Kling

Kling Image O1

Kling Image O1, formally known as Kling Omni Image O1, is an image generation model developed by Kuaishou Technology, the company behind the Kling AI ecosystem. It is built on a Multimodal Visual Language (MVL) framework that combines natural language understanding with multi-reference image processing, allowing it to accept between 1 and 10 reference images simultaneously and extract consistent visual features across all outputs. The model was trained through December 2025 and supports a context window of 10,000 tokens. The model is designed to address a common challenge in AI image generation: maintaining consistent character identity, style, and visual detail across multiple generated images. It is particularly suited for workflows such as IP character design, comic and manga creation, brand merchandise imagery, and serialized visual content where cross-image consistency is a requirement. Inputs include image URL arrays alongside select and toggle controls, giving users structured options for guiding generation behavior.

December 2025 10,000 context N/A output
Multi-Reference Input Character Consistency Style Control Precision Element Editing Configurable Generation Options MVL Framework Processing

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.

10,000 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.

December 2025

Knowledge Cut-off Date

When the model's knowledge was last updated.

December 2025

API Providers

The providers that offer this model. This is not an exhaustive list.

Kling

Modalities

Types of data this model can process.

Image Text

What is Kling Image O1

A fuller summary of positioning, capabilities, and source-specific details for Kling Image O1.

Kling Image O1, formally known as Kling Omni Image O1, is an image generation model developed by Kuaishou Technology, the company behind the Kling AI ecosystem. It is built on a Multimodal Visual Language (MVL) framework that combines natural language understanding with multi-reference image processing, allowing it to accept between 1 and 10 reference images simultaneously and extract consistent visual features across all outputs. The model was trained through December 2025 and supports a context window of 10,000 tokens.

The model is designed to address a common challenge in AI image generation: maintaining consistent character identity, style, and visual detail across multiple generated images. It is particularly suited for workflows such as IP character design, comic and manga creation, brand merchandise imagery, and serialized visual content where cross-image consistency is a requirement. Inputs include image URL arrays alongside select and toggle controls, giving users structured options for guiding generation behavior.

Capabilities

What Kling Image O1 supports

AI

Multi-Reference Input

Accepts between 1 and 10 reference images simultaneously via image URL arrays, extracting outlines, color tones, and lighting from each to inform generation.

AI

Character Consistency

Preserves subject identity across multiple generated images, maintaining recognizable features of characters or objects from one output to the next.

AI

Style Control

Sustains a coherent visual aesthetic and tone across an entire project, suitable for brand systems, comic series, and marketing campaigns.

AI

Precision Element Editing

Allows specific elements to be added, removed, or modified through natural language instructions without disrupting the surrounding style or texture.

AI

Configurable Generation Options

Exposes select and toggle group inputs so users can control generation parameters such as aspect ratio or output mode directly at the API level.

AI

MVL Framework Processing

Uses a Multimodal Visual Language framework to interpret complex creative text prompts alongside visual references within a 10,000-token context window.

Pricing for Kling Image O1

Primary API pricing shown in the same “quick compare” spirit as the reference page.

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.

Reference Images

Image URL Array

Provide up to 10 references images of the scene, subject, objects, or anything else in the image.

Aspect Ratio

Select
Default: 16:9
16:9 9:16 1:1 4:3 3:4 3:2 2:3 21:9

Resolution

Toggle Group
Default: 2k

Supported Request Parameters

Parameters currently listed by OpenRouter or the local catalog for this model.

Reference Images Aspect Ratio Resolution

Resources & Documentation

Official model cards, release notes, docs, and other references synced from the source page.

Community discussion

What people think about Kling Image O1

Kling Image O1 discussions are most active in r/lmarena. The strongest match in this snapshot has 12 upvotes and 16 comments.

r/lmarena 12 upvotes 16 comments April 25, 2026
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FAQ

Common questions about Kling Image O1

How many reference images can I provide at once?

The model supports between 1 and 10 reference images simultaneously, supplied as an array of image URLs.

What is the context window for Kling Image O1?

The model has a context window of 10,000 tokens, which covers both the text prompt and associated image reference metadata.

What was the training data cutoff for this model?

According to the model metadata, the training date is listed as December 2025.

What input types does the model accept?

The model accepts image URL arrays, select inputs, and toggle group inputs, allowing structured control over generation behavior alongside visual references.

Who developed Kling Image O1?

Kling Image O1 was developed by Kuaishou Technology, the company behind the broader Kling AI ecosystem.

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