Kling 3 AI Video Generator

Kling 3 is a multi-modal AI video generation model from Kuaishou. It is designed for teams that want to combine text direction with image, video, and audio references in one workflow, then use those references to keep subject identity, motion intent, and scene rhythm more controlled than prompt-only generation usually allows.

Kling 3 supports text prompts together with image, video, and audio inputs. That matters because the model can use a still frame for identity, a clip for movement, and an audio track for timing inside the same generation job, rather than forcing creators to split those decisions across separate tools or passes.

Kling 3 generates clips from 3 to 15 seconds with 720p, 1080p, and native 4K output at up to 60fps on Kling 3 Omni. The workflow targets short-form production and storyboard sequences where teams need a concise result to review, then extend or revise before final delivery.

Kling 3 uses uploaded images and video clips as direct reference material for the scene, including start-frame and element-style references. In practice that means creators can anchor the subject, styling, motion logic, and key objects before generation begins, which reduces drift when a project depends on one hero product, one face, or one campaign look carrying through multiple beats.

Kling 3 includes native audio generation and lip-sync support. The current model positioning emphasizes spoken dialogue, ambience, and soundtrack-aware generation inside the same workflow, with five supported output languages, so teams do not need to move every draft into a separate audio pipeline before they can evaluate timing.

Kling 3 supports storyboard-style sequences rather than only isolated single shots. The model is described around workflows with up to six camera cuts, which makes it more useful for ad concepts, pre-visualization, and short narrative scenes where the edit rhythm matters as much as the quality of any single frame, including scenes that need three or more people to remain coherent.

Using Kling 3 on Alici starts with assembling the scene inputs you already have: a prompt, one or more reference images, any relevant motion clips, and audio if timing matters. From there the workflow is to generate a short preview, review continuity and pacing, and then refine the result through extension or scene-level edits.

Kling 3 is best suited to short campaign videos, pre-visualization, product reveals, paid social hooks, and creator-facing concept work. Those are the cases where reference control matters most, because the team usually needs to preserve one look system, one product silhouette, or one speaking subject while still exploring different pacing and scene structures.

Kling 3 does not require traditional timeline-editing experience to get started, but it does reward clear direction. Teams that already think in terms of framing, pacing, and continuity usually get better results, because the model responds more predictably when prompts and references explain the scene like a production brief rather than a loose idea list.

Commercial use depends on Alici plan terms and the rights status of every input you upload. The safer assumption is that teams should review current platform policies, confirm they control the source assets, and clear any likeness, music, trademark, or client-use requirements before publishing Kling 3 output in paid media or customer-facing campaigns.