Kuaishou: Kling IMAGE 3.0

Kling IMAGE 3.0 is an image generation model that targets professional-grade outputs with native 2K to 4K resolution. It focuses on realism through stronger handling of textures, lighting, and materials, and it supports image-to-image workflows for iterative refinement of subjects or layouts while keeping results consistent.

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kling-image-3-0

AvailableKuaishouImageSync

Price: From $0.028
Modalities: Image

About Kling IMAGE 3.0

Kling IMAGE 3.0 is Kuaishou's Kling image model for prompt-first generation and editing, described by Kling as combining natural language with images as the way you direct it. It is the lighter sibling of IMAGE O3 and is used for image-to-image editing: you change objects, backgrounds, or materials while the original style, lighting, and textures stay in place, with professional-grade 2K to 4K output.

Where it works well

Objects can be added, removed, or changed by text instruction while the original lighting, texture, and style are kept.
It reads the style of a reference image, including brush strokes, color combinations, and composition logic, and applies it to new content.
Backgrounds and materials can be swapped without masking work, which fits product shots.
Kling lists series generation, keeping a character consistent across a set of images.

When to choose another model

It edits from an existing image, so start from a source picture rather than a blank prompt.
Heavy multi-reference control and face-focused element control belong to IMAGE O3, the better pick for identity-critical sets.
Realism is its stated focus; strongly stylized illustration may suit other image models better.

Getting started

Create API key
Create a key in Console, then use it with every model on the platform.

Send your first request

Copy the example for your language and run it against the endpoint.

Image editingTokenLab endpoint

POST/v1/images/generations

curl -X POST "https://api.tokenlab.sh/v1/images/generations" \
  -H "Authorization: Bearer sk-xxx" \
  -H "Content-Type: application/json" \
  -d '{
  "operation": "image-to-image",
  "model": "kling-image-3-0",
  "prompt": "A minimalist product photo of matte black headphones on a soft blue background.",
  "image_url": "https://example.com/source.png"
}'

Pricing

Official price is the model maker's public baseline. TokenLab price is what you pay for this model on TokenLab.

Image editing

per image

Official price: $0.028
Official: $0.028
Discount: —

	Official priceper image	Officialper image	Discount
Image editing	$0.028	$0.028	—

Usage & activity

Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.

Usage & availability

Last 24 hours

Requests
Success rate
P95 latency
Total tokens

Model performance

Last updated Oct 3, 2026, 07:27 PM UTC

Metrics appear once privacy and data volume thresholds are met.

Data is based on aggregate user requests, excluding status checks.

Open in Console

Open Kling IMAGE 3.0 in Console with a prompt ready to edit or send.

Help me create an image with kling-image-3-0 using image-edit at /v1/images/edits. Show the result, cost, and any limits I should know.

Use cases

Product background swaps
Place an existing product photo into a new setting or surface and keep the product's own lighting and material detail.
Retouching a campaign image
Remove a distracting object or change a garment color by instruction while the rest of the frame stays untouched.
Style transfer from a reference
Take the palette and brushwork of one image and apply them to a different subject for a consistent campaign look.
Character variations
Generate a set of images of one character in different poses or outfits for storyboards or avatar sheets.

Prompt examples

Replace the white studio background with a sunlit oak table and soft window light, keep the ceramic mug exactly as it is.

Remove the person on the left and extend the street behind them, matching the film grain.

Repaint this portrait in the loose gouache style of the second reference image, keep the face recognizable.

FAQ

What is Kling IMAGE 3.0 used for?

Directing image changes in natural language. Kling describes it as editing and re-creation: add, remove, or modify elements, swap backgrounds and materials, or transfer a reference's style. It targets professional-grade realism at native 2K to 4K resolution.

How is it different from Kling IMAGE O3?

IMAGE O3 is the Omni model, built for control-heavy work with several reference images, series generation, and face-focused element control. IMAGE 3.0 is the simpler prompt-first model. Pick O3 when identity must hold across many outputs.

Does it need an input image?

Yes. It is an image-editing model, so an input image is the starting point and your instruction describes the change. For pure text-to-image generation from a blank prompt, use IMAGE O3.

Can it keep a character consistent across images?

Kling lists series generation among its features, and the user guide says it locks subject contours, core elements, and tone from reference images. For strict face identity across large batches, IMAGE O3 is the stronger choice.

How much does Kling IMAGE 3.0 cost?

On TokenLab, Kling IMAGE 3.0 costs $0.028 per image. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

Which endpoint should Kling IMAGE 3.0 use?

Use https://api.tokenlab.sh/v1/images/edits for Kling IMAGE 3.0. The request example below shows the matching code shape.

Which operations does Kling IMAGE 3.0 support?

Kling IMAGE 3.0 supports Image editing. Select an operation above to see its endpoint and request example.