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Kling O1 Image-to-Image Editor

Perform precise, context-aware edits with strong reference control. Seamlessly transplant subjects and blend styles using up to 10 reference images—no manual masking required. Generate consistent, high-fidelity visuals at up to 2K resolution.
Kling O1 AI editing demo showing seamless subject transplantation and style consistency without masking
icon Multi-Reference Editing Guide

How to Use Kling O1 Image-to-Image

Master the reference-based workflow to blend up to 10 images seamlessly. Follow these steps to achieve precise subject transplantation and style consistency without complex masking.
Step 1

Input Reference Images

Upload or link up to 10 source images. These define your subjects and scenes (automatically indexed as @Image1, @Image2...) for the model to interpret.
Step 2

Construct Semantic Prompts

Write prompts that define relationships rather than pixels. Use syntax like 'Put @Image1 into the backseat of @Image2' to drive context-aware editing.
Step 3

Select Resolution & Fidelity

Choose between standard 1K or high-definition 2K modes. Select one of 9 aspect ratios to ensure your composition fits your target platform perfectly.
Step 4

Generate High-Fidelity Results

Click Generate to process the references. The model analyzes semantic context to output consistent, realistic edits in your chosen format (JPEG/PNG/WebP).
icon Advanced Capabilities

Why Kling O1 Is The Best Choice for Precise Editing

Move beyond random generation. Kling O1 combines multi-reference logic, semantic context understanding, and high-fidelity resolution to deliver professional-grade image composition and consistency.

Multi-Reference Consistency

Process up to 10 source images in a single prompt. Maintain perfect character identity and visual style across different scenes using the unique @Image reference system.
Try Reference Editing

Mask-Free Semantic Editing

Forget manual masking or regional prompting. Kling O1 understands natural language instructions like 'put @Image1 in the back seat of @Image2', handling complex layering automatically.
Edit Without Masks

Context-Aware Transplantation

Transplant subjects into new environments with photorealistic accuracy. The AI analyzes lighting, perspective, and shadows to ensure the inserted subject looks like it naturally belongs there.
See Context Blending

2K High-Fidelity Resolution

Generate crisp, production-ready assets at up to 2K resolution (4 megapixels). Intelligent aspect ratio detection ensures your compositions are sharp and formatted correctly.
View Quality
icon Simple Pricing

Kling O1 Image Editor Pricing

Unlock professional-grade multi-reference editing with a transparent flat-rate model. Our pricing covers the complex semantic processing power required to analyze up to 10 images and render high-fidelity 2K results.
Name & RoleCredits
Kling O1 Generation
5 Credits per image
5
icon Common Questions

Frequently Asked Questions about Kling O1

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What makes Kling O1 different from standard image generators?

Unlike standard text-to-image models, Kling O1 is a specialized 'Image-to-Image' editor. It uses a multi-reference system (up to 10 images) to perform precise subject transplantation and style transfer without requiring manual masking or complex prompt engineering.

How do I use the @Image reference syntax?

It's simple logic. Upload your source images, and the system assigns them IDs (e.g., @Image1, @Image2). In your prompt, describe the relationship: 'Put @Image1 sitting on the chair in @Image2'. The AI understands the context and blends them automatically.

Can Kling O1 maintain character consistency?

Yes. This is its strongest feature. By referencing a character image (@Image1) across multiple generations, you can place the exact same person into different scenes, outfits, or lighting conditions while preserving their facial identity.

Why does it cost 5 credits per image?

Kling O1 performs complex semantic analysis across multiple input sources, which requires significantly more GPU power than random generation. The 5-credit fee ensures high-fidelity processing and supports output resolutions up to 2K.

Do I need to manually mask the area I want to edit?

No. Kling O1 is a 'mask-free' editing tool. It uses semantic understanding to identify objects and backgrounds. You don't need to paint pixels; just tell the AI what to change using natural language.

What file formats and resolutions are supported?

You can generate images in JPEG, PNG, or WebP formats. The tool supports standard 1K resolution and a high-definition 2K mode (up to 4 megapixels) for professional use.

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