Kling Image O1 | Fast Image Editing API

Kling Omni Image O1

Kling Omni Image O1 is Kuaishou's advanced multi-modal image generation model, featuring MVL (Multi-modal Visual Language) technology that combines natural language with image references for unprecedented creative control.

🌟 Four Key Advantages

1. Feature Consistency

Maintains subject characteristics across multiple images:

Preserved outlines and core elements
Consistent color tones and lighting
Unified style across series

2. Precise Detail Modifications

Edit images without professional skills:

Add new elements naturally
Remove unwanted objects cleanly
Modify specific details precisely
Maintain original style and texture

3. Style Control

Apply and maintain artistic styles:

Consistent visual language
Brand-aligned aesthetics
Cross-image style coherence

4. Rich Imagination

Generate creative variations while preserving identity:

New poses and scenarios
Environmental changes
Creative interpretations

🎯 Use Cases

IP Character Design — Create consistent character series
Comic Panel Creation — Maintain character identity across panels
Brand Merchandise — Unified styling for product lines
Image Editing — Professional modifications without skills
Series Content — Cohesive visual storytelling

🎬 Core Features

Multi-Reference Support — Up to 10 reference images simultaneously
Feature Extraction — Intelligent understanding of subject characteristics
Cross-Image Consistency — Stable identity across generations
Natural Language Control — Guide creation with text prompts

🚀 How to Use

Upload Reference Images Provide 1-10 reference images of your subject.
Describe Your Intent Write a prompt for the desired output.

Example: "The character in a winter coat, standing in a snowy forest, same art style"

Set Parameters Choose resolution and output format.
Generate Receive images with consistent subject features.

💡 Pro Tips

Use multiple angles of the same subject for better feature extraction
Provide clear, high-resolution reference images
Specify style elements you want to maintain
For character series, include various expressions and poses in references

Price

$0.028 per run

📝 Example Workflows

Workflow	Description
Character Series	Create consistent characters across different scenes
Product Variations	Generate product images with unified branding
Comic Creation	Maintain character identity across story panels
Style Transfer	Apply consistent artistic style to new subjects

Kling Image O1 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-image-o1 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Kling Image O1 below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-image-o1" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "num_images": 1
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("kwaivgi/kling-image-o1", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "1:1",
        "resolution": "1k",
        "num_images": 1
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "kwaivgi/kling-image-o1",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "num_images": 1
}
)

print(output["outputs"][0])  # → URL of the generated output

Kling Image O1 API — Frequently asked questions

What is the Kling Image O1 API?

Kling Image O1 is a Kuaishou model for image editing, exposed as a REST API on WaveSpeedAI. Kling Omni Image O1 is Kuaishou's multi-modal image generation model with MVL technology. Supports up to 10 reference images for feature consistency, precise detail editing (add/remove/modify), style control, and series content creation. Perfect for IP character design, comic panels, and brand merchandise. Ready-to-use REST API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Kling Image O1 API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-image-o1.

How much does Kling Image O1 cost per run?

Kling Image O1 starts at $0.028 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Kling Image O1 accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `resolution`, `num_images`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-image-o1.

How long does Kling Image O1 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 58 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Kling Image O1 outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Kuaishou). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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