FLUX.2 [klein] Base 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.
Idle

$0.021per run·~47 / $1

Change the forest into a misty mystery scene at dawn. Preserve the same man, face, pose, outfit, camera angle, and composition. Add dense fog, darker trees, soft beams of light, and a red scarf tied to a tree branch in the background as a subtle story clue. Keep the mood suspenseful but realistic.

Transform the scene into a rainy night city street. Preserve the same woman, face identity, pose, coat, camera angle, and composition. Add wet pavement reflections, soft neon bokeh lights, gentle rain, and subtle mist. Keep the lighting realistic and cinematic, no change to the subject's face or body.
WaveSpeed AI FLUX.2 Klein Base 9B Edit is a high-quality image editing model built for prompt-driven transformations, compositing, and style changes. Upload one or more source images, describe the edit in natural language, and generate polished results with stronger detail and better prompt understanding than the 4B variant.
Higher-quality editing The 9B parameter model delivers richer detail, stronger prompt adherence, and better overall edit quality than the 4B variant.
Natural-language editing Describe the change you want in plain language — transform style, replace elements, change mood, or combine multiple images.
Multi-image support Upload multiple reference images and perform compositing or cross-image edits such as “Put the person in image1 into image2.”
Flexible output sizing
Optionally set output dimensions, or leave size empty to preserve the original input dimensions.
Prompt Enhancer Built-in prompt enhancement can help improve edit quality and clarity.
Production-ready workflow Suitable for high-quality creative editing, marketing visuals, and more complex multi-image transformations.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired edit. |
| images | Yes | Source images to edit. Multiple images are supported. |
| size | No | Output dimensions. Leave empty to match the input image dimensions. |
| seed | No | Random seed for reproducibility. Use -1 for random generation. |
-1 for random generation, or enter a fixed seed for reproducible results.Put the person in image1 into image2, keep realistic lighting and proportions, and match the scene naturally.
| Item | Cost |
|---|---|
| Per image | $0.021 |
size and seed do not affect pricingimage1, image2, and so on.size empty when you want to preserve the original image dimensions.seed when comparing different prompt variations on the same images.prompt and images are required.size is not specified, the output matches the input image dimensions.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-base-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 Base 9b Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-base-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].// 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-base-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# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/flux-2-klein-base-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 outputFlux 2 Klein Base 9b Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. FLUX.2 [klein] Base 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.
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-base-9b-edit.
Flux 2 Klein Base 9b Edit 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.
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-base-9b-edit.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.