Kling O1
Kling Video O1 is a unified multimodal AI video model that seamlessly combines text, images, and video to generate, edit, and extend footage with remarkable consistency.
Kling 
WaveSpeed Unified text, image, and video generation model
Kling Video O1 is an AI video generation model developed by Kuaishou Technology, built on a Multimodal Visual Language (MVL) framework that accepts text, images, and video as inputs within a single unified system. The model supports three distinct operating modes — Reference Images, Reference Video, and Video Editing — allowing creators to animate static visuals, generate or extend footage from a reference video, or modify specific elements within an existing clip while leaving the rest of the scene intact.
A defining feature of Kling Video O1 is its Elements system, which lets users upload up to four images of a character or object from different angles to give the model a near-3D understanding of the subject. This enables consistent identity preservation across multiple shots and dynamic camera movements, addressing a common challenge in AI video generation. The model is well suited for use cases in film production, advertising, and social media content creation where reference-driven control and shot-to-shot consistency are required.
What Kling O1 supports
Reference Image Animation
Animates static images by combining start frames, style references, and multi-angle Elements inputs to generate video from still visuals.
Reference Video Generation
Generates new shots or extends existing footage using a source video and natural language prompts, with support for motion transfer.
In-Video Editing
Modifies specific elements within an existing video clip — such as clothing, backgrounds, or objects — while preserving unedited regions of the scene.
Elements System
Accepts an array of up to 4 images of a subject from different angles to build a consistent identity model used across shots and camera movements.
Multimodal Input
Accepts text prompts, single image URLs, image arrays, and video URLs within a unified input pipeline via the MVL framework.
Frame Timing Control
Supports configurable frame timing settings, allowing creators to control temporal structure and pacing within generated video outputs.
Ready to build with Kling O1?
Get Started FreeCommon questions about Kling O1
What is the context window for Kling Video O1?
Kling Video O1 has a context window of 1,000 tokens, as specified in the model metadata.
Who developed Kling Video O1?
Kling Video O1 was developed by Kuaishou Technology and is published under the Kling brand.
What input types does Kling Video O1 accept?
The model accepts text prompts, single image URLs, arrays of image URLs (for the Elements system), and video URLs, along with toggle and select configuration inputs.
What are the three main modes of Kling Video O1?
The model operates in three modes: Reference Images Mode (animating static visuals), Reference Video Mode (generating or extending footage from a source video), and Video Editing Mode (modifying specific elements within an existing video).
When was Kling Video O1's training data cut off?
According to the model metadata, the training date is listed as December 2025.
How does the Elements system work?
The Elements system allows users to upload up to 4 images of a character or object from different angles. The model uses these to maintain consistent subject identity across multiple shots and camera movements.
What people think about Kling O1
Reddit discussions around Kling O1 in the r/singularity community were generally positive, with users highlighting the model's video editing capabilities and its unified approach to generation and editing as notable developments. The thread on consistency in video generation attracted attention for demonstrating improved subject coherence across shots.
Some users in the threads discussed the broader implications of the model's consistency improvements rather than specific technical limitations, and several comments focused on practical use cases such as short-form content creation and scene editing. The discussions reflect interest in how the model handles identity preservation across dynamic camera movements.
Kling O1 a new model that can edit videos and more
The consistency in video generation is improving faster than I expected (Kling O1 test)
Parameters & options
Explore similar models
Kling Kling O3
Kling Video O3 is Kuaishou's most advanced omni-video model, built for reference-driven, multi-shot cinematic storytelling with consistent characters, native audio, and precise creative control.
Kling Kling 3.0 Motion Control
Kling 3.0 Standard Motion Control transfers motion from reference videos to animate still images.
Kling Kling 2.6 Pro Motion Control
Kling V2.6 Pro Motion Control transforms static character images into dynamically animated videos by precisely extracting and transferring motion from real reference video clips.
X.ai Grok Imagine
X.ai's fast, native text-to-video and image-to-video generation model with built-in audio, multiple aspect ratios, and flexible creative modes.
ByteDance DreamActor V2
ByteDance DreamActor V2 is a motion transfer model that animates any character — human, cartoon, or creature — by applying movements from a reference video to a static image.
PixVerse PixVerse V5.6
PixVerse V5.6 is an AI video generation model that gives you precise creative control over your videos, including the unique ability to define both the starting and ending frames of every scene.
Start building with Kling O1
No API keys required. Create AI-powered workflows with Kling O1 in minutes — free.