for more parameters and advanced usage.
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