Kuaishou’s Kling AI lineup has begun rolling out Kling 4.0 in preview, marking one of the largest capability jumps in the model’s history. The update spans clip length, reference handling, native resolution, and audio, addressing persistent limitations that have hindered AI video tools in professional workflows.
Kling 4.0 Preview extends native generation to up to 30 seconds per clip, with an experimental Long Video mode capable of producing continuous 120-second sequences at 1080p. Generated clips can also be extended to 60 seconds after the fact. This directly responds to one of the most repeated complaints about earlier Kling versions, whose shorter native runtimes made narrative and advertising work harder to plan around. Longer clips reduce the need for stitching multiple segments, streamlining production for storytellers and marketers.
The centerpiece of the update is Omni Reference, a system that lets a single generation draw on up to 15 reference elements pulled from a pool of as many as 50 uploaded files—30 images, 10 video clips, and 10 audio clips. In practice, that lets a creator lock a character’s face across multiple shots, match a product’s exact color from a reference photo, or carry a specific lighting setup from one scene into the next, without re-describing those details in every new prompt. This capability could significantly reduce manual effort and improve consistency in complex projects.
Multi-shot generation runs on the same reference system: a single prompt can now produce a sequence of shots that hold spatial continuity—a room stays the same room as the camera moves, and characters keep the same clothing and face across cuts. That continuity has historically been a weak point for AI video tools, where a scene often visibly ‘resets’ the moment the camera angle changes. By solving this, Kling 4.0 enables more coherent narratives, a boon for advertising and film pre-visualization.
On audio, dialogue, ambient sound, and music are generated in the same pass as the picture rather than layered on afterward, with lip movement synced to spoken lines across multiple languages and accents—and different lines can be assigned to different characters within the same scene. This removes a manual dubbing step that previously required separate audio software, potentially saving hours in post-production and making AI-generated videos more accessible to non-experts.
Native 4K output (3840×2160) rounds out the release, aimed at preserving fine texture, sharp edges, and depth of field through fast-motion shots rather than relying on post-generation upscaling—a distinction creators evaluating AI video tools have increasingly flagged as the real test of whether a clip survives the move from preview window to actual publish. Native 4K ensures that outputs meet broadcast and cinema standards without additional processing.
Kling4.org provides direct access to Kling 4.0’s generation modes as they roll out—including standard, Pro, and native 4K tiers—letting creators, marketers, and small teams begin testing prompt-to-clip workflows, persistent-character generation, and multi-shot sequencing as the preview becomes more broadly available. The site also offers a Kling 4.0 video prompt library for creators who want practical starting points for their own scenes. For those seeking the main platform, Kling 4.0 serves as the central hub.
The implications are substantial. By extending clip length, enhancing reference control, and integrating high-quality audio and 4K resolution, Kling 4.0 lowers barriers to professional-grade video creation. This could democratize content production, enabling smaller teams to compete with larger studios. As AI video tools evolve, Kling 4.0 sets a new benchmark, potentially accelerating adoption across industries from entertainment to e-commerce.
