Kling 3.0 is a multimodal AI video model that generates video, native audio, and multi-shot scenes in a single architecture. It is available on Higgsfield, where creators can generate clips from 3 to 15 seconds in 720p, 1080p, or 4K. The model supports multi-shot generation with up to 5 shots, start and end frame control, and element tagging for subject consistency.
What Kling 3.0 Is
Kling 3.0 is the current generation of the Kling video model, and the first to unify video, audio, and image generation inside one architecture. Earlier Kling versions treated each generation as one continuous clip. Kling 3.0 adds structure: shots, durations, frame constraints, and consistent elements across the whole video. Here are its parameters on Higgsfield:
Parameter | Options |
|---|---|
Duration | 3 to 15 seconds |
Resolution | 720p, 1080p, 4K |
Aspect ratio | 16:9, 9:16, 1:1 |
Audio | On or off per generation |
Shots | Up to 5 per video, each with its own prompt and duration |
Optional inputs | Start frame, end frame, or both |
Presets | 8 presets for common shot styles |
The sections below cover each of these controls and how to apply them.
How to Use Kling 3.0 on Higgsfield?
Kling 3.0 is how Higgsfield handles structured video generation: shots, frames, and audio are defined before generation starts. The workflow takes five steps, from model selection to generation:
Open the video generation page on Higgsfield and select Kling 3.0 in the model picker.
Write your prompt: describe the subject, the action, the camera behavior, and the visual style.
Set the parameters: duration, resolution, aspect ratio, and audio on or off.
Attach optional inputs if you need them: a start frame, an end frame, or both.
Generate. Review the result, adjust the prompt or the frame constraints, and iterate.
For multi-shot videos, one more control appears before generation.








