Kling Image O1
Kling Omni Image O1 is Kuaishou's multi-reference image generation model that maintains stunning visual consistency across characters, styles, and scenes using up to 10 reference images at once.
Multi-reference image generation with visual consistency
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.
What Kling Image O1 supports
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.
Character Consistency
Preserves subject identity across multiple generated images, maintaining recognizable features of characters or objects from one output to the next.
Style Control
Sustains a coherent visual aesthetic and tone across an entire project, suitable for brand systems, comic series, and marketing campaigns.
Precision Element Editing
Allows specific elements to be added, removed, or modified through natural language instructions without disrupting the surrounding style or texture.
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.
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.
Ready to build with Kling Image O1?
Get Started FreeCommon 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.
Documentation & links
Parameters & options
Provide up to 10 references images of the scene, subject, objects, or anything else in the image.
Explore similar models
Start building with Kling Image O1
No API keys required. Create AI-powered workflows with Kling Image O1 in minutes — free.