Kling V3 Omni Video
Neural Network
Kling V3 Omni Video is a multimodal model for video generation with native audio, references, and multi-shot control.
Specifications
- Input
- text, images, video
- Output
- video
- Video duration
- 3–15 s
- Aspect ratio
- 16:9, 9:16, 1:1
- Audio generation
- Yes
Video generation
(duration 8 sec., 720p)
Video generation
(duration 8 sec., 1080p)
How it works Kling V3 Omni Video?
Kling V3 Omni Video is a multimodal video generation model that combines reference images, video editing, native audio, and multi-shot control in one process. Instead of using multiple tools, you build the entire scene: define it via text or image, refine with references, manage shot changes, and get the audio track directly within the model, without a separate dubbing stage. Running Kling via BotHub is convenient: access from Russia without VPN or foreign cards, pay with Russian cards in rubles only for used caps, no subscription needed. Over 250 models in one window, requests encrypted via AES-GCM, a unified API for developers, and contracts/invoices/EDO with admin panels and limits for companies. Useful for ad teasers based on product references, vertical videos with built-in sound, animating static frames, pre-viz and storyboards for pitches, and editing existing footage without reshooting.Frequently asked questions about Kling V3 Omni Video
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is a video model from kwaivgi: it generates clips from text descriptions, reference images, and uploaded videos. Suitable for ad inserts, animating static frames, scene pre-visualization, and social media content. Access from Russia without VPN or foreign cards, payment via Russian cards.
You get a video clip assembled from a prompt, a reference frame, or source video. Exact duration and resolution parameters are in the page header. The finished file can be downloaded immediately after generation in the BotHub web interface or Telegram bot.
No separate reasoning mode is noted in our data: the model does not output a chain of thought, but generates frames immediately. If you need a script or storyboard, work them out with a text model in the same BotHub window, then pass the final prompt to generation.
Function calling and structured JSON output are not noted in our data — this is a generative video model, not a text assistant. However, it works via the unified OpenAI-compatible BotHub API: requests and responses are in JSON, and you can switch models without rewriting the integration.
Yes, according to our data, the model accepts images and video as input: you can animate a static frame or rework an existing clip while maintaining composition. Audio input is not specifically noted. Uploading files is convenient on both the website and the BotHub Telegram bot.
The BotHub interface, payment, and support are in Russian, with payments in rubles based on usage. Specifics of language processing by the model itself are not noted in our data, so rely on practice: the more detailed the description of the scene, lighting, and camera movement, the more predictable the result.