Reference Image Animation
Animates static images by combining start frames, style references, and multi-angle Elements inputs to generate video from still visuals.
Kling
Kling O1
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.
Unknown
1,000 context
N/A output
Reference Image Animation
Reference Video Generation
In-Video Editing
Elements System
Multimodal Input
Frame Timing Control
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Kling
Input Context Window
The number of tokens supported by the input context window.
1,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Kling
Modalities
Types of data this model can process.
Video
Text
Image
What is Kling O1
A fuller summary of positioning, capabilities, and source-specific details for Kling O1.
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.
Capabilities
What Kling O1 supports
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.
Pricing for Kling O1
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Kling
Configuration & Parameters
The configurable options currently documented for this model.
Mode
Toggle GroupDuration
SelectAspect Ratio
Toggle GroupSupported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about Kling O1
Kling O1 discussions are most active in r/KlingAI_Videos, r/klingO1, r/aivideos. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions.
The strongest match in this snapshot has 347 upvotes and 47 comments.
[https://www.youtube.com/watch?v=V\_oiFFTpxHs](https://www.youtube.com/watch?v=V_oiFFTpxHs)
I've been testing the new Kling O1 model (running on Higgsfield), and the jump in temporal coherence is actually startling.
A few months ago, this kind of motion would have been a flickering mess of artifacts. Now, the object permanence and lighting consistency are holding up almost perfectly throughout the clip.
We are getting very close to the point where "AI video" creates indistinguishable footage. How long do you think until we hit full photorealism for 60+ second clips? 2026?
I made this Ben 10 **movie-style trailer concept** using **Kling O1 Edit**.
This is **not an official trailer** — just a fan-made AI edit. The goal was to imagine what a modern, live-action Ben 10 movie could look like if it had a more cinematic tone.
1. Go to the **AI Video Generator**
2. Write your full prompt or add reference images
3. Upload the image you want to animate
4. Click **Generate** and get your animated video
I focused mainly on the **vibe and pacing** rather than telling a full story. I wanted it to feel like a quick teaser you’d randomly see online and think: *“Wait… is this real?”*
Everything here is AI-assisted, from the visuals to the edit itself. It’s still pretty wild how far these tools have come, especially for short trailer-style concepts like this.
I know live-action adaptations can be hit or miss, but I’m curious —
**Would you actually watch a Ben 10 movie if it looked something like this?**
Open to feedback, thoughts, or ideas on what scenes/aliens would be cool to try next.
What do you think?
FAQ
Common 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.
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