Flux 2 Klein 9B Edit | Fast Image Editing API

FLUX.2 Klein 9B Edit

FLUX.2 Klein 9B Edit is a powerful image editing model with 9B parameters. Upload images and describe your edits in natural language — the model delivers higher quality transformations and better prompt understanding than the 4B variant.

Why Choose This?

Enhanced editing quality 9B parameter model delivers richer detail and better prompt interpretation than the 4B variant.
Text-guided editing Describe edits in natural language — transform styles, modify content, combine elements, and more.
Multi-image input Upload multiple reference images and combine elements across them (e.g., "Put the person in image1 into image2").
Flexible output sizing Optionally set output size, or leave empty to match input image dimensions.
Prompt Enhancer Built-in tool to automatically improve your prompts for better results.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the desired edit
images	Yes	Source images to edit (can add multiple)
size	No	Output dimensions (empty = same as input image)
seed	No	Random seed for reproducibility (-1 for random)

How to Use

Write your prompt — describe the edit you want (e.g., "Put the person in image1 into image2", "Change to watercolor style").
Upload images — add source images using "+ Add Item" button.
Set size (optional) — specify output dimensions or leave empty to match input.
Set seed — use -1 for random, or specify a number for reproducibility.
Run — submit and download the edited image.

Pricing

Item	Cost
Per image	$0.016

Simple flat-rate pricing regardless of image size.

Best Use Cases

Image Compositing — Combine elements from multiple images seamlessly.
Style Transfer — Transform images to different artistic styles with high fidelity.
Professional Editing — When 4B quality isn't enough for production work.
Content Transformation — Change moods, lighting, or visual themes with precision.
Complex Edits — Multi-image operations that require better understanding.

Pro Tips

Be specific in your prompt — clearly describe what should change.
Reference images by number in prompts (e.g., "Put the person in image1 into image2").
Leave size empty to preserve original image dimensions.
Use the same seed to compare different prompts on the same images.

Notes

If size is not specified, output matches input image dimensions.
9B model offers better detail than 4B at slightly higher cost.
Need LoRA support? Try FLUX.2 Klein 9B Edit LoRA.

Related Models

FLUX.2 Klein 9B Edit LoRA — Edit with LoRA support for custom styles.
FLUX.2 Klein 4B Edit — Lighter 4B version at lower cost.
FLUX.2 Klein 9B Text-to-Image — Text-to-image generation.

Flux 2 Klein 9b Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-9b/edit 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 Flux 2 Klein 9b Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-9b/edit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# 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("wavespeed-ai/flux-2-klein-9b/edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "seed": -1,
        "enable_sync_mode": false,
        "enable_base64_output": false
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/flux-2-klein-9b/edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

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

Flux 2 Klein 9b Edit API — Frequently asked questions

What is the Flux 2 Klein 9b Edit API?

Flux 2 Klein 9b Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. FLUX.2 [klein] 9B Edit is a high-quality image editing model with 9B parameters, offering precise modifications using natural language instructions. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Flux 2 Klein 9b Edit 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/wavespeed-ai/flux-2-klein-9b-edit.

How much does Flux 2 Klein 9b Edit cost per run?

Flux 2 Klein 9b Edit starts at $0.016 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 Flux 2 Klein 9b Edit accept?

Key inputs: `prompt`, `images`, `seed`, `enable_base64_output`, `enable_sync_mode`. 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/wavespeed-ai/flux-2-klein-9b-edit.

How long does Flux 2 Klein 9b Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 8 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Flux 2 Klein 9b Edit outputs commercially?

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

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