Flux 2 Klein 9B Edit LoRA | Custom LoRA Image API

FLUX.2 Klein 9B Edit LoRA

FLUX.2 Klein 9B Edit LoRA is a powerful image editing model with full LoRA support. With 9B parameters, it delivers higher quality edits and better prompt understanding. Upload images, describe your edits, and optionally apply custom LoRA adapters for personalized styles.

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, apply effects, and more.
LoRA support Apply custom LoRA adapters for personalized styles, characters, or visual aesthetics.
Multi-image input Upload multiple reference images for context-aware editing.
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)
loras	No	List of LoRA adapters to apply
size	No	Output dimensions (empty = same as input image)
seed	No	Random seed for reproducibility (-1 for random)

LoRA Format

Each LoRA in the loras array has:

path (required) — URL to the LoRA weights file
scale (optional) — Weight multiplier, default 1

How to Use

Write your prompt — describe the edit you want (e.g., "make it a real picture", "add sunset lighting").
Upload images — add source images using "+ Add Item" button.
Add LoRAs (optional) — click "+ Add Item" to include custom LoRA adapters.
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	$0.021

Simple flat-rate pricing regardless of image size or LoRA count.

Best Use Cases

Style Transfer — Transform images with custom LoRA styles.
Reality Enhancement — Convert illustrations or renders to photorealistic images.
Character Consistency — Apply character LoRAs while editing images.
High-Quality Retouching — When 4B quality isn't enough for professional work.
Production Editing — Balanced quality and cost for professional content.

Pro Tips

Be specific in your prompt — clearly describe what should change.
Use LoRAs to add consistent styles across multiple edits.
Leave size empty to preserve original image dimensions.
Start with LoRA scale 1.0 and adjust based on results.
Use the same seed to compare different prompts or LoRA combinations.

Notes

If size is not specified, output matches input image dimensions.
9B model offers better detail than 4B at slightly higher cost.
For best results, use high-quality source images.

Related Models

FLUX.2 Klein 9B Edit — Standard version without LoRA support.
FLUX.2 Klein 4B Edit LoRA — Lighter 4B version at lower cost.
FLUX.2 Klein 9B Text-to-Image LoRA — Text-to-image generation with LoRA support.

Flux 2 Klein 9b Edit Lora API — Quick start

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

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-9b/edit-lora" \
  -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-lora", {
        "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-lora",
    {
    "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 Lora API — Frequently asked questions

What is the Flux 2 Klein 9b Edit Lora API?

Flux 2 Klein 9b Edit Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. FLUX.2 [klein] 9B Edit with LoRA support is a high-quality image editing model with 9B parameters, offering precise modifications using natural language instructions and personalized styles via custom LoRA adapters. 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 Lora 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-lora.

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

Flux 2 Klein 9b Edit Lora starts at $0.021 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 Lora accept?

Key inputs: `prompt`, `images`, `seed`, `enable_base64_output`, `enable_sync_mode`, `loras`. 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-lora.

How long does Flux 2 Klein 9b Edit Lora 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 Lora 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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